86>Jul 25 12:59:12 userdel[3853330]: delete user 'rooter'
<86>Jul 25 12:59:12 userdel[3853330]: removed group 'rooter' owned by 'rooter'
<86>Jul 25 12:59:12 groupadd[3853335]: group added to /etc/group: name=rooter, GID=618
<86>Jul 25 12:59:12 groupadd[3853335]: group added to /etc/gshadow: name=rooter
<86>Jul 25 12:59:12 groupadd[3853335]: new group: name=rooter, GID=618
<86>Jul 25 12:59:12 useradd[3853339]: new user: name=rooter, UID=618, GID=618, home=/root, shell=/bin/bash
<86>Jul 25 12:59:12 userdel[3853345]: delete user 'builder'
<86>Jul 25 12:59:12 userdel[3853345]: removed group 'builder' owned by 'builder'
<86>Jul 25 12:59:12 userdel[3853345]: removed shadow group 'builder' owned by 'builder'
<86>Jul 25 12:59:12 groupadd[3853350]: group added to /etc/group: name=builder, GID=619
<86>Jul 25 12:59:12 groupadd[3853350]: group added to /etc/gshadow: name=builder
<86>Jul 25 12:59:12 groupadd[3853350]: new group: name=builder, GID=619
<86>Jul 25 12:59:12 useradd[3853354]: new user: name=builder, UID=619, GID=619, home=/usr/src, shell=/bin/bash
warning: user igor does not exist - using root
warning: group igor does not exist - using root
warning: user igor does not exist - using root
warning: group igor does not exist - using root
warning: user igor does not exist - using root
warning: group igor does not exist - using root
warning: Macro %pom_remove_plugin not found
warning: Macro %pom_remove_plugin not found
warning: Macro %pom_remove_plugin not found
warning: Macro %pom_remove_plugin not found
warning: Macro %pom_remove_plugin not found
warning: Macro %pom_xpath_set not found
warning: Macro %pom_disable_module not found
warning: Macro %pom_disable_module not found
warning: Macro %pom_xpath_inject not found
warning: Macro %mvn_build not found
warning: Macro %mvn_install not found
<13>Jul 25 12:59:16 rpmi: javapackages-tools-1:5.0.0-alt1_12jpp8.M90P.1 p9+263388.100.2.1 1608141549 installed
<13>Jul 25 12:59:16 rpmi: plexus-utils-0:3.0.24-alt1_5jpp8 1524376364 installed
<13>Jul 25 12:59:16 rpmi: apache-commons-io-1:2.6-alt1_3jpp8 1526474591 installed
<13>Jul 25 12:59:16 rpmi: maven-shared-utils-3.2.1-alt1_0.1jpp8 1527848452 installed
<13>Jul 25 12:59:16 rpmi: apache-commons-logging-0:1.2-alt1_14jpp8 sisyphus+220622.100.1.1 1549363457 installed
<13>Jul 25 12:59:16 rpmi: plexus-containers-component-annotations-0:1.7.1-alt1_6jpp8 1527990031 installed
<13>Jul 25 12:59:16 rpmi: plexus-interpolation-0:1.22-alt1_9jpp8 1524313082 installed
<13>Jul 25 12:59:16 rpmi: slf4j-0:1.7.25-alt1_4jpp8 1525924634 installed
<13>Jul 25 12:59:16 rpmi: maven-wagon-provider-api-0:3.0.0-alt1_1jpp8 1511394275 installed
<13>Jul 25 12:59:16 rpmi: xml-commons-apis-1.4.01-alt3_26jpp8 sisyphus+220521.100.1.1 1549294732 installed
<13>Jul 25 12:59:16 rpmi: apache-commons-codec-0:1.11-alt1_4jpp8 sisyphus+220604.100.1.1 1549341232 installed
<13>Jul 25 12:59:16 rpmi: apache-commons-lang3-3.7-alt1_4jpp8 sisyphus+220620.100.1.1 1549356987 installed
<13>Jul 25 12:59:16 rpmi: httpcomponents-core-4.4.9-alt1_4jpp8 1525820092 installed
<13>Jul 25 12:59:16 rpmi: plexus-classworlds-0:2.5.2-alt2_9jpp8 1524311141 installed
<13>Jul 25 12:59:16 rpmi: hawtjni-runtime-0:1.16-alt1_1jpp8 1527820189 installed
<13>Jul 25 12:59:16 rpmi: atinject-0:1-alt7_29.20100611svn86jpp8 sisyphus+220650.100.1.1 1549392067 installed
<13>Jul 25 12:59:16 rpmi: guava20-20.0-alt1_5jpp8 1526562255 installed
<13>Jul 25 12:59:16 rpmi: maven-resolver-api-1:1.1.1-alt1_2jpp8 1527821514 installed
<13>Jul 25 12:59:16 rpmi: maven-resolver-util-1:1.1.1-alt1_2jpp8 1527821514 installed
<13>Jul 25 12:59:16 rpmi: maven-resolver-spi-1:1.1.1-alt1_2jpp8 1527821514 installed
<13>Jul 25 12:59:16 rpmi: xmvn-api-3.0.0-alt1_18jpp8 1527991448 installed
<13>Jul 25 12:59:16 rpmi: xmvn-core-3.0.0-alt1_18jpp8 1527991448 installed
<13>Jul 25 12:59:16 rpmi: jansi-native-0:1.7-alt1_5jpp8 1523818758 installed
<13>Jul 25 12:59:16 rpmi: jcl-over-slf4j-0:1.7.25-alt1_4jpp8 1525924634 installed
<13>Jul 25 12:59:16 rpmi: maven-model-1:2.2.1-alt6_56jpp8 1510505131 installed
<13>Jul 25 12:59:16 rpmi: aopalliance-0:1.0-alt6_17jpp8 1526473615 installed
<13>Jul 25 12:59:16 rpmi: apache-commons-cli-0:1.4-alt1_5jpp8 sisyphus+220603.100.1.1 1549340562 installed
<13>Jul 25 12:59:16 rpmi: apache-commons-collections-0:3.2.2-alt1_8jpp8 1527882341 installed
<13>Jul 25 12:59:16 rpmi: plexus-cipher-1.7-alt3_14jpp8 1524310885 installed
<13>Jul 25 12:59:17 rpmi: osgi-core-6.0.0-alt1_6jpp8 1524308153 installed
<13>Jul 25 12:59:17 rpmi: xorg-proto-devel-2021.4-alt1 p9+272150.100.1.1 1621427342 installed
<13>Jul 25 12:59:17 rpmi: libjpeg-2:2.0.2-alt1 sisyphus+226996.100.1.1 1554902907 installed
<13>Jul 25 12:59:17 rpmi: libpng16-1.6.36-alt1 sisyphus+219478.100.1.1 1547633314 installed
<13>Jul 25 12:59:17 rpmi: libexpat-2.2.10-alt1 p9+261554.100.1.1 1605103337 installed
<13>Jul 25 12:59:17 rpmi: plexus-sec-dispatcher-1.4-alt4_24jpp8 1524313702 installed
<13>Jul 25 12:59:17 rpmi: google-guice-0:4.1-alt1_12jpp8 sisyphus+221708.100.1.1 1550375735 installed
<13>Jul 25 12:59:17 rpmi: maven-resolver-connector-basic-1:1.1.1-alt1_2jpp8 1527821514 installed
<13>Jul 25 12:59:17 rpmi: maven-resolver-impl-1:1.1.1-alt1_2jpp8 1527821514 installed
<13>Jul 25 12:59:17 rpmi: maven-resolver-transport-wagon-1:1.1.1-alt1_2jpp8 1527821514 installed
<13>Jul 25 12:59:17 rpmi: maven-wagon-file-0:3.0.0-alt1_1jpp8 1511394275 installed
<13>Jul 25 12:59:17 rpmi: maven-artifact-1:2.2.1-alt6_56jpp8 1510505131 installed
<13>Jul 25 12:59:17 rpmi: apache-commons-lang-0:2.6-alt5_22jpp8 sisyphus+220619.100.1.1 1549325921 installed
<13>Jul 25 12:59:17 rpmi: velocity-1:1.7-alt3_22jpp8 1525930039 installed
<13>Jul 25 12:59:17 rpmi: geronimo-annotation-1.0-alt4_24jpp8 sisyphus+221131.100.1.2 1549788027 installed
<13>Jul 25 12:59:17 rpmi: xpp3-1:1.1.4-alt1_19.cjpp8 sisyphus+220580.100.1.1 1549324731 installed
<13>Jul 25 12:59:17 rpmi: beust-jcommander-1.71-alt1_3jpp8 1523858260 installed
<13>Jul 25 12:59:17 rpmi: libICE-1.0.9-alt1 1409902721 installed
<13>Jul 25 12:59:17 rpmi: xml-utils-1:2.9.10-alt6 p9+266566.100.3.1 1614357035 installed
<13>Jul 25 12:59:17 rpmi: libSM-1.2.3-alt1 sisyphus+226734.100.2.1 1554586158 installed
<13>Jul 25 12:59:17 rpmi: xmvn-connector-aether-3.0.0-alt1_18jpp8 1527991448 installed
<13>Jul 25 12:59:17 rpmi: xmlgraphics-commons-0:2.2-alt1_2jpp8 sisyphus+220498.100.1.1 1549281765 installed
<13>Jul 25 12:59:17 rpmi: plexus-build-api-0:0.0.7-alt3_20jpp8 1525915372 installed
<13>Jul 25 12:59:17 rpmi: osgi-compendium-6.0.0-alt1_5jpp8 1524307639 installed
<13>Jul 25 12:59:17 rpmi: felix-utils-1.10.4-alt1_3jpp8 sisyphus+221058.100.1.2 1549747041 installed
<13>Jul 25 12:59:17 rpmi: qdox-1:2.0-alt1_0.12.M7jpp8 1525919952 installed
<13>Jul 25 12:59:17 rpmi: liblksctp-1.0.17-alt2 1523113261 installed
<13>Jul 25 12:59:17 rpmi: libnettle6-3.4.1-alt1 sisyphus+226533.100.2.1 1554512222 installed
<13>Jul 25 12:59:17 rpmi: libglvnd-7:1.3.2-alt0.p9 p9+265957.240.8.1 1617618230 installed
<13>Jul 25 12:59:17 rpmi: libwayland-server-1.18.0-alt1 p9+260591.100.12.1 1606212861 installed
<13>Jul 25 12:59:17 rpmi: sgml-common-0.6.3-alt15 1423664786 installed
<13>Jul 25 12:59:17 rpmi: log4j12-1.2.17-alt1_23jpp8 sisyphus+220162.100.2.1 1549021303 installed
<13>Jul 25 12:59:17 rpmi: libp11-kit-0.23.15-alt2 p9+254920.2400.19.1 1601385903 installed
<13>Jul 25 12:59:17 rpmi: libtasn1-4.14-alt1 p9+235792.100.2.1 1565425233 installed
<13>Jul 25 12:59:17 rpmi: docbook-dtds-4.5-alt1 1223476557 installed
<13>Jul 25 12:59:17 rpmi: docbook-style-xsl-1.79.1-alt2 sisyphus.213665.100 1537949315 installed
<13>Jul 25 12:59:17 rpmi: libhogweed4-3.4.1-alt1 sisyphus+226533.100.2.1 1554512222 installed
<13>Jul 25 12:59:17 rpmi: lksctp-tools-1.0.17-alt2 1523113261 installed
<13>Jul 25 12:59:17 rpmi: felix-bundlerepository-2.0.10-alt1_4jpp8 sisyphus+220992.100.1.2 1549693453 installed
<13>Jul 25 12:59:17 rpmi: libICE-devel-1.0.9-alt1 1409902721 installed
<13>Jul 25 12:59:17 rpmi: libSM-devel-1.2.3-alt1 sisyphus+226734.100.2.1 1554586158 installed
<13>Jul 25 12:59:17 rpmi: kxml-2.3.0-alt3_16jpp8 1524305282 installed
<13>Jul 25 12:59:17 rpmi: apache-commons-configuration-0:1.10-alt1_12jpp8 sisyphus+220606.100.1.1 1549344005 installed
<13>Jul 25 12:59:17 rpmi: libjasper-2.0.22-alt1 p9+259398.100.5.1 1602695044 installed
<13>Jul 25 12:59:17 rpmi: jcsp-1.1-alt1_0.10.rc5jpp8 sisyphus+221980.100.1.1 1550546630 installed
<13>Jul 25 12:59:17 rpmi: xmvn-mojo-3.0.0-alt1_18jpp8 1527991448 installed
<13>Jul 25 12:59:17 rpmi: maven-dependency-tree-3.0-alt1_4jpp8 1510507072 installed
<13>Jul 25 12:59:17 rpmi: plexus-component-api-1.0-alt4_0.24.alpha15jpp8 1524311381 installed
<13>Jul 25 12:59:17 rpmi: plexus-interactivity-api-0:1.0-alt6_0.25.alpha6jpp8 1525919089 installed
<13>Jul 25 12:59:17 rpmi: apache-commons-httpclient-1:3.1-alt6_27jpp8 1510082305 installed
<13>Jul 25 12:59:17 rpmi: maven-invoker-2.2-alt1_6jpp8 1510802103 installed
<13>Jul 25 12:59:17 rpmi: fontbox-0:1.8.13-alt2_4jpp8 1525914053 installed
<13>Jul 25 12:59:17 rpmi: plexus-io-0:3.0.0-alt1_2jpp8 1527187473 installed
<13>Jul 25 12:59:17 rpmi: plexus-compiler-0:2.8.2-alt1_2jpp8 1525918408 installed
<13>Jul 25 12:59:18 rpmi: ant-lib-0:1.10.3-alt1_2jpp8 1528243545 installed
<13>Jul 25 12:59:18 rpmi: objenesis-0:2.6-alt1_1jpp8 1511395274 installed
<13>Jul 25 12:59:18 rpmi: apache-commons-compress-0:1.16.1-alt1_1jpp8 1526491832 installed
<13>Jul 25 12:59:18 rpmi: apache-ivy-0:2.4.0-alt1_12jpp8 1527882603 installed
<13>Jul 25 12:59:18 rpmi: apache-resource-bundles-1:2-alt4_21jpp8 sisyphus+220641.100.1.2 1549429751 installed
<13>Jul 25 12:59:18 rpmi: glassfish-el-api-3.0.1-alt1_0.9.b08jpp8 sisyphus+221160.100.1.1 1549796961 installed
<13>Jul 25 12:59:18 rpmi: jboss-interceptors-1.2-api-1.0.0-alt1_9jpp8 sisyphus+221843.100.1.1 1550450624 installed
<13>Jul 25 12:59:18 rpmi: cdi-api-1.2-alt1_9jpp8 sisyphus+220672.100.1.1 1549401296 installed
<13>Jul 25 12:59:18 rpmi: sisu-inject-2:0.3.3-alt1_3jpp8 1525924258 installed
<13>Jul 25 12:59:18 rpmi: sisu-plexus-2:0.3.3-alt1_3jpp8 1525924258 installed
<13>Jul 25 12:59:18 rpmi: fusesource-pom-0:1.11-alt1_4jpp8 sisyphus+221128.100.1.1 1549752021 installed
<13>Jul 25 12:59:18 rpmi: jansi-0:1.17-alt1_1jpp8 1527875993 installed
<13>Jul 25 12:59:18 rpmi: jsoup-1.11.3-alt1_1jpp8 1527820709 installed
<13>Jul 25 12:59:18 rpmi: maven-filesystem-0.01-alt2.1 1460115697 installed
<13>Jul 25 12:59:18 rpmi: maven-monitor-1:2.2.1-alt6_56jpp8 1510505131 installed
<13>Jul 25 12:59:18 rpmi: xpp3-minimal-1:1.1.4-alt1_19.cjpp8 sisyphus+220580.100.1.1 1549324731 installed
<13>Jul 25 12:59:18 rpmi: xstream-0:1.4.9-alt1_7jpp8 1524214178 installed
<13>Jul 25 12:59:18 rpmi: extra166y-1.7.0-alt1_10jpp8 sisyphus+220916.100.1.3 1549643912 installed
<13>Jul 25 12:59:18 rpmi: jzlib-0:1.1.3-alt1_8jpp8 1525901378 installed
<13>Jul 25 12:59:18 rpmi: netty3-3.10.6-alt2_5jpp8 sisyphus+220441.100.1.1 1549124381 installed
<13>Jul 25 12:59:18 rpmi: multiverse-0.7.0-alt1_8jpp8 1527807673 installed
<13>Jul 25 12:59:18 rpmi: osgi-annotation-6.0.0-alt1_7jpp8 1524306983 installed
<13>Jul 25 12:59:18 rpmi: aqute-bndlib-0:3.5.0-alt1_2jpp8 1523847009 installed
<13>Jul 25 12:59:18 rpmi: avalon-logkit-0:2.1-alt2_29jpp8 1525884624 installed
<13>Jul 25 12:59:18 rpmi: avalon-framework-0:4.3-alt4_19jpp8 1525884383 installed
<13>Jul 25 12:59:18 rpmi: jai-imageio-core-1.2-alt1_0.24.20100217cvsjpp8 sisyphus+221788.100.1.1 1550423410 installed
<13>Jul 25 12:59:18 rpmi: dain-snappy-0.4-alt1_6jpp8 sisyphus+220815.100.1.1 1549458793 installed
<13>Jul 25 12:59:18 rpmi: glassfish-servlet-api-3.1.0-alt3_15jpp8 sisyphus+221214.100.1.1 1550340139 installed
<13>Jul 25 12:59:18 rpmi: felix-osgi-core-0:1.4.0-alt5_24jpp8 sisyphus+220997.100.1.2 1549734401 installed
<13>Jul 25 12:59:18 rpmi: felix-osgi-foundation-1.2.0-alt5_24jpp8 sisyphus+221051.100.1.2 1549737045 installed
<13>Jul 25 12:59:18 rpmi: java-common-1.6.0-alt1 p9+234085.100.1.1 1562573623 installed
<13>Jul 25 12:59:18 rpmi: hamcrest-core-0:1.3-alt3_23jpp8 1525893879 installed
<13>Jul 25 12:59:18 rpmi: junit-1:4.12-alt1_8jpp8 1525900612 installed
<13>Jul 25 12:59:18 rpmi: maven-verifier-1.6-alt1_5jpp8 1510518576 installed
<13>Jul 25 12:59:18 rpmi: jackson-core-2.9.4-alt1_3jpp8 sisyphus+221780.100.1.1 1550413227 installed
<13>Jul 25 12:59:18 rpmi: xz-java-1.8-alt1_2jpp8 1525824473 installed
<13>Jul 25 12:59:18 rpmi: plexus-archiver-0:3.6.0-alt1_1jpp8 1527822734 installed
<13>Jul 25 12:59:18 rpmi: zip-30000000:3.0-alt1 1332241772 installed
<13>Jul 25 12:59:18 rpmi: rpm-macros-java-1:5.0.0-alt1_12jpp8.M90P.1 p9+263388.100.2.1 1608141549 installed
<13>Jul 25 12:59:18 rpmi: libnatspec-0.3.1-alt2 1445691580 installed
<13>Jul 25 12:59:18 rpmi: unzip-6.0-alt4 p9+261695.100.1.1 1605219254 installed
<13>Jul 25 12:59:18 rpmi: libpcsclite-1.9.0-alt1 p9+260393.100.3.1 1604003804 installed
<13>Jul 25 12:59:18 rpmi: libsqlite3-3.33.0-alt1 p9+258834.40.2.1 1601365057 installed
<13>Jul 25 12:59:18 rpmi: libnspr-1:4.28-alt1 p9+254920.20.18.1 1601209854 installed
<13>Jul 25 12:59:18 rpmi: javazi-2021a-alt1 p9+265336.400.3.1 1612252875 installed
<13>Jul 25 12:59:18 rpmi: libgif-4.1.6-alt3 1299634261 installed
<13>Jul 25 12:59:18 rpmi: libidn2-2.2.0-alt1 p9+229971.100.2.1 1558696281 installed
<13>Jul 25 12:59:19 rpmi: libgnutls30-3.6.16-alt1 p9+273087.100.1.1 1622487001 installed
<13>Jul 25 12:59:19 rpmi: liblz4-1:1.9.2-alt1 p9+238696.500.1.1 1570228299 installed
<13>Jul 25 12:59:19 rpmi: libgpg-error-1.36-alt1 p9+261942.140.4.1 1606237675 installed
<13>Jul 25 12:59:19 rpmi: libgcrypt20-1.8.5-alt3 p9+261942.200.4.1 1606237923 installed
<13>Jul 25 12:59:19 rpmi: libsystemd-1:246.14-alt1 p9+279856.100.1.1 1626804758 installed
<13>Jul 25 12:59:19 rpmi: libdbus-1.12.16-alt2 p9+240607.100.1.1 1573553687 installed
<13>Jul 25 12:59:19 rpmi: libavahi-0.8-alt2 p9+270905.100.1.1 1619639865 installed
<13>Jul 25 12:59:19 rpmi: libcups-2.3.3-alt6.op2 p9+272723.300.4.1 1624275925 installed
<13>Jul 25 12:59:19 rpmi: libxslt-1.1.34-alt1.p9.1 p9+261811.300.3.1 1605513919 installed
<13>Jul 25 12:59:19 rpmi: icon-theme-hicolor-0.17-alt2 p9+248347.100.1.1 1584981172 installed
<13>Jul 25 12:59:19 rpmi: libwebp7-1.0.3-alt1 p9+234901.200.1.1 1563552457 installed
<13>Jul 25 12:59:19 rpmi: libjbig-2.1-alt1 1401380926 installed
<13>Jul 25 12:59:19 rpmi: libtiff5-4.0.10.0.57.f9fc01c3-alt1 sisyphus+226958.100.1.1 1554850940 installed
<13>Jul 25 12:59:19 rpmi: shared-mime-info-1.13.1-alt1 p9+238204.100.1.1 1569496447 installed
<13>Jul 25 12:59:19 rpmi: gsettings-desktop-schemas-data-3.32.0-alt1 sisyphus+225059.300.3.2 1552843929 installed
<13>Jul 25 12:59:19 rpmi: libgio-2.60.7-alt1 p9+237353.100.2.2 1568373081 installed
<13>Jul 25 12:59:19 rpmi: gsettings-desktop-schemas-3.32.0-alt1 sisyphus+225059.300.3.2 1552843980 installed
<13>Jul 25 12:59:19 rpmi: libgdk-pixbuf-locales-2.38.2-alt1 p9+237353.1000.2.2 1568374008 installed
<13>Jul 25 12:59:19 rpmi: libgdk-pixbuf-2.38.2-alt1 p9+237353.1000.2.2 1568374336 installed
<13>Jul 25 12:59:19 rpmi: gtk-update-icon-cache-3.24.29-alt0.M90P.1 p9+277455.200.2.1 1625582492 installed
<13>Jul 25 12:59:19 rpmi: libgtk+2-locales-2.24.32-alt3 sisyphus+227306.100.1.3 1555646039 installed
<13>Jul 25 12:59:19 rpmi: libdatrie-0.2.9-alt1_6 1511686676 installed
<13>Jul 25 12:59:19 rpmi: libthai-0.1.28-alt1_1 sisyphus+226107.100.1.1 1554123079 installed
<13>Jul 25 12:59:19 rpmi: libfribidi-1.0.7-alt1 p9+238309.200.1.1 1569787058 installed
<13>Jul 25 12:59:19 rpmi: libpixman-3:0.38.4-alt1 sisyphus+228006.100.1.1 1556013870 installed
<13>Jul 25 12:59:19 rpmi: libxshmfence-1.3-alt1 sisyphus+223149.1000.2.1 1551268571 installed
<13>Jul 25 12:59:19 rpmi: libwayland-client-1.18.0-alt1 p9+260591.100.12.1 1606212861 installed
<13>Jul 25 12:59:19 rpmi: libpciaccess-1:0.14-alt1 1528969252 installed
<13>Jul 25 12:59:19 rpmi: libdrm-1:2.4.105-alt2 p9+271012.100.1.1 1619786697 installed
<13>Jul 25 12:59:19 rpmi: libgbm-4:21.0.3-alt1 p9+271012.200.3.1 1621244977 installed
<13>Jul 25 12:59:19 rpmi: libatk-locales-2.32.0-alt1 sisyphus+225059.600.3.2 1552845198 installed
<13>Jul 25 12:59:19 rpmi: libatk-2.32.0-alt1 sisyphus+225059.600.3.2 1552845362 installed
<13>Jul 25 12:59:19 rpmi: libX11-locales-3:1.7.2-alt1 p9+273972.100.2.1 1623924318 installed
<13>Jul 25 12:59:19 rpmi: libXdmcp-1.1.3-alt1 sisyphus+225206.600.1.2 1552949353 installed
<13>Jul 25 12:59:19 rpmi: libXau-1.0.9-alt1 sisyphus+223149.200.2.1 1551268152 installed
<13>Jul 25 12:59:19 rpmi: libxcb-1.13.1-alt1 sisyphus+226527.100.2.2 1554593801 installed
<13>Jul 25 12:59:20 rpmi: libX11-3:1.7.2-alt1 p9+273972.100.2.1 1623924397 installed
<13>Jul 25 12:59:20 rpmi: libXext-1.3.4-alt1 sisyphus+225206.700.1.2 1552949429 installed
<13>Jul 25 12:59:20 rpmi: libXrender-0.9.10-alt1 p9+261891.200.2.1 1606149111 installed
<13>Jul 25 12:59:20 rpmi: libXfixes-5.0.3-alt1 sisyphus+226736.100.2.2 1554614841 installed
<13>Jul 25 12:59:20 rpmi: libXi-1.7.9-alt2 sisyphus+226377.100.1.2 1554260260 installed
<13>Jul 25 12:59:20 rpmi: libXcomposite-0.4.5-alt1 sisyphus+225206.300.1.2 1552949137 installed
<13>Jul 25 12:59:20 rpmi: libXcursor-1.2.0-alt1 sisyphus+225206.400.1.2 1552949218 installed
<13>Jul 25 12:59:20 rpmi: libXrandr-1.5.2-alt1 sisyphus+225206.1300.1.2 1552949710 installed
<13>Jul 25 12:59:20 rpmi: libXxf86vm-1.1.4-alt2 1527672187 installed
<13>Jul 25 12:59:20 rpmi: libGLX-mesa-4:21.0.3-alt1 p9+271012.200.3.1 1621244977 installed
<13>Jul 25 12:59:20 rpmi: libEGL-mesa-4:21.0.3-alt1 p9+271012.200.3.1 1621244977 installed
<13>Jul 25 12:59:20 rpmi: libEGL-7:1.3.2-alt0.p9 p9+265957.240.8.1 1617618230 installed
<13>Jul 25 12:59:20 rpmi: libGLX-7:1.3.2-alt0.p9 p9+265957.240.8.1 1617618230 installed
<13>Jul 25 12:59:20 rpmi: libGL-7:1.3.2-alt0.p9 p9+265957.240.8.1 1617618230 installed
<13>Jul 25 12:59:20 rpmi: libXinerama-1.1.4-alt1 sisyphus+223149.300.2.1 1551268216 installed
<13>Jul 25 12:59:20 rpmi: libXtst-1.2.3-alt1 p9+261891.100.2.1 1606149069 installed
<13>Jul 25 12:59:20 rpmi: libXdamage-1.1.5-alt1 sisyphus+225206.500.1.2 1552949286 installed
<13>Jul 25 12:59:20 rpmi: libXt-1.1.4-alt1 1369984722 installed
<13>Jul 25 12:59:21 rpmi: libxcb-devel-1.13.1-alt1 sisyphus+226527.100.2.2 1554593801 installed
<13>Jul 25 12:59:21 rpmi: libX11-devel-3:1.7.2-alt1 p9+273972.100.2.1 1623924397 installed
<13>Jul 25 12:59:21 rpmi: libXt-devel-1.1.4-alt1 1369984722 installed
<13>Jul 25 12:59:21 rpmi: libgraphite2-1.3.13-alt2 sisyphus+226799.100.1.1 1554648241 installed
<13>Jul 25 12:59:21 rpmi: libharfbuzz-2.6.2-alt1 p9+277458.500.1.1 1625577176 installed
<13>Jul 25 12:59:21 rpmi: libfreetype-2.10.1-alt1.1.p9.1 p9+260179.200.3.1 1603971407 installed
<13>Jul 25 12:59:21 rpmi: fontconfig-2.13.1-alt1 p9+247340.200.3.1 1583400517 installed
Updating fonts cache: <29>Jul 25 12:59:22 fontconfig: Updating fonts cache: succeeded
[ DONE ]
<13>Jul 25 12:59:22 rpmi: libcairo-1:1.16.0-alt1 sisyphus+226534.100.2.3 1554515535 installed
<13>Jul 25 12:59:22 rpmi: fonts-type1-xorg-7.0.0-alt4 1188553211 installed
<13>Jul 25 12:59:22 rpmi: libXft-2.3.3-alt1 sisyphus+225206.1000.3.2 1552987708 installed
<13>Jul 25 12:59:22 rpmi: libpango-1.44.6-alt1 p9+237353.700.2.2 1568374131 installed
<13>Jul 25 12:59:23 rpmi: libgtk+2-2.24.32-alt3 sisyphus+227306.100.1.3 1555646092 installed
<13>Jul 25 12:59:23 rpmi: libgail-2.24.32-alt3 sisyphus+227306.100.1.3 1555646092 installed
<13>Jul 25 12:59:23 rpmi: publicsuffix-list-20210419-alt1 p9+270359.100.1.1 1618926138 installed
<13>Jul 25 12:59:23 rpmi: httpcomponents-client-4.5.5-alt1_5jpp8 sisyphus+221731.100.1.1 1550391382 installed
<13>Jul 25 12:59:23 rpmi: maven-wagon-http-shared-0:3.0.0-alt1_1jpp8 1511394275 installed
<13>Jul 25 12:59:23 rpmi: maven-wagon-http-0:3.0.0-alt1_1jpp8 1511394275 installed
<13>Jul 25 12:59:23 rpmi: maven-1:3.5.3-alt1_1jpp8 1528125011 installed
<13>Jul 25 12:59:23 rpmi: maven-lib-1:3.5.3-alt1_1jpp8 1528125011 installed
<13>Jul 25 12:59:23 rpmi: maven-common-artifact-filters-3.0.1-alt1_3jpp8 1510506852 installed
<13>Jul 25 12:59:23 rpmi: maven-archiver-0:3.2.0-alt1_1jpp8 1511392070 installed
<13>Jul 25 12:59:23 rpmi: maven-filtering-3.1.1-alt1_4jpp8 1510509696 installed
<13>Jul 25 12:59:23 rpmi: maven-resources-plugin-3.1.0-alt1_1jpp8 1527822052 installed
<13>Jul 25 12:59:23 rpmi: maven-jar-plugin-3.1.0-alt1_1jpp8 1527821052 installed
<13>Jul 25 12:59:23 rpmi: maven-artifact-transfer-1:0.9.0-alt1_3jpp8 1511478032 installed
<13>Jul 25 12:59:23 rpmi: maven-artifact-resolver-1:1.0-alt3_17jpp8 1510506402 installed
<13>Jul 25 12:59:23 rpmi: maven-shared-incremental-1.1-alt1_13jpp8 1510516163 installed
<13>Jul 25 12:59:23 rpmi: xmvn-minimal-3.0.0-alt1_18jpp8 1527991448 installed
<13>Jul 25 12:59:23 rpmi: libgdbm-1.8.3-alt10 1454943334 installed
<13>Jul 25 12:59:23 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed
<13>Jul 25 12:59:23 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed
<13>Jul 25 12:59:23 rpmi: ca-certificates-2020.06.29-alt1 p9+258899.100.3.1 1601998604 installed
<13>Jul 25 12:59:23 rpmi: ca-trust-0.1.2-alt1 p9+233349.100.1.1 1561655062 installed
<13>Jul 25 12:59:23 rpmi: p11-kit-trust-0.23.15-alt2 p9+254920.2400.19.1 1601385903 installed
<13>Jul 25 12:59:23 rpmi: libcrypto1.1-1.1.1k-alt1 p9+268376.100.3.1 1616721011 installed
<13>Jul 25 12:59:23 rpmi: libssl1.1-1.1.1k-alt1 p9+268376.100.3.1 1616721011 installed
<13>Jul 25 12:59:23 rpmi: libpython3-3.7.4-alt3 p9+249932.100.2.1 1587127349 installed
<13>Jul 25 12:59:23 rpmi: python3-3.7.4-alt3 p9+249932.100.2.1 1587127349 installed
<13>Jul 25 12:59:24 rpmi: python3-base-3.7.4-alt3 p9+249932.100.2.1 1587127349 installed
<13>Jul 25 12:59:24 rpmi: python3-module-sugarbowl-0.52.1-alt1.git20141130.1.1 sisyphus+227470.1100.1.1 1555687657 installed
<13>Jul 25 12:59:24 rpmi: python3-module-six-1.12.0-alt1 sisyphus+219665.100.2.1 1548148570 installed
<13>Jul 25 12:59:24 rpmi: python3-module-markupsafe-1.1.1-alt1 p9+254838.60.14.1 1602882139 installed
<13>Jul 25 12:59:24 rpmi: python3-module-jinja2-2.11.2-alt1 p9+254838.40.14.1 1602882082 installed
<13>Jul 25 12:59:24 rpmi: python3-module-clyde-0.8.0-alt1.git20141130.2.1 sisyphus+227465.1600.1.2 1555756906 installed
<13>Jul 25 12:59:24 rpmi: python3-module-pkg_resources-1:40.8.0-alt2 sisyphus+229158.200.2.1 1557735221 installed
<13>Jul 25 12:59:24 rpmi: python3-module-runfile-0.46.1-alt1.git20141130.2.1 sisyphus+227469.1300.2.3 1555706376 installed
<13>Jul 25 12:59:24 rpmi: objectweb-asm-0:6.1.1-alt1_1jpp8 1528136365 installed
<13>Jul 25 12:59:24 rpmi: plexus-languages-0.9.3-alt2_4jpp8 1528196710 installed
<13>Jul 25 12:59:24 rpmi: maven-compiler-plugin-3.7.0-alt1_1jpp8 1527175304 installed
<13>Jul 25 12:59:24 rpmi: xmvn-install-3.0.0-alt1_18jpp8 1527991448 installed
<13>Jul 25 12:59:24 rpmi: parboiled-1.1.6-alt1_13jpp8 1524290710 installed
<13>Jul 25 12:59:24 rpmi: pegdown-1.4.2-alt1_12jpp8 1524309539 installed
<13>Jul 25 12:59:24 rpmi: antlr-tool-0:2.7.7-alt12_53jpp8 1525882426 installed
<13>Jul 25 12:59:24 rpmi: gpars-1.2.1-alt1_12jpp8 sisyphus+221710.100.1.1 1550377267 installed
<13>Jul 25 12:59:25 rpmi: groovy-lib-0:2.4.8-alt1_5jpp8 1524261040 installed
<13>Jul 25 12:59:25 rpmi: xbean-0:4.8-alt1_1jpp8 1527831195 installed
<13>Jul 25 12:59:25 rpmi: plexus-containers-container-default-0:1.7.1-alt1_6jpp8 1527990031 installed
<13>Jul 25 12:59:25 rpmi: maven-plugin-registry-1:2.2.1-alt6_56jpp8 1510505131 installed
<13>Jul 25 12:59:25 rpmi: maven-settings-1:2.2.1-alt6_56jpp8 1510505131 installed
<13>Jul 25 12:59:25 rpmi: maven-doxia-logging-api-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed
<13>Jul 25 12:59:25 rpmi: maven-doxia-sink-api-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed
<13>Jul 25 12:59:25 rpmi: maven-reporting-api-1:3.0-alt3_13jpp8 1510514759 installed
<13>Jul 25 12:59:25 rpmi: maven-plugin-annotations-0:3.5.1-alt1_1jpp8 1525824925 installed
<13>Jul 25 12:59:25 rpmi: maven-surefire-0:2.21.0-alt1_1jpp8 1527848673 installed
<13>Jul 25 12:59:25 rpmi: maven-surefire-plugin-0:2.21.0-alt1_1jpp8 1527848673 installed
<13>Jul 25 12:59:25 rpmi: maven-surefire-provider-junit-0:2.21.0-alt1_1jpp8 1527848673 installed
<13>Jul 25 12:59:25 rpmi: maven-surefire-provider-testng-0:2.21.0-alt1_1jpp8 1527848673 installed
<13>Jul 25 12:59:25 rpmi: maven-artifact-manager-1:2.2.1-alt6_56jpp8 1510505131 installed
<13>Jul 25 12:59:25 rpmi: maven-profile-1:2.2.1-alt6_56jpp8 1510505131 installed
<13>Jul 25 12:59:25 rpmi: maven-project-1:2.2.1-alt6_56jpp8 1510505131 installed
<13>Jul 25 12:59:25 rpmi: plexus-resources-0:1.0-alt7_0.23.a7jpp8 1524375878 installed
<13>Jul 25 12:59:25 rpmi: maven-remote-resources-plugin-1.5-alt1_1jpp8 1527177576 installed
<13>Jul 25 12:59:25 rpmi: plexus-i18n-0:1.0-alt7_0.11.b10.4jpp8 1524312824 installed
<13>Jul 25 12:59:25 rpmi: plexus-velocity-0:1.2-alt1_4jpp8 1524376629 installed
<13>Jul 25 12:59:25 rpmi: xml-commons-resolver-0:1.2-alt1_24jpp8 1525932051 installed
<13>Jul 25 12:59:25 rpmi: xalan-j2-0:2.7.1-alt4_34jpp8 1525931290 installed
<13>Jul 25 12:59:25 rpmi: xerces-j2-0:2.11.0-alt3_31jpp8 1524211519 installed
<13>Jul 25 12:59:25 rpmi: batik-css-0:1.10-alt1_2jpp8 sisyphus+220497.100.1.2 1549284940 installed
<13>Jul 25 12:59:25 rpmi: batik-0:1.10-alt1_2jpp8 sisyphus+220497.100.1.2 1549284940 installed
<13>Jul 25 12:59:25 rpmi: xmlunit-0:1.6-alt1_7jpp8 1525933352 installed
<13>Jul 25 12:59:25 rpmi: maven-doxia-core-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed
<13>Jul 25 12:59:25 rpmi: maven-doxia-module-xhtml-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed
<13>Jul 25 12:59:25 rpmi: maven-doxia-module-markdown-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed
<13>Jul 25 12:59:25 rpmi: maven-doxia-module-apt-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed
<13>Jul 25 12:59:25 rpmi: maven-doxia-module-fml-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed
<13>Jul 25 12:59:25 rpmi: maven-doxia-module-xdoc-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed
<13>Jul 25 12:59:25 rpmi: xmvn-subst-3.0.0-alt1_18jpp8 1527991448 installed
<13>Jul 25 12:59:25 rpmi: xmvn-resolve-3.0.0-alt1_18jpp8 1527991448 installed
<13>Jul 25 12:59:25 rpmi: python3-module-genshi-0.7-alt2 sisyphus+229363.100.1.1 1557847335 installed
<13>Jul 25 12:59:25 rpmi: python3-module-webencodings-0.5.1-alt1.1 1517943573 installed
<13>Jul 25 12:59:25 rpmi: python3-module-cssselect-0.9.1-alt1.2 sisyphus+227479.1100.1.2 1555757152 installed
<13>Jul 25 12:59:25 rpmi: python3-module-html5lib-1:0.999999999-alt4.qa1 sisyphus+227493.600.1.3 1555835341 installed
<13>Jul 25 12:59:26 rpmi: python3-module-lxml-4.4.2-alt1 p9+244111.100.1.1 1578758819 installed
<13>Jul 25 12:59:26 rpmi: python3-module-javapackages-1:5.0.0-alt1_12jpp8.M90P.1 p9+263388.100.2.1 1608141549 installed
<13>Jul 25 12:59:26 rpmi: javapackages-local-1:5.0.0-alt1_12jpp8.M90P.1 p9+263388.100.2.1 1608141549 installed
<13>Jul 25 12:59:26 rpmi: rpm-build-java-1:5.0.0-alt1_12jpp8.M90P.1 p9+263388.100.2.1 1608141549 installed
<13>Jul 25 12:59:26 rpmi: ca-trust-java-0.1.2-alt1 p9+233349.100.1.1 1561655062 installed
<13>Jul 25 12:59:26 rpmi: libnss-3.56.0-alt1 p9+254920.30.20.1 1601657872 installed
<13>Jul 25 12:59:28 rpmi: java-1.8.0-openjdk-headless-0:1.8.0.212.b04-alt2_0jpp8 p9+234508.100.3.1 1563175746 installed
<13>Jul 25 12:59:29 rpmi: java-stub-javadoc-0.1-alt1 1229813340 installed
<13>Jul 25 12:59:29 rpmi: alsa-ucm-conf-1.2.4-alt1 p9+250722.2300.14.1 1614269485 installed
<13>Jul 25 12:59:29 rpmi: alsa-topology-conf-1.2.4-alt1 p9+250722.2200.14.1 1614269467 installed
<13>Jul 25 12:59:29 rpmi: libalsa-1:1.2.4-alt1 p9+250722.2400.14.1 1614269556 installed
<13>Jul 25 12:59:29 rpmi: java-1.8.0-openjdk-0:1.8.0.212.b04-alt2_0jpp8 p9+234508.100.3.1 1563175746 installed
<13>Jul 25 12:59:29 rpmi: fop-0:2.0-alt1_9jpp8 1524189893 installed
<13>Jul 25 12:59:29 rpmi: maven-doxia-module-fo-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed
<13>Jul 25 12:59:29 rpmi: maven-doxia-sitetools-0:1.7.5-alt1_1jpp8 1511392380 installed
<13>Jul 25 12:59:29 rpmi: maven-javadoc-plugin-3.0.0-alt1_4jpp8 1527985821 installed
<13>Jul 25 12:59:29 rpmi: maven-reporting-impl-3.0.0-alt1_1jpp8 1511427039 installed
<13>Jul 25 12:59:30 rpmi: java-1.8.0-openjdk-devel-0:1.8.0.212.b04-alt2_0jpp8 p9+234508.100.3.1 1563175746 installed
<13>Jul 25 12:59:30 rpmi: jpackage-generic-compat-0.29-alt1 1523537205 installed
<13>Jul 25 12:59:30 rpmi: maven-plugin-bundle-3.5.0-alt1_1jpp8 1525822813 installed
<13>Jul 25 12:59:30 rpmi: maven-local-1:5.0.0-alt1_12jpp8.M90P.1 p9+263388.100.2.1 1608141549 installed
<13>Jul 25 12:59:30 rpmi: apache-parent-19-alt1_2jpp8 1526646342 installed
<13>Jul 25 12:59:30 rpmi: uimaj-2.8.1-alt1_7jpp8 1525928986 installed
<13>Jul 25 12:59:30 rpmi: jwnl-1.4-alt1_0.5.rc3jpp8 1524410462 installed
<13>Jul 25 12:59:30 rpmi: felix-osgi-compendium-1.4.0-alt5_27jpp8 sisyphus+220996.100.1.2 1549719898 installed
Building target platforms: i586
Building for target i586
Wrote: /usr/src/in/nosrpm/opennlp-1.5.3-alt1_6jpp8.nosrc.rpm (w1.gzdio)
Installing opennlp-1.5.3-alt1_6jpp8.src.rpm
Building target platforms: i586
Building for target i586
Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.78037
+ umask 022
+ /bin/mkdir -p /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ rm -rf apache-opennlp-1.5.3-src
+ echo 'Source #0 (apache-opennlp-1.5.3-src.tar.gz):'
Source #0 (apache-opennlp-1.5.3-src.tar.gz):
+ /bin/gzip -dc /usr/src/RPM/SOURCES/apache-opennlp-1.5.3-src.tar.gz
+ /bin/tar -xf -
+ cd apache-opennlp-1.5.3-src
+ /bin/chmod -c -Rf u+rwX,go-w .
+ find . -name '*.jar' -print -delete
+ find . -name '*.bat' -print -delete
./opennlp-distr/src/main/bin/opennlp.bat
./opennlp-tools/bin/opennlp.bat
+ find . -name '*.class' -print -delete
+ /usr/bin/python3 /usr/share/java-utils/pom_editor.py pom_remove_plugin -r :apache-rat-plugin opennlp
/usr/share/java-utils/pom_editor.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
(arglist, _, _, defaults) = inspect.getargspec(function)
+ /usr/bin/python3 /usr/share/java-utils/pom_editor.py pom_remove_plugin -r :maven-dependency-plugin opennlp
/usr/share/java-utils/pom_editor.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
(arglist, _, _, defaults) = inspect.getargspec(function)
+ /usr/bin/python3 /usr/share/java-utils/pom_editor.py pom_remove_plugin -r :maven-eclipse-plugin opennlp
/usr/share/java-utils/pom_editor.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
(arglist, _, _, defaults) = inspect.getargspec(function)
+ /usr/bin/python3 /usr/share/java-utils/pom_editor.py pom_remove_plugin -r :maven-source-plugin opennlp
/usr/share/java-utils/pom_editor.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
(arglist, _, _, defaults) = inspect.getargspec(function)
+ /usr/bin/python3 /usr/share/java-utils/pom_editor.py pom_remove_plugin -r :maven-javadoc-plugin opennlp
/usr/share/java-utils/pom_editor.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
(arglist, _, _, defaults) = inspect.getargspec(function)
+ /usr/bin/python3 /usr/share/java-utils/pom_editor.py pom_xpath_set -r pom:addClasspath false opennlp
/usr/share/java-utils/pom_editor.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
(arglist, _, _, defaults) = inspect.getargspec(function)
+ /usr/bin/python3 /usr/share/java-utils/pom_editor.py pom_disable_module ../opennlp-distr opennlp
/usr/share/java-utils/pom_editor.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
(arglist, _, _, defaults) = inspect.getargspec(function)
+ /usr/bin/python3 /usr/share/java-utils/pom_editor.py pom_disable_module ../opennlp-docs opennlp
/usr/share/java-utils/pom_editor.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
(arglist, _, _, defaults) = inspect.getargspec(function)
+ for p in maxent tools
+ /usr/bin/python3 /usr/share/java-utils/pom_editor.py pom_xpath_inject 'pom:dependency[pom:artifactId='\''junit'\'']' 'test' opennlp-maxent
/usr/share/java-utils/pom_editor.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
(arglist, _, _, defaults) = inspect.getargspec(function)
+ for p in maxent tools
+ /usr/bin/python3 /usr/share/java-utils/pom_editor.py pom_xpath_inject 'pom:dependency[pom:artifactId='\''junit'\'']' 'test' opennlp-tools
/usr/share/java-utils/pom_editor.py:203: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
(arglist, _, _, defaults) = inspect.getargspec(function)
+ rm -r opennlp-maxent/src/test/java/opennlp/perceptron/PerceptronPrepAttachTest.java opennlp-maxent/src/test/java/opennlp/maxent/quasinewton/QNTrainerTest.java opennlp-maxent/src/test/java/opennlp/PrepAttachDataUtil.java opennlp-maxent/src/test/java/opennlp/maxent/MaxentPrepAttachTest.java
+ exit 0
Executing(%build): /bin/sh -e /usr/src/tmp/rpm-tmp.84437
+ umask 022
+ /bin/mkdir -p /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ cd apache-opennlp-1.5.3-src
+ /usr/bin/python3 /usr/share/java-utils/mvn_build.py -s -- -f opennlp/pom.xml
Executing: xmvn --batch-mode --offline -f opennlp/pom.xml verify org.fedoraproject.xmvn:xmvn-mojo:install org.apache.maven.plugins:maven-javadoc-plugin:aggregate org.fedoraproject.xmvn:xmvn-mojo:builddep
['xmvn', '--batch-mode', '--offline', '-f', 'opennlp/pom.xml', 'verify', 'org.fedoraproject.xmvn:xmvn-mojo:install', 'org.apache.maven.plugins:maven-javadoc-plugin:aggregate', 'org.fedoraproject.xmvn:xmvn-mojo:builddep']
[INFO] Scanning for projects...
[WARNING] The project org.apache.opennlp:opennlp:pom:1.5.3 uses prerequisites which is only intended for maven-plugin projects but not for non maven-plugin projects. For such purposes you should use the maven-enforcer-plugin. See https://maven.apache.org/enforcer/enforcer-rules/requireMavenVersion.html
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Build Order:
[INFO]
[INFO] Apache OpenNLP Reactor [pom]
[INFO] Apache OpenNLP Maxent [bundle]
[INFO] Apache OpenNLP Tools [bundle]
[INFO] Apache OpenNLP UIMA Annotators [jar]
[INFO]
[INFO] ---------------------< org.apache.opennlp:opennlp >---------------------
[INFO] Building Apache OpenNLP Reactor 1.5.3 [1/4]
[INFO] --------------------------------[ pom ]---------------------------------
[INFO]
[INFO] --- maven-remote-resources-plugin:1.5:process (process-resource-bundles) @ opennlp ---
[INFO]
[INFO] -----------------< org.apache.opennlp:opennlp-maxent >------------------
[INFO] Building Apache OpenNLP Maxent 3.0.3 [2/4]
[INFO] -------------------------------[ bundle ]-------------------------------
[INFO]
[INFO] --- maven-remote-resources-plugin:1.5:process (process-resource-bundles) @ opennlp-maxent ---
[INFO]
[INFO] --- maven-resources-plugin:3.1.0:resources (default-resources) @ opennlp-maxent ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] skip non existing resourceDirectory /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-maxent/src/main/resources
[INFO] Copying 5 resources
[INFO]
[INFO] --- maven-compiler-plugin:3.7.0:compile (default-compile) @ opennlp-maxent ---
[INFO] Changes detected - recompiling the module!
[INFO] Compiling 96 source files to /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-maxent/target/classes
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-maxent/src/main/java/opennlp/perceptron/PerceptronModelWriter.java:[50,66] unchecked cast
required: opennlp.model.IndexHashTable
found: java.lang.Object
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-maxent/src/main/java/opennlp/maxent/io/GISModelWriter.java:[50,64] unchecked cast
required: opennlp.model.IndexHashTable
found: java.lang.Object
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-maxent/src/main/java/opennlp/model/OnePassRealValueDataIndexer.java:[72,18] index(java.util.LinkedList,java.util.Map) in opennlp.model.OnePassRealValueDataIndexer overrides index(java.util.LinkedList,java.util.Map) in opennlp.model.OnePassDataIndexer
return type requires unchecked conversion from java.util.List to java.util.List
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-maxent/src/main/java/opennlp/perceptron/SimplePerceptronSequenceTrainer.java:[188,41] unchecked conversion
required: java.util.Map[]
found: java.util.Map[]
[INFO]
[INFO] --- maven-resources-plugin:3.1.0:testResources (default-testResources) @ opennlp-maxent ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] Copying 9 resources
[INFO] Copying 5 resources
[INFO]
[INFO] --- maven-compiler-plugin:3.7.0:testCompile (default-testCompile) @ opennlp-maxent ---
[INFO] Changes detected - recompiling the module!
[INFO] Compiling 8 source files to /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-maxent/target/test-classes
[INFO]
[INFO] --- maven-surefire-plugin:2.21.0:test (default-test) @ opennlp-maxent ---
[INFO]
[INFO] -------------------------------------------------------
[INFO] T E S T S
[INFO] -------------------------------------------------------
[INFO] Running opennlp.model.IndexHashTableTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.009 s - in opennlp.model.IndexHashTableTest
[INFO] Running opennlp.maxent.ScaleDoesntMatterTest
Indexing events using cutoff of 0
Computing event counts... done. 2 events
Indexing... done.
Sorting and merging events... done. Reduced 2 events to 2.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 2
Number of Outcomes: 2
Number of Predicates: 2
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-1.3862943611198906 0.5
2: ... loglikelihood=-1.3522552495335414 0.5
3: ... loglikelihood=-1.3383838803620116 0.5
4: ... loglikelihood=-1.3249111813035532 0.5
5: ... loglikelihood=-1.311626552573212 0.5
6: ... loglikelihood=-1.298526785269906 0.5
7: ... loglikelihood=-1.2856094817517683 0.5
8: ... loglikelihood=-1.2728720967529354 0.5
9: ... loglikelihood=-1.260312083117591 0.5
10: ... loglikelihood=-1.24792691120075 0.5
11: ... loglikelihood=-1.2357140717248507 0.5
12: ... loglikelihood=-1.2236710767617118 0.5
13: ... loglikelihood=-1.211795460460872 0.5
14: ... loglikelihood=-1.200084779702661 0.5
15: ... loglikelihood=-1.188536614697179 0.5
16: ... loglikelihood=-1.177148569533153 0.5
17: ... loglikelihood=-1.1659182726787465 0.5
18: ... loglikelihood=-1.1548433774361535 1.0
19: ... loglikelihood=-1.1439215623517835 1.0
20: ... loglikelihood=-1.133150531583821 1.0
21: ... loglikelihood=-1.1225280152289074 1.0
22: ... loglikelihood=-1.1120517696096832 1.0
23: ... loglikelihood=-1.1017195775248814 1.0
24: ... loglikelihood=-1.0915292484636485 1.0
25: ... loglikelihood=-1.0814786187857193 1.0
26: ... loglikelihood=-1.071565551869048 1.0
27: ... loglikelihood=-1.0617879382264572 1.0
28: ... loglikelihood=-1.0521436955928227 1.0
29: ... loglikelihood=-1.042630768984282 1.0
30: ... loglikelihood=-1.0332471307309017 1.0
31: ... loglikelihood=-1.023990780484213 1.0
32: ... loglikelihood=-1.014859745200963 1.0
33: ... loglikelihood=-1.0058520791044059 1.0
34: ... loglikelihood=-0.9969658636244096 1.0
35: ... loglikelihood=-0.9881992073175994 1.0
36: ... loglikelihood=-0.9795502457687386 1.0
37: ... loglikelihood=-0.9710171414744896 1.0
38: ... loglikelihood=-0.9625980837106579 1.0
39: ... loglikelihood=-0.9542912883839875 1.0
40: ... loglikelihood=-0.946094997869531 1.0
41: ... loglikelihood=-0.9380074808345755 1.0
42: ... loglikelihood=-0.930027032050069 1.0
43: ... loglikelihood=-0.922151972190455 1.0
44: ... loglikelihood=-0.9143806476227769 1.0
45: ... loglikelihood=-0.9067114301858874 1.0
46: ... loglikelihood=-0.8991427169605555 1.0
47: ... loglikelihood=-0.8916729300312247 1.0
48: ... loglikelihood=-0.8843005162401528 1.0
49: ... loglikelihood=-0.8770239469346193 1.0
50: ... loglikelihood=-0.869841717707857 1.0
51: ... loglikelihood=-0.8627523481343374 1.0
52: ... loglikelihood=-0.8557543815000007 1.0
53: ... loglikelihood=-0.8488463845280003 1.0
54: ... loglikelihood=-0.8420269471004932 1.0
55: ... loglikelihood=-0.8352946819769891 1.0
56: ... loglikelihood=-0.8286482245097413 1.0
57: ... loglikelihood=-0.822086232356629 1.0
58: ... loglikelihood=-0.8156073851919701 1.0
59: ... loglikelihood=-0.8092103844156696 1.0
60: ... loglikelihood=-0.802893952861081 1.0
61: ... loglikelihood=-0.7966568345019583 1.0
62: ... loglikelihood=-0.7904977941588187 1.0
63: ... loglikelihood=-0.784415617205058 1.0
64: ... loglikelihood=-0.7784091092731049 1.0
65: ... loglikelihood=-0.7724770959608986 1.0
66: ... loglikelihood=-0.7666184225389627 1.0
67: ... loglikelihood=-0.7608319536583115 1.0
68: ... loglikelihood=-0.7551165730594265 1.0
69: ... loglikelihood=-0.749471183282516 1.0
70: ... loglikelihood=-0.7438947053792583 1.0
71: ... loglikelihood=-0.7383860786262142 1.0
72: ... loglikelihood=-0.7329442602400831 1.0
73: ... loglikelihood=-0.7275682250949573 1.0
74: ... loglikelihood=-0.7222569654417307 1.0
75: ... loglikelihood=-0.7170094906297869 1.0
76: ... loglikelihood=-0.7118248268310996 1.0
77: ... loglikelihood=-0.706702016766856 1.0
78: ... loglikelihood=-0.7016401194367039 1.0
79: ... loglikelihood=-0.6966382098507262 1.0
80: ... loglikelihood=-0.6916953787642185 1.0
81: ... loglikelihood=-0.6868107324153503 1.0
82: ... loglikelihood=-0.6819833922657829 1.0
83: ... loglikelihood=-0.6772124947442997 1.0
84: ... loglikelihood=-0.672497190993506 1.0
85: ... loglikelihood=-0.6678366466196433 1.0
86: ... loglikelihood=-0.6632300414455656 1.0
87: ... loglikelihood=-0.6586765692669025 1.0
88: ... loglikelihood=-0.6541754376114499 1.0
89: ... loglikelihood=-0.6497258675018014 1.0
90: ... loglikelihood=-0.6453270932212499 1.0
91: ... loglikelihood=-0.6409783620829645 1.0
92: ... loglikelihood=-0.63667893420246 1.0
93: ... loglikelihood=-0.6324280822733611 1.0
94: ... loglikelihood=-0.6282250913464634 1.0
95: ... loglikelihood=-0.6240692586120913 1.0
96: ... loglikelihood=-0.6199598931857471 1.0
97: ... loglikelihood=-0.6158963158970423 1.0
98: ... loglikelihood=-0.6118778590819023 1.0
99: ... loglikelihood=-0.6079038663780304 1.0
100: ... loglikelihood=-0.6039736925236096 1.0
smallResults: A[0.9975] B[0.0025]
Indexing events using cutoff of 0
Computing event counts... done. 2 events
Indexing... done.
Sorting and merging events... done. Reduced 2 events to 2.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 2
Number of Outcomes: 2
Number of Predicates: 2
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-1.3862943611198906 0.5
2: ... loglikelihood=-1.3522552538118795 0.5
3: ... loglikelihood=-1.3383838862262882 0.5
4: ... loglikelihood=-1.3249111887314906 0.5
5: ... loglikelihood=-1.3116265615212965 0.5
6: ... loglikelihood=-1.2985267956946625 0.5
7: ... loglikelihood=-1.2856094936106377 0.5
8: ... loglikelihood=-1.272872110004276 0.5
9: ... loglikelihood=-1.2603120977206657 0.5
10: ... loglikelihood=-1.2479269271157154 0.5
11: ... loglikelihood=-1.235714088912748 0.5
12: ... loglikelihood=-1.223671095184454 0.5
13: ... loglikelihood=-1.2117954800812356 0.5
14: ... loglikelihood=-1.2000848004842728 0.5
15: ... loglikelihood=-1.1885366366045034 0.5
16: ... loglikelihood=-1.1771485925314833 0.5
17: ... loglikelihood=-1.1659182967341901 0.5
18: ... loglikelihood=-1.1548434025156196 1.0
19: ... loglikelihood=-1.143921588422971 1.0
20: ... loglikelihood=-1.1331505586152055 1.0
21: ... loglikelihood=-1.1225280431897282 1.0
22: ... loglikelihood=-1.1120517984699303 1.0
23: ... loglikelihood=-1.101719607255283 1.0
24: ... loglikelihood=-1.0915292790356568 1.0
25: ... loglikelihood=-1.081478650171497 1.0
26: ... loglikelihood=-1.0715655840414566 1.0
27: ... loglikelihood=-1.0617879711590423 1.0
28: ... loglikelihood=-1.052143729259801 1.0
29: ... loglikelihood=-1.0426308033605296 1.0
30: ... loglikelihood=-1.0332471657919389 1.0
31: ... loglikelihood=-1.023990816206192 1.0
32: ... loglikelihood=-1.0148597815606544 1.0
33: ... loglikelihood=-1.005852116079188 1.0
34: ... loglikelihood=-0.9969659011922523 1.0
35: ... loglikelihood=-0.9881992454570543 1.0
36: ... loglikelihood=-0.9795502844589252 1.0
37: ... loglikelihood=-0.9710171806950822 1.0
38: ... loglikelihood=-0.9625981234418739 1.0
39: ... loglikelihood=-0.9542913286065764 1.0
40: ... loglikelihood=-0.9460950385647606 1.0
41: ... loglikelihood=-0.9380075219842214 1.0
42: ... loglikelihood=-0.9300270736364022 1.0
43: ... loglikelihood=-0.9221520141962303 1.0
44: ... loglikelihood=-0.9143806900312217 1.0
45: ... loglikelihood=-0.9067114729806914 1.0
46: ... loglikelihood=-0.8991427601258583 1.0
47: ... loglikelihood=-0.8916729735516058 1.0
48: ... loglikelihood=-0.8843005601006213 1.0
49: ... loglikelihood=-0.8770239911206028 1.0
50: ... loglikelihood=-0.8698417622051915 1.0
51: ... loglikelihood=-0.8627523929292579 1.0
52: ... loglikelihood=-0.8557544265791301 1.0
53: ... loglikelihood=-0.8488464298783409 1.0
54: ... loglikelihood=-0.8420269927094168 1.0
55: ... loglikelihood=-0.8352947278322275 1.0
56: ... loglikelihood=-0.828648270599377 1.0
57: ... loglikelihood=-0.822086278669087 1.0
58: ... loglikelihood=-0.8156074317160096 1.0
59: ... loglikelihood=-0.8092104311403729 1.0
60: ... loglikelihood=-0.8028939997758491 1.0
61: ... loglikelihood=-0.7966568815964978 1.0
62: ... loglikelihood=-0.7904978414231391 1.0
63: ... loglikelihood=-0.7844156646294599 1.0
64: ... loglikelihood=-0.7784091568481737 1.0
65: ... loglikelihood=-0.7724771436774975 1.0
66: ... loglikelihood=-0.7666184703882245 1.0
67: ... loglikelihood=-0.7608320016316317 1.0
68: ... loglikelihood=-0.7551166211484575 1.0
69: ... loglikelihood=-0.7494712314791581 1.0
70: ... loglikelihood=-0.7438947536756552 1.0
71: ... loglikelihood=-0.7383861270147452 1.0
72: ... loglikelihood=-0.7329443087133568 1.0
73: ... loglikelihood=-0.7275682736458062 1.0
74: ... loglikelihood=-0.7222570140632043 1.0
75: ... loglikelihood=-0.7170095393151464 1.0
76: ... loglikelihood=-0.7118248755738121 1.0
77: ... loglikelihood=-0.7067020655605885 1.0
78: ... loglikelihood=-0.7016401682753186 1.0
79: ... loglikelihood=-0.6966382587282747 1.0
80: ... loglikelihood=-0.6916954276749361 1.0
81: ... loglikelihood=-0.6868107813536517 1.0
82: ... loglikelihood=-0.6819834412262574 1.0
83: ... loglikelihood=-0.6772125437217056 1.0
84: ... loglikelihood=-0.6724972399827664 1.0
85: ... loglikelihood=-0.6678366956158426 1.0
86: ... loglikelihood=-0.6632300904439428 1.0
87: ... loglikelihood=-0.6586766182628484 1.0
88: ... loglikelihood=-0.6541754866005025 1.0
89: ... loglikelihood=-0.6497259164796423 1.0
90: ... loglikelihood=-0.645327142183699 1.0
91: ... loglikelihood=-0.6409784110259779 1.0
92: ... loglikelihood=-0.6366789831221253 1.0
93: ... loglikelihood=-0.6324281311658935 1.0
94: ... loglikelihood=-0.6282251402082023 1.0
95: ... loglikelihood=-0.6240693074394967 1.0
96: ... loglikelihood=-0.6199599419753965 1.0
97: ... loglikelihood=-0.6158963646456272 1.0
98: ... loglikelihood=-0.6118779077862262 1.0
99: ... loglikelihood=-0.6079039150350025 1.0
100: ... loglikelihood=-0.6039737411302459 1.0
largeResults: A[0.9975] B[0.0025]
classifiy with smallModel: A = 0.997511
classifiy with largeModel: A = 0.997511
classifiy with smallModel: B = 0.002489
classifiy with largeModel: B = 0.002489
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.139 s - in opennlp.maxent.ScaleDoesntMatterTest
[INFO] Running opennlp.maxent.RealValueModelTest
Indexing events using cutoff of 1
Computing event counts... done. 20 events
Indexing... done.
Sorting and merging events... done. Reduced 20 events to 19.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 19
Number of Outcomes: 2
Number of Predicates: 5
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-13.862943611198906 0.5
2: ... loglikelihood=-11.307309919212766 0.75
3: ... loglikelihood=-10.216071360478304 0.75
4: ... loglikelihood=-9.583679399292347 0.75
5: ... loglikelihood=-9.150582100857564 0.75
6: ... loglikelihood=-8.82721276407955 0.75
7: ... loglikelihood=-8.57342045966811 0.75
8: ... loglikelihood=-8.367515838739505 0.75
9: ... loglikelihood=-8.196278879549471 0.75
10: ... loglikelihood=-8.05100749947712 0.75
11: ... loglikelihood=-7.925675920517762 0.75
12: ... loglikelihood=-7.815961858392237 0.75
13: ... loglikelihood=-7.718683136213053 0.75
14: ... loglikelihood=-7.63144885608518 0.7
15: ... loglikelihood=-7.552432568010543 0.7
16: ... loglikelihood=-7.480219244031507 0.7
17: ... loglikelihood=-7.413699065356335 0.7
18: ... loglikelihood=-7.351992009191886 0.7
19: ... loglikelihood=-7.294393295100555 0.7
20: ... loglikelihood=-7.240333294328957 0.7
21: ... loglikelihood=-7.189347664502531 0.7
22: ... loglikelihood=-7.1410548344122295 0.7
23: ... loglikelihood=-7.095138848442515 0.7
24: ... loglikelihood=-7.051336168872939 0.7
25: ... loglikelihood=-7.009425434012974 0.7
26: ... loglikelihood=-6.96921944636208 0.7
27: ... loglikelihood=-6.930558858832453 0.7
28: ... loglikelihood=-6.893307164966803 0.7
29: ... loglikelihood=-6.857346698382256 0.7
30: ... loglikelihood=-6.822575418972094 0.7
31: ... loglikelihood=-6.788904316574867 0.75
32: ... loglikelihood=-6.756255302298204 0.75
33: ... loglikelihood=-6.724559487245589 0.75
34: ... loglikelihood=-6.693755770706854 0.75
35: ... loglikelihood=-6.6637896768410565 0.75
36: ... loglikelihood=-6.634612391874505 0.75
37: ... loglikelihood=-6.606179963852864 0.75
38: ... loglikelihood=-6.578452634755335 0.85
39: ... loglikelihood=-6.55139428083968 0.85
40: ... loglikelihood=-6.524971941841566 0.85
41: ... loglikelihood=-6.4991554234008735 0.85
42: ... loglikelihood=-6.473916960058714 0.85
43: ... loglikelihood=-6.4492309285344644 0.85
44: ... loglikelihood=-6.425073602883718 0.85
45: ... loglikelihood=-6.401422944657338 0.85
46: ... loglikelihood=-6.37825842240671 0.85
47: ... loglikelihood=-6.355560855871754 0.85
48: ... loglikelihood=-6.333312280993622 0.85
49: ... loglikelihood=-6.311495832550698 0.85
50: ... loglikelihood=-6.290095641753276 0.85
51: ... loglikelihood=-6.269096746573055 0.85
52: ... loglikelihood=-6.248485012946057 0.85
53: ... loglikelihood=-6.228247065286899 0.85
54: ... loglikelihood=-6.208370224999975 0.85
55: ... loglikelihood=-6.188842455878764 0.85
56: ... loglikelihood=-6.16965231545546 0.85
57: ... loglikelihood=-6.150788911505828 0.85
58: ... loglikelihood=-6.132241863033508 0.85
59: ... loglikelihood=-6.114001265158018 0.85
60: ... loglikelihood=-6.096057657414654 0.85
61: ... loglikelihood=-6.078401995045382 0.85
62: ... loglikelihood=-6.061025622919286 0.85
63: ... loglikelihood=-6.043920251771865 0.85
64: ... loglikelihood=-6.0270779364950995 0.85
65: ... loglikelihood=-6.010491056246582 0.9
66: ... loglikelihood=-5.994152296176948 0.9
67: ... loglikelihood=-5.978054630601208 0.9
68: ... loglikelihood=-5.962191307462082 0.9
69: ... loglikelihood=-5.946555833952775 0.9
70: ... loglikelihood=-5.931141963183117 0.9
71: ... loglikelihood=-5.915943681787326 0.9
72: ... loglikelihood=-5.900955198383772 0.9
73: ... loglikelihood=-5.8861709328078495 0.9
74: ... loglikelihood=-5.871585506048058 0.9
75: ... loglikelihood=-5.857193730823496 0.9
76: ... loglikelihood=-5.84299060274771 0.9
77: ... loglikelihood=-5.828971292029962 0.9
78: ... loglikelihood=-5.815131135670074 0.9
79: ... loglikelihood=-5.801465630107762 0.9
80: ... loglikelihood=-5.787970424291211 0.9
81: ... loglikelihood=-5.77464131313324 0.9
82: ... loglikelihood=-5.761474231326509 0.9
83: ... loglikelihood=-5.748465247491923 0.9
84: ... loglikelihood=-5.735610558636812 0.9
85: ... loglikelihood=-5.722906484901581 0.9
86: ... loglikelihood=-5.7103494645755095 0.9
87: ... loglikelihood=-5.69793604936391 0.9
88: ... loglikelihood=-5.685662899890548 0.9
89: ... loglikelihood=-5.673526781420426 0.9
90: ... loglikelihood=-5.661524559789309 0.9
91: ... loglikelihood=-5.6496531975274715 0.9
92: ... loglikelihood=-5.637909750166044 0.9
93: ... loglikelihood=-5.626291362715309 0.9
94: ... loglikelihood=-5.614795266305039 0.9
95: ... loglikelihood=-5.603418774977697 0.9
96: ... loglikelihood=-5.592159282625965 0.9
97: ... loglikelihood=-5.5810142600667145 0.9
98: ... loglikelihood=-5.569981252244019 0.9
99: ... loglikelihood=-5.559057875554311 0.9
100: ... loglikelihood=-5.548241815287285 0.9
Indexing events using cutoff of 1
Computing event counts... done. 20 events
Indexing... done.
Sorting and merging events... done. Reduced 20 events to 19.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 19
Number of Outcomes: 2
Number of Predicates: 5
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-13.862943611198906 0.5
2: ... loglikelihood=-11.307309919212761 0.75
3: ... loglikelihood=-10.216071360478306 0.75
4: ... loglikelihood=-9.583679399292347 0.75
5: ... loglikelihood=-9.150582100857566 0.75
6: ... loglikelihood=-8.82721276407955 0.75
7: ... loglikelihood=-8.57342045966811 0.75
8: ... loglikelihood=-8.367515838739505 0.75
9: ... loglikelihood=-8.19627887954947 0.75
10: ... loglikelihood=-8.051007499477121 0.75
11: ... loglikelihood=-7.925675920517762 0.75
12: ... loglikelihood=-7.815961858392236 0.75
13: ... loglikelihood=-7.718683136213053 0.75
14: ... loglikelihood=-7.631448856085182 0.7
15: ... loglikelihood=-7.55243256801054 0.7
16: ... loglikelihood=-7.480219244031509 0.7
17: ... loglikelihood=-7.413699065356334 0.7
18: ... loglikelihood=-7.351992009191885 0.7
19: ... loglikelihood=-7.294393295100555 0.7
20: ... loglikelihood=-7.2403332943289564 0.7
21: ... loglikelihood=-7.189347664502529 0.7
22: ... loglikelihood=-7.1410548344122295 0.7
23: ... loglikelihood=-7.095138848442513 0.7
24: ... loglikelihood=-7.051336168872938 0.7
25: ... loglikelihood=-7.009425434012974 0.7
26: ... loglikelihood=-6.969219446362079 0.7
27: ... loglikelihood=-6.930558858832449 0.7
28: ... loglikelihood=-6.893307164966804 0.7
29: ... loglikelihood=-6.857346698382255 0.7
30: ... loglikelihood=-6.822575418972094 0.7
31: ... loglikelihood=-6.78890431657487 0.75
32: ... loglikelihood=-6.756255302298203 0.75
33: ... loglikelihood=-6.724559487245588 0.75
34: ... loglikelihood=-6.693755770706854 0.75
35: ... loglikelihood=-6.663789676841058 0.75
36: ... loglikelihood=-6.6346123918745015 0.75
37: ... loglikelihood=-6.606179963852864 0.75
38: ... loglikelihood=-6.578452634755335 0.85
39: ... loglikelihood=-6.551394280839681 0.85
40: ... loglikelihood=-6.524971941841568 0.85
41: ... loglikelihood=-6.4991554234008735 0.85
42: ... loglikelihood=-6.473916960058712 0.85
43: ... loglikelihood=-6.449230928534465 0.85
44: ... loglikelihood=-6.425073602883718 0.85
45: ... loglikelihood=-6.401422944657338 0.85
46: ... loglikelihood=-6.378258422406709 0.85
47: ... loglikelihood=-6.355560855871752 0.85
48: ... loglikelihood=-6.333312280993621 0.85
49: ... loglikelihood=-6.3114958325506985 0.85
50: ... loglikelihood=-6.290095641753275 0.85
51: ... loglikelihood=-6.2690967465730525 0.85
52: ... loglikelihood=-6.248485012946059 0.85
53: ... loglikelihood=-6.2282470652869 0.85
54: ... loglikelihood=-6.208370224999973 0.85
55: ... loglikelihood=-6.1888424558787625 0.85
56: ... loglikelihood=-6.169652315455462 0.85
57: ... loglikelihood=-6.1507889115058285 0.85
58: ... loglikelihood=-6.1322418630335065 0.85
59: ... loglikelihood=-6.114001265158017 0.85
60: ... loglikelihood=-6.096057657414654 0.85
61: ... loglikelihood=-6.0784019950453825 0.85
62: ... loglikelihood=-6.061025622919284 0.85
63: ... loglikelihood=-6.043920251771865 0.85
64: ... loglikelihood=-6.0270779364951 0.85
65: ... loglikelihood=-6.0104910562465825 0.9
66: ... loglikelihood=-5.9941522961769484 0.9
67: ... loglikelihood=-5.978054630601206 0.9
68: ... loglikelihood=-5.962191307462082 0.9
69: ... loglikelihood=-5.946555833952774 0.9
70: ... loglikelihood=-5.931141963183115 0.9
71: ... loglikelihood=-5.915943681787324 0.9
72: ... loglikelihood=-5.900955198383771 0.9
73: ... loglikelihood=-5.886170932807848 0.9
74: ... loglikelihood=-5.871585506048057 0.9
75: ... loglikelihood=-5.857193730823496 0.9
76: ... loglikelihood=-5.8429906027477125 0.9
77: ... loglikelihood=-5.828971292029961 0.9
78: ... loglikelihood=-5.8151311356700734 0.9
79: ... loglikelihood=-5.801465630107762 0.9
80: ... loglikelihood=-5.787970424291212 0.9
81: ... loglikelihood=-5.774641313133239 0.9
82: ... loglikelihood=-5.761474231326508 0.9
83: ... loglikelihood=-5.748465247491926 0.9
84: ... loglikelihood=-5.735610558636813 0.9
85: ... loglikelihood=-5.7229064849015785 0.9
86: ... loglikelihood=-5.7103494645755095 0.9
87: ... loglikelihood=-5.69793604936391 0.9
88: ... loglikelihood=-5.685662899890551 0.9
89: ... loglikelihood=-5.673526781420428 0.9
90: ... loglikelihood=-5.661524559789312 0.9
91: ... loglikelihood=-5.649653197527472 0.9
92: ... loglikelihood=-5.637909750166042 0.9
93: ... loglikelihood=-5.626291362715305 0.9
94: ... loglikelihood=-5.614795266305041 0.9
95: ... loglikelihood=-5.6034187749776985 0.9
96: ... loglikelihood=-5.592159282625964 0.9
97: ... loglikelihood=-5.5810142600667145 0.9
98: ... loglikelihood=-5.56998125224402 0.9
99: ... loglikelihood=-5.55905787555431 0.9
100: ... loglikelihood=-5.548241815287285 0.9
classifiy with realModel: A = 0.586860
classifiy with repeatModel: A = 0.586860
classifiy with realModel: B = 0.413140
classifiy with repeatModel: B = 0.413140
classifiy with realModel: A = 0.998804
classifiy with repeatModel: A = 0.998804
classifiy with realModel: B = 0.001196
classifiy with repeatModel: B = 0.001196
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.058 s - in opennlp.maxent.RealValueModelTest
[INFO] Running opennlp.maxent.io.RealValueFileEventStreamTest
Indexing events using cutoff of 1
Computing event counts... done. 2 events
Indexing... done.
Sorting and merging events... done. Reduced 2 events to 1.
Done indexing.
Indexing events using cutoff of 1
Computing event counts... done. 2 events
Indexing... done.
Sorting and merging events... done. Reduced 2 events to 1.
Done indexing.
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 s - in opennlp.maxent.io.RealValueFileEventStreamTest
[INFO] Running opennlp.maxent.quasinewton.LineSearchTest
[INFO] Tests run: 8, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.maxent.quasinewton.LineSearchTest
[INFO] Running opennlp.maxent.quasinewton.LogLikelihoodFunctionTest
Indexing events using cutoff of 1
Computing event counts... done. 20 events
Indexing... done.
Sorting and merging events... done. Reduced 20 events to 19.
Done indexing.
Indexing events using cutoff of 1
Computing event counts... done. 20 events
Indexing... done.
Sorting and merging events... done. Reduced 20 events to 19.
Done indexing.
Indexing events using cutoff of 1
Computing event counts... done. 20 events
Indexing... done.
Sorting and merging events... done. Reduced 20 events to 19.
Done indexing.
Indexing events using cutoff of 1
Computing event counts... done. 20 events
Indexing... done.
Sorting and merging events... done. Reduced 20 events to 19.
Done indexing.
Indexing events using cutoff of 1
Computing event counts... done. 20 events
Indexing... done.
Sorting and merging events... done. Reduced 20 events to 19.
Done indexing.
Indexing events using cutoff of 1
Computing event counts... done. 20 events
Indexing... done.
Sorting and merging events... done. Reduced 20 events to 19.
Done indexing.
Indexing events using cutoff of 1
Computing event counts... done. 20 events
Indexing... done.
Sorting and merging events... done. Reduced 20 events to 19.
Done indexing.
Indexing events using cutoff of 1
Computing event counts... done. 20 events
Indexing... done.
Sorting and merging events... done. Reduced 20 events to 19.
Done indexing.
[INFO] Tests run: 8, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.006 s - in opennlp.maxent.quasinewton.LogLikelihoodFunctionTest
[INFO]
[INFO] Results:
[INFO]
[INFO] Tests run: 21, Failures: 0, Errors: 0, Skipped: 0
[INFO]
[INFO]
[INFO] --- maven-bundle-plugin:3.5.0:bundle (default-bundle) @ opennlp-maxent ---
[INFO]
[INFO] ------------------< org.apache.opennlp:opennlp-tools >------------------
[INFO] Building Apache OpenNLP Tools 1.5.3 [3/4]
[INFO] -------------------------------[ bundle ]-------------------------------
[INFO]
[INFO] --- maven-remote-resources-plugin:1.5:process (process-resource-bundles) @ opennlp-tools ---
[INFO]
[INFO] --- maven-resources-plugin:3.1.0:resources (default-resources) @ opennlp-tools ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] Copying 1 resource
[INFO] Copying 5 resources
[INFO]
[INFO] --- maven-compiler-plugin:3.7.0:compile (default-compile) @ opennlp-tools ---
[INFO] Changes detected - recompiling the module!
[INFO] Compiling 457 source files to /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/target/classes
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/util/model/FeatureGeneratorFactorySerializer.java:[26,37] opennlp.tools.util.featuregen.FeatureGeneratorFactory in opennlp.tools.util.featuregen has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/cmdline/coref/CoreferencerTool.java:[39,34] opennlp.tools.lang.english.TreebankLinker in opennlp.tools.lang.english has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/lang/spanish/TokenChunker.java:[37,16] NameFinderME(opennlp.model.MaxentModel) in opennlp.tools.namefind.NameFinderME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/treeinsert/AttachContextGenerator.java:[40,22] unchecked method invocation: method getContext in class opennlp.tools.parser.treeinsert.AttachContextGenerator is applied to given types
required: opennlp.tools.parser.Parse[],int,java.util.List,int
found: opennlp.tools.parser.Parse[],java.lang.Integer,java.util.List,java.lang.Integer
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/treeinsert/AttachContextGenerator.java:[40,62] unchecked conversion
required: java.util.List
found: java.util.List
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/AbstractParserEventStream.java:[54,37] CHUNK in opennlp.tools.parser.ParserEventTypeEnum has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/AbstractParserEventStream.java:[57,42] TAG in opennlp.tools.parser.ParserEventTypeEnum has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/AbstractParserEventStream.java:[77,37] TAG in opennlp.tools.parser.ParserEventTypeEnum has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/AbstractParserEventStream.java:[80,42] CHUNK in opennlp.tools.parser.ParserEventTypeEnum has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/namefind/NameFinderEventStream.java:[64,28] DefaultNameContextGenerator() in opennlp.tools.namefind.DefaultNameContextGenerator has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/cmdline/parser/BuildModelUpdaterTool.java:[51,40] train(opennlp.model.EventStream,int,int) in opennlp.tools.parser.chunking.Parser has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/chunking/ParserEventStream.java:[185,36] CHUNK in opennlp.tools.parser.ParserEventTypeEnum has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/chunking/ParserEventStream.java:[188,36] TAG in opennlp.tools.parser.ParserEventTypeEnum has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/chunking/ParserEventStream.java:[199,23] HeadRules(java.lang.String) in opennlp.tools.parser.lang.en.HeadRules has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/chunking/ParserEventStream.java:[202,14] Dictionary(java.io.InputStream,boolean) in opennlp.tools.dictionary.Dictionary has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/treeinsert/ParserEventStream.java:[353,36] CHUNK in opennlp.tools.parser.ParserEventTypeEnum has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/treeinsert/ParserEventStream.java:[359,36] TAG in opennlp.tools.parser.ParserEventTypeEnum has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/treeinsert/ParserEventStream.java:[378,23] HeadRules(java.lang.String) in opennlp.tools.parser.lang.en.HeadRules has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/sentdetect/lang/th/SentenceContextGenerator.java:[35,18] collectFeatures(java.lang.String,java.lang.String,java.lang.String,java.lang.String) in opennlp.tools.sentdetect.DefaultSDContextGenerator has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/cmdline/parser/CheckModelUpdaterTool.java:[52,40] train(opennlp.model.EventStream,int,int) in opennlp.tools.parser.chunking.Parser has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/cmdline/coref/CoreferencerTool.java:[114,7] opennlp.tools.lang.english.TreebankLinker in opennlp.tools.lang.english has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/cmdline/coref/CoreferencerTool.java:[116,30] opennlp.tools.lang.english.TreebankLinker in opennlp.tools.lang.english has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/chunking/Parser.java:[77,9] ChunkerME(opennlp.tools.chunker.ChunkerModel,int,opennlp.tools.util.SequenceValidator,opennlp.tools.chunker.ChunkerContextGenerator) in opennlp.tools.chunker.ChunkerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/chunking/Parser.java:[303,36] train(java.lang.String,opennlp.tools.util.ObjectStream,opennlp.tools.util.TrainingParameters,opennlp.tools.postag.POSDictionary,opennlp.tools.dictionary.Dictionary) in opennlp.tools.postag.POSTaggerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/chunking/Parser.java:[309,40] train(java.lang.String,opennlp.tools.util.ObjectStream,opennlp.tools.chunker.ChunkerContextGenerator,opennlp.tools.util.TrainingParameters) in opennlp.tools.chunker.ChunkerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/treeinsert/Parser.java:[103,9] ChunkerME(opennlp.tools.chunker.ChunkerModel,int,opennlp.tools.util.SequenceValidator,opennlp.tools.chunker.ChunkerContextGenerator) in opennlp.tools.chunker.ChunkerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/treeinsert/Parser.java:[452,36] train(java.lang.String,opennlp.tools.util.ObjectStream,opennlp.tools.util.TrainingParameters,opennlp.tools.postag.POSDictionary,opennlp.tools.dictionary.Dictionary) in opennlp.tools.postag.POSTaggerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/parser/treeinsert/Parser.java:[458,40] train(java.lang.String,opennlp.tools.util.ObjectStream,opennlp.tools.chunker.ChunkerContextGenerator,opennlp.tools.util.TrainingParameters) in opennlp.tools.chunker.ChunkerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/util/featuregen/FeatureGeneratorUtil.java:[48,12] opennlp.tools.util.featuregen.FastTokenClassFeatureGenerator in opennlp.tools.util.featuregen has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/util/ext/OSGiExtensionLoader.java:[82,56] unchecked cast
required: T
found: java.lang.Object
[INFO]
[INFO] --- maven-resources-plugin:3.1.0:testResources (default-testResources) @ opennlp-tools ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] Copying 35 resources
[INFO] Copying 5 resources
[INFO]
[INFO] --- maven-compiler-plugin:3.7.0:testCompile (default-testCompile) @ opennlp-tools ---
[INFO] Changes detected - recompiling the module!
[INFO] Compiling 98 source files to /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/target/test-classes
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/NameFinderEventStreamTest.java:[26,23] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/parser/ParserTestUtil.java:[26,23] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/chunker/ChunkerEvaluatorTest.java:[20,30] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/TokenNameFinderEvaluatorTest.java:[20,30] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/TokenNameFinderEvaluatorTest.java:[21,30] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/chunker/ChunkerDetailedFMeasureListenerTest.java:[20,30] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSSampleEventStreamTest.java:[21,23] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/sentdetect/SentenceDetectorEvaluatorTest.java:[20,30] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/sentdetect/SentenceDetectorEvaluatorTest.java:[21,30] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/formats/muc/DocumentSplitterStreamTest.java:[24,23] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/tokenize/TokenizerEvaluatorTest.java:[20,30] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/tokenize/TokenizerEvaluatorTest.java:[21,30] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSEvaluatorTest.java:[20,30] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSEvaluatorTest.java:[21,30] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/NameFinderEventStreamTest.java:[68,7] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/NameFinderEventStreamTest.java:[69,7] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSTaggerMETest.java:[52,23] train(java.lang.String,opennlp.tools.util.ObjectStream,opennlp.tools.util.model.ModelType,opennlp.tools.postag.POSDictionary,opennlp.tools.dictionary.Dictionary,int,int) in opennlp.tools.postag.POSTaggerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/parser/ParserTestUtil.java:[70,11] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/parser/chunking/ParserTest.java:[47,31] train(java.lang.String,opennlp.tools.util.ObjectStream,opennlp.tools.parser.HeadRules,int,int) in opennlp.tools.parser.chunking.Parser has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/sentdetect/SentenceDetectorMETest.java:[43,55] train(java.lang.String,opennlp.tools.util.ObjectStream,boolean,opennlp.tools.dictionary.Dictionary,int,int) in opennlp.tools.sentdetect.SentenceDetectorME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSDictionaryTest.java:[67,15] addTags(java.lang.String,java.lang.String...) in opennlp.tools.postag.POSDictionary has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSDictionaryTest.java:[68,15] addTags(java.lang.String,java.lang.String...) in opennlp.tools.postag.POSDictionary has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSDictionaryTest.java:[69,15] addTags(java.lang.String,java.lang.String...) in opennlp.tools.postag.POSDictionary has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSDictionaryTest.java:[70,15] addTags(java.lang.String,java.lang.String...) in opennlp.tools.postag.POSDictionary has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/NameFinderMETest.java:[71,56] train(java.lang.String,java.lang.String,opennlp.tools.util.ObjectStream,java.util.Map,int,int) in opennlp.tools.namefind.NameFinderME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/NameFinderMETest.java:[130,56] train(java.lang.String,java.lang.String,opennlp.tools.util.ObjectStream,java.util.Map,int,int) in opennlp.tools.namefind.NameFinderME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/NameFinderMETest.java:[175,56] train(java.lang.String,java.lang.String,opennlp.tools.util.ObjectStream,java.util.Map,int,int) in opennlp.tools.namefind.NameFinderME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/NameFinderMETest.java:[210,56] train(java.lang.String,java.lang.String,opennlp.tools.util.ObjectStream,java.util.Map,int,int) in opennlp.tools.namefind.NameFinderME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/NameFinderMETest.java:[247,56] train(java.lang.String,java.lang.String,opennlp.tools.util.ObjectStream,java.util.Map,int,int) in opennlp.tools.namefind.NameFinderME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/namefind/NameFinderMETest.java:[300,56] train(java.lang.String,java.lang.String,opennlp.tools.util.ObjectStream,java.util.Map,int,int) in opennlp.tools.namefind.NameFinderME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSSampleEventStreamTest.java:[47,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSSampleEventStreamTest.java:[48,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSSampleEventStreamTest.java:[50,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSSampleEventStreamTest.java:[51,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSSampleEventStreamTest.java:[53,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSSampleEventStreamTest.java:[54,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSSampleEventStreamTest.java:[56,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSSampleEventStreamTest.java:[57,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSSampleEventStreamTest.java:[59,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/chunker/DummyChunker.java:[71,27] topKSequences(java.util.List,java.util.List) in opennlp.tools.chunker.Chunker has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/chunker/DummyChunker.java:[41,29] chunk(java.util.List,java.util.List) in opennlp.tools.chunker.Chunker has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/chunker/ChunkerMETest.java:[79,42] train(java.lang.String,opennlp.tools.util.ObjectStream,int,int) in opennlp.tools.chunker.ChunkerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/formats/muc/DocumentSplitterStreamTest.java:[46,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/formats/muc/DocumentSplitterStreamTest.java:[47,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/formats/muc/DocumentSplitterStreamTest.java:[50,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/formats/muc/DocumentSplitterStreamTest.java:[51,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/formats/muc/DocumentSplitterStreamTest.java:[53,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/formats/muc/DocumentSplitterStreamTest.java:[54,5] junit.framework.Assert in junit.framework has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/tokenize/TokenizerTestUtil.java:[55,23] train(java.lang.String,opennlp.tools.util.ObjectStream,boolean,int,int) in opennlp.tools.tokenize.TokenizerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/tokenize/TokenizerTestUtil.java:[67,23] train(java.lang.String,opennlp.tools.util.ObjectStream,boolean,int,int) in opennlp.tools.tokenize.TokenizerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSEvaluatorTest.java:[87,23] topKSequences(java.util.List) in opennlp.tools.postag.POSTagger has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSEvaluatorTest.java:[83,19] tag(java.lang.String) in opennlp.tools.postag.POSTagger has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/test/java/opennlp/tools/postag/POSEvaluatorTest.java:[75,25] tag(java.util.List) in opennlp.tools.postag.POSTagger has been deprecated
[INFO]
[INFO] --- maven-surefire-plugin:2.21.0:test (default-test) @ opennlp-tools ---
[INFO]
[INFO] -------------------------------------------------------
[INFO] T E S T S
[INFO] -------------------------------------------------------
[INFO] Running opennlp.tools.stemmer.PorterStemmerTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.02 s - in opennlp.tools.stemmer.PorterStemmerTest
[INFO] Running opennlp.tools.doccat.DocumentCategorizerMETest
Indexing events using cutoff of 0
Computing event counts... done. 6 events
Indexing... done.
Sorting and merging events... done. Reduced 6 events to 6.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 6
Number of Outcomes: 2
Number of Predicates: 14
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-4.1588830833596715 0.5
2: ... loglikelihood=-2.635199175904889 1.0
3: ... loglikelihood=-1.9518912133474995 1.0
4: ... loglikelihood=-1.5599038834410852 1.0
5: ... loglikelihood=-1.3039748361952568 1.0
6: ... loglikelihood=-1.1229511041438864 1.0
7: ... loglikelihood=-0.9877356230661396 1.0
8: ... loglikelihood=-0.8826624290652343 1.0
9: ... loglikelihood=-0.7985244514476817 1.0
10: ... loglikelihood=-0.729543972551105 1.0
11: ... loglikelihood=-0.6719057025062701 1.0
12: ... loglikelihood=-0.6229853027185925 1.0
13: ... loglikelihood=-0.5809162742164752 1.0
14: ... loglikelihood=-0.5443335687555484 1.0
15: ... loglikelihood=-0.5122149969571859 1.0
16: ... loglikelihood=-0.48377942796340945 1.0
17: ... loglikelihood=-0.45841934126317996 1.0
18: ... loglikelihood=-0.4356548975885436 1.0
19: ... loglikelihood=-0.41510190561083093 1.0
20: ... loglikelihood=-0.39644900382333614 1.0
21: ... loglikelihood=-0.37944109908352397 1.0
22: ... loglikelihood=-0.3638671430513709 1.0
23: ... loglikelihood=-0.3495509732029668 1.0
24: ... loglikelihood=-0.33634435582154204 1.0
25: ... loglikelihood=-0.32412163562479057 1.0
26: ... loglikelihood=-0.3127755741361828 1.0
27: ... loglikelihood=-0.30221407890922175 1.0
28: ... loglikelihood=-0.29235760823681833 1.0
29: ... loglikelihood=-0.2831370936066454 1.0
30: ... loglikelihood=-0.2744922629805444 1.0
31: ... loglikelihood=-0.26637027726604584 1.0
32: ... loglikelihood=-0.25872461362200316 1.0
33: ... loglikelihood=-0.251514144866794 1.0
34: ... loglikelihood=-0.24470237585639087 1.0
35: ... loglikelihood=-0.2382568063936495 1.0
36: ... loglikelihood=-0.23214839680666094 1.0
37: ... loglikelihood=-0.22635111735171354 1.0
38: ... loglikelihood=-0.2208415664557101 1.0
39: ... loglikelihood=-0.21559864580391036 1.0
40: ... loglikelihood=-0.21060328261361017 1.0
41: ... loglikelihood=-0.20583819126921749 1.0
42: ... loglikelihood=-0.20128766794543573 1.0
43: ... loglikelihood=-0.19693741300013823 1.0
44: ... loglikelihood=-0.19277437684279958 1.0
45: ... loglikelihood=-0.18878662572821742 1.0
46: ... loglikelihood=-0.18496322452698344 1.0
47: ... loglikelihood=-0.18129413401340105 1.0
48: ... loglikelihood=-0.17777012061116387 1.0
49: ... loglikelihood=-0.17438267686503017 1.0
50: ... loglikelihood=-0.17112395117698467 1.0
51: ... loglikelihood=-0.16798668556901575 1.0
52: ... loglikelihood=-0.16496416042045056 1.0
53: ... loglikelihood=-0.16205014528275752 1.0
54: ... loglikelihood=-0.15923885500444784 1.0
55: ... loglikelihood=-0.15652491050765338 1.0
56: ... loglikelihood=-0.1539033036498119 1.0
57: ... loglikelihood=-0.15136936568152115 1.0
58: ... loglikelihood=-0.14891873887750895 1.0
59: ... loglikelihood=-0.1465473509736806 1.0
60: ... loglikelihood=-0.14425139209102758 1.0
61: ... loglikelihood=-0.14202729386808258 1.0
62: ... loglikelihood=-0.1398717105587013 1.0
63: ... loglikelihood=-0.13778150188213562 1.0
64: ... loglikelihood=-0.1357537174383962 1.0
65: ... loglikelihood=-0.13378558252440362 1.0
66: ... loglikelihood=-0.13187448520591927 1.0
67: ... loglikelihood=-0.130017964517187 1.0
68: ... loglikelihood=-0.12821369967494356 1.0
69: ... loglikelihood=-0.1264595002063183 1.0
70: ... loglikelihood=-0.12475329690137033 1.0
71: ... loglikelihood=-0.12309313351085499 1.0
72: ... loglikelihood=-0.12147715911844403 1.0
73: ... loglikelihood=-0.11990362112420858 1.0
74: ... loglikelihood=-0.11837085878287719 1.0
75: ... loglikelihood=-0.1168772972462529 1.0
76: ... loglikelihood=-0.115421442064419 1.0
77: ... loglikelihood=-0.11400187410495255 1.0
78: ... loglikelihood=-0.11261724485347933 1.0
79: ... loglikelihood=-0.11126627206252662 1.0
80: ... loglikelihood=-0.109947735718878 1.0
81: ... loglikelihood=-0.1086604743025063 1.0
82: ... loglikelihood=-0.10740338131274338 1.0
83: ... loglikelihood=-0.1061754020396376 1.0
84: ... loglikelihood=-0.10497553056050854 1.0
85: ... loglikelihood=-0.10380280694355748 1.0
86: ... loglikelihood=-0.10265631464203501 1.0
87: ... loglikelihood=-0.10153517806397222 1.0
88: ... loglikelihood=-0.10043856030379084 1.0
89: ... loglikelihood=-0.09936566102334465 1.0
90: ... loglikelihood=-0.09831571447100784 1.0
91: ... loglikelihood=-0.09728798762840932 1.0
92: ... loglikelihood=-0.09628177847531083 1.0
93: ... loglikelihood=-0.09529641436391814 1.0
94: ... loglikelihood=-0.09433125049464022 1.0
95: ... loglikelihood=-0.0933856684859806 1.0
96: ... loglikelihood=-0.0924590750318329 1.0
97: ... loglikelihood=-0.09155090064000486 1.0
98: ... loglikelihood=-0.09066059844628399 1.0
99: ... loglikelihood=-0.08978764309881067 1.0
100: ... loglikelihood=-0.08893152970793908 1.0
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.088 s - in opennlp.tools.doccat.DocumentCategorizerMETest
[INFO] Running opennlp.tools.doccat.DocumentSampleTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.doccat.DocumentSampleTest
[INFO] Running opennlp.tools.dictionary.DictionaryAsSetCaseSensitiveTest
[INFO] Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.dictionary.DictionaryAsSetCaseSensitiveTest
[INFO] Running opennlp.tools.dictionary.DictionaryTest
[INFO] Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.051 s - in opennlp.tools.dictionary.DictionaryTest
[INFO] Running opennlp.tools.dictionary.DictionaryAsSetCaseInsensitiveTest
[INFO] Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 s - in opennlp.tools.dictionary.DictionaryAsSetCaseInsensitiveTest
[INFO] Running opennlp.tools.cmdline.TerminateToolExceptionTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.cmdline.TerminateToolExceptionTest
[INFO] Running opennlp.tools.cmdline.ArgumentParserTest
[INFO] Tests run: 11, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.058 s - in opennlp.tools.cmdline.ArgumentParserTest
[INFO] Running opennlp.tools.cmdline.CLITest
Tool unknown name is not found.
Missing mandatory parameter: -lang
Usage: opennlp DoccatTrainer[.leipzig] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
OpenNLP 1.5.3. Usage: opennlp TOOL
where TOOL is one of:
Doccat learnable document categorizer
DoccatTrainer trainer for the learnable document categorizer
DoccatConverter converts leipzig data format to native OpenNLP format
DictionaryBuilder builds a new dictionary
SimpleTokenizer character class tokenizer
TokenizerME learnable tokenizer
TokenizerTrainer trainer for the learnable tokenizer
TokenizerMEEvaluator evaluator for the learnable tokenizer
TokenizerCrossValidator K-fold cross validator for the learnable tokenizer
TokenizerConverter converts foreign data formats (ad,pos,conllx,namefinder,parse) to native OpenNLP format
DictionaryDetokenizer
SentenceDetector learnable sentence detector
SentenceDetectorTrainer trainer for the learnable sentence detector
SentenceDetectorEvaluator evaluator for the learnable sentence detector
SentenceDetectorCrossValidator K-fold cross validator for the learnable sentence detector
SentenceDetectorConverter converts foreign data formats (ad,pos,conllx,namefinder,parse) to native OpenNLP format
TokenNameFinder learnable name finder
TokenNameFinderTrainer trainer for the learnable name finder
TokenNameFinderEvaluator Measures the performance of the NameFinder model with the reference data
TokenNameFinderCrossValidator K-fold cross validator for the learnable Name Finder
TokenNameFinderConverter converts foreign data formats (ad,conll03,bionlp2004,conll02,muc6) to native OpenNLP format
CensusDictionaryCreator Converts 1990 US Census names into a dictionary
POSTagger learnable part of speech tagger
POSTaggerTrainer trains a model for the part-of-speech tagger
POSTaggerEvaluator Measures the performance of the POS tagger model with the reference data
POSTaggerCrossValidator K-fold cross validator for the learnable POS tagger
POSTaggerConverter converts foreign data formats (ad,conllx,parse) to native OpenNLP format
ChunkerME learnable chunker
ChunkerTrainerME trainer for the learnable chunker
ChunkerEvaluator Measures the performance of the Chunker model with the reference data
ChunkerCrossValidator K-fold cross validator for the chunker
ChunkerConverter converts ad data format to native OpenNLP format
Parser performs full syntactic parsing
ParserTrainer trains the learnable parser
ParserConverter converts frenchtreebank data format to native OpenNLP format
BuildModelUpdater trains and updates the build model in a parser model
CheckModelUpdater trains and updates the check model in a parser model
TaggerModelReplacer replaces the tagger model in a parser model
Coreferencer learnable noun phrase coreferencer
CoreferencerTrainer
CoreferenceConverter converts muc6full data format to native OpenNLP format
All tools print help when invoked with help parameter
Example: opennlp SimpleTokenizer help
The Document Categorizer model file does not exist! Path: /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/unknown.model
Usage: opennlp Doccat model < documents
Usage: opennlp DoccatTrainer[.leipzig] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp DoccatConverter help|leipzig [help|options...]
Usage: opennlp DictionaryBuilder -inputFile in -outputFile out [-encoding charsetName]
Arguments description:
-inputFile in
Plain file with one entry per line
-outputFile out
The dictionary file.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp SimpleTokenizer < sentences
Usage: opennlp TokenizerME model < sentences
Usage: opennlp TokenizerTrainer[.ad|.pos|.conllx|.namefinder|.parse] [-alphaNumOpt isAlphaNumOpt] [-abbDict path] [-factory factoryName] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-alphaNumOpt isAlphaNumOpt
Optimization flag to skip alpha numeric tokens for further tokenization
-abbDict path
abbreviation dictionary in XML format.
-factory factoryName
A sub-class of TokenizerFactory where to get implementation and resources.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp TokenizerMEEvaluator[.ad|.pos|.conllx|.namefinder|.parse] [-misclassified true|false] -model model -data sampleData [-encoding charsetName]
Arguments description:
-misclassified true|false
if true will print false negatives and false positives.
-model model
the model file to be evaluated.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp TokenizerCrossValidator[.ad|.pos|.conllx|.namefinder|.parse] [-misclassified true|false] [-folds num] [-alphaNumOpt isAlphaNumOpt] [-abbDict path] [-factory factoryName] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -data sampleData [-encoding charsetName]
Arguments description:
-misclassified true|false
if true will print false negatives and false positives.
-folds num
number of folds, default is 10.
-alphaNumOpt isAlphaNumOpt
Optimization flag to skip alpha numeric tokens for further tokenization
-abbDict path
abbreviation dictionary in XML format.
-factory factoryName
A sub-class of TokenizerFactory where to get implementation and resources.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp TokenizerConverter help|ad|pos|conllx|namefinder|parse [help|options...]
Usage: opennlp DictionaryDetokenizer detokenizerDictionary
Usage: opennlp SentenceDetector model < sentences
Usage: opennlp SentenceDetectorTrainer[.ad|.pos|.conllx|.namefinder|.parse] [-eosChars string] [-abbDict path] [-factory factoryName] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-eosChars string
EOS characters.
-abbDict path
abbreviation dictionary in XML format.
-factory factoryName
A sub-class of SentenceDetectorFactory where to get implementation and resources.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp SentenceDetectorEvaluator[.ad|.pos|.conllx|.namefinder|.parse] [-misclassified true|false] -model model -data sampleData [-encoding charsetName]
Arguments description:
-misclassified true|false
if true will print false negatives and false positives.
-model model
the model file to be evaluated.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp SentenceDetectorCrossValidator[.ad|.pos|.conllx|.namefinder|.parse] [-eosChars string] [-abbDict path] [-factory factoryName] [-iterations num] [-cutoff num] [-params paramsFile] -lang language [-misclassified true|false] [-folds num] -data sampleData [-encoding charsetName]
Arguments description:
-eosChars string
EOS characters.
-abbDict path
abbreviation dictionary in XML format.
-factory factoryName
A sub-class of SentenceDetectorFactory where to get implementation and resources.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-misclassified true|false
if true will print false negatives and false positives.
-folds num
number of folds, default is 10.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp SentenceDetectorConverter help|ad|pos|conllx|namefinder|parse [help|options...]
Usage: opennlp TokenNameFinder model1 model2 ... modelN < sentences
Usage: opennlp TokenNameFinderTrainer[.ad|.conll03|.bionlp2004|.conll02|.muc6] [-nameTypes types] [-featuregen featuregenFile] [-resources resourcesDir] [-type modelType] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-nameTypes types
name types to use for training
-featuregen featuregenFile
The feature generator descriptor file
-resources resourcesDir
The resources directory
-type modelType
The type of the token name finder model
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp TokenNameFinderEvaluator[.ad|.conll03|.bionlp2004|.conll02|.muc6] [-misclassified true|false] -model model [-detailedF true|false] -data sampleData [-encoding charsetName]
Arguments description:
-misclassified true|false
if true will print false negatives and false positives.
-model model
the model file to be evaluated.
-detailedF true|false
if true will print detailed FMeasure results.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp TokenNameFinderCrossValidator[.ad|.conll03|.bionlp2004|.conll02|.muc6] [-featuregen featuregenFile] [-resources resourcesDir] [-type modelType] [-iterations num] [-cutoff num] [-params paramsFile] -lang language [-misclassified true|false] [-folds num] [-detailedF true|false] -data sampleData [-encoding charsetName]
Arguments description:
-featuregen featuregenFile
The feature generator descriptor file
-resources resourcesDir
The resources directory
-type modelType
The type of the token name finder model
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-misclassified true|false
if true will print false negatives and false positives.
-folds num
number of folds, default is 10.
-detailedF true|false
if true will print detailed FMeasure results.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp TokenNameFinderConverter help|ad|conll03|bionlp2004|conll02|muc6 [help|options...]
Usage: opennlp CensusDictionaryCreator -dict dict -censusData censusDict [-lang code] [-encoding charsetName]
Arguments description:
-dict dict
-censusData censusDict
-lang code
-encoding charsetName
Usage: opennlp POSTagger model < sentences
Usage: opennlp POSTaggerTrainer[.ad|.conllx|.parse] [-dict dictionaryPath] [-ngram cutoff] [-tagDictCutoff tagDictCutoff] [-factory factoryName] [-type maxent|perceptron|perceptron_sequence] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-dict dictionaryPath
The XML tag dictionary file
-ngram cutoff
NGram cutoff. If not specified will not create ngram dictionary.
-tagDictCutoff tagDictCutoff
TagDictionary cutoff. If specified will create/expand a mutable TagDictionary
-factory factoryName
A sub-class of POSTaggerFactory where to get implementation and resources.
-type maxent|perceptron|perceptron_sequence
The type of the token name finder model. One of maxent|perceptron|perceptron_sequence.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp POSTaggerEvaluator[.ad|.conllx|.parse] [-reportOutputFile outputFile] [-misclassified true|false] -model model -data sampleData [-encoding charsetName]
Arguments description:
-reportOutputFile outputFile
the path of the fine-grained report file.
-misclassified true|false
if true will print false negatives and false positives.
-model model
the model file to be evaluated.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp POSTaggerCrossValidator[.ad|.conllx|.parse] [-reportOutputFile outputFile] [-misclassified true|false] [-folds num] [-dict dictionaryPath] [-ngram cutoff] [-tagDictCutoff tagDictCutoff] [-factory factoryName] [-type maxent|perceptron|perceptron_sequence] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -data sampleData [-encoding charsetName]
Arguments description:
-reportOutputFile outputFile
the path of the fine-grained report file.
-misclassified true|false
if true will print false negatives and false positives.
-folds num
number of folds, default is 10.
-dict dictionaryPath
The XML tag dictionary file
-ngram cutoff
NGram cutoff. If not specified will not create ngram dictionary.
-tagDictCutoff tagDictCutoff
TagDictionary cutoff. If specified will create/expand a mutable TagDictionary
-factory factoryName
A sub-class of POSTaggerFactory where to get implementation and resources.
-type maxent|perceptron|perceptron_sequence
The type of the token name finder model. One of maxent|perceptron|perceptron_sequence.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp POSTaggerConverter help|ad|conllx|parse [help|options...]
Usage: opennlp ChunkerME model < sentences
Usage: opennlp ChunkerTrainerME[.ad] [-factory factoryName] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-factory factoryName
A sub-class of ChunkerFactory where to get implementation and resources.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp ChunkerEvaluator[.ad] [-misclassified true|false] -model model [-detailedF true|false] -data sampleData [-encoding charsetName]
Arguments description:
-misclassified true|false
if true will print false negatives and false positives.
-model model
the model file to be evaluated.
-detailedF true|false
if true will print detailed FMeasure results.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp ChunkerCrossValidator[.ad] [-factory factoryName] [-iterations num] [-cutoff num] [-params paramsFile] -lang language [-misclassified true|false] [-folds num] [-detailedF true|false] -data sampleData [-encoding charsetName]
Arguments description:
-factory factoryName
A sub-class of ChunkerFactory where to get implementation and resources.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-misclassified true|false
if true will print false negatives and false positives.
-folds num
number of folds, default is 10.
-detailedF true|false
if true will print detailed FMeasure results.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp ChunkerConverter help|ad [help|options...]
Usage: opennlp Parser [-bs n -ap n -k n] model < sentences
-bs n: Use a beam size of n.
-ap f: Advance outcomes in with at least f% of the probability mass.
-k n: Show the top n parses. This will also display their log-probablities.
Usage: opennlp ParserTrainer[.frenchtreebank] -headRules headRulesFile [-parserType CHUNKING|TREEINSERT] [-fun true|false] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile [-encoding charsetName] -data sampleData
Arguments description:
-headRules headRulesFile
head rules file.
-parserType CHUNKING|TREEINSERT
one of CHUNKING or TREEINSERT, default is CHUNKING.
-fun true|false
Learn to generate function tags.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
-data sampleData
data to be used, usually a file name.
Usage: opennlp ParserConverter help|frenchtreebank [help|options...]
Usage: opennlp BuildModelUpdater[.frenchtreebank] -model modelFile [-iterations num] [-cutoff num] [-params paramsFile] -lang language -data sampleData [-encoding charsetName]
Arguments description:
-model modelFile
output model file.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp CheckModelUpdater[.frenchtreebank] -model modelFile [-iterations num] [-cutoff num] [-params paramsFile] -lang language -data sampleData [-encoding charsetName]
Arguments description:
-model modelFile
output model file.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp TaggerModelReplacer parser.model tagger.model
Usage: opennlp Coreferencer model_directory < parses
Usage: opennlp CoreferencerTrainer[.muc6full] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp CoreferenceConverter help|muc6full [help|options...]
[INFO] Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.195 s - in opennlp.tools.cmdline.CLITest
[INFO] Running opennlp.tools.postag.POSEvaluatorTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.postag.POSEvaluatorTest
[INFO] Running opennlp.tools.postag.POSTaggerFactoryTest
Indexing events using cutoff of 5
Computing event counts... done. 1607 events
Indexing... done.
Sorting and merging events... done. Reduced 1607 events to 1445.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1445
Number of Outcomes: 31
Number of Predicates: 353
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-5518.4174376075725 0.05289359054138146
2: ... loglikelihood=-3974.566652209835 0.6764156813939017
3: ... loglikelihood=-3164.7194581009126 0.7118855009334163
4: ... loglikelihood=-2687.9334164944376 0.7367766023646546
5: ... loglikelihood=-2370.279658503885 0.7647790914747977
6: ... loglikelihood=-2139.955518769659 0.776602364654636
7: ... loglikelihood=-1963.4794873365595 0.7853142501555694
8: ... loglikelihood=-1823.1031230115175 0.7971375233354075
9: ... loglikelihood=-1708.3449826631863 0.8089607965152458
10: ... loglikelihood=-1612.4979558880798 0.820784069695084
11: ... loglikelihood=-1531.0316706793644 0.8319850653391413
12: ... loglikelihood=-1460.7709814059867 0.8413192283758556
13: ... loglikelihood=-1399.4260128962082 0.8475420037336652
14: ... loglikelihood=-1345.303797846888 0.8512756689483509
15: ... loglikelihood=-1297.1245402561515 0.8556316116988176
16: ... loglikelihood=-1253.901507298765 0.8606098319850654
17: ... loglikelihood=-1214.8605985654854 0.8680771624144369
18: ... loglikelihood=-1179.3851822760892 0.8711885500933416
19: ... loglikelihood=-1146.977394094269 0.8724331051649036
20: ... loglikelihood=-1117.2304171749813 0.8786558805227132
21: ... loglikelihood=-1089.8082536232243 0.879900435594275
22: ... loglikelihood=-1064.4307133125308 0.880522713130056
23: ... loglikelihood=-1040.8621049527271 0.8842563783447418
24: ... loglikelihood=-1018.9025990883036 0.8848786558805227
25: ... loglikelihood=-998.3815492447245 0.8886123210952085
26: ... loglikelihood=-979.1522683253564 0.8904791537025514
27: ... loglikelihood=-961.0879004574982 0.8929682638456752
28: ... loglikelihood=-944.0781272142473 0.896701929060361
29: ... loglikelihood=-928.0265163015675 0.896701929060361
30: ... loglikelihood=-912.8483699356022 0.896701929060361
31: ... loglikelihood=-898.4689654997715 0.9004355942750467
32: ... loglikelihood=-884.8221068341023 0.9016801493466086
33: ... loglikelihood=-871.8489234906266 0.9035469819539514
34: ... loglikelihood=-859.4968694217969 0.9029247044181705
35: ... loglikelihood=-847.7188831971207 0.9029247044181705
36: ... loglikelihood=-836.4726799095529 0.9041692594897324
37: ... loglikelihood=-825.720151109091 0.9047915370255134
38: ... loglikelihood=-815.4268538678787 0.9066583696328563
39: ... loglikelihood=-805.561573789099 0.9072806471686372
40: ... loglikelihood=-796.0959496768007 0.9085252022401992
41: ... loglikelihood=-787.0041498753684 0.9085252022401992
42: ... loglikelihood=-778.2625921064604 0.9085252022401992
43: ... loglikelihood=-769.8497000845189 0.9085252022401992
44: ... loglikelihood=-761.7456913590768 0.909769757311761
45: ... loglikelihood=-753.9323917753323 0.911014312383323
46: ... loglikelihood=-746.3930727099572 0.9128811449906659
47: ... loglikelihood=-739.1123078639754 0.9141257000622277
48: ... loglikelihood=-732.0758469068497 0.9147479775980087
49: ... loglikelihood=-725.27050368779 0.9147479775980087
50: ... loglikelihood=-718.6840570792194 0.9166148102053516
51: ... loglikelihood=-712.3051628072532 0.9166148102053516
52: ... loglikelihood=-706.123274865618 0.9166148102053516
53: ... loglikelihood=-700.1285753118132 0.9172370877411326
54: ... loglikelihood=-694.3119114141045 0.9184816428126945
55: ... loglikelihood=-688.6647392613205 0.9197261978842564
56: ... loglikelihood=-683.1790730684055 0.9203484754200373
57: ... loglikelihood=-677.8474395135767 0.9209707529558183
58: ... loglikelihood=-672.6628365303823 0.9215930304915992
59: ... loglikelihood=-667.6186960525661 0.9215930304915992
60: ... loglikelihood=-662.7088502737012 0.9222153080273802
61: ... loglikelihood=-657.9275010383044 0.924082140634723
62: ... loglikelihood=-653.2691920284506 0.925326695706285
63: ... loglikelihood=-648.7287834506608 0.925326695706285
64: ... loglikelihood=-644.3014289630692 0.925326695706285
65: ... loglikelihood=-639.9825546134655 0.926571250777847
66: ... loglikelihood=-635.7678395854047 0.926571250777847
67: ... loglikelihood=-631.6531985726887 0.926571250777847
68: ... loglikelihood=-627.6347656227413 0.9271935283136279
69: ... loglikelihood=-623.7088793071199 0.9271935283136279
70: ... loglikelihood=-619.8720690928096 0.9271935283136279
71: ... loglikelihood=-616.1210428016851 0.9271935283136279
72: ... loglikelihood=-612.4526750573567 0.9271935283136279
73: ... loglikelihood=-608.8639966293159 0.9271935283136279
74: ... loglikelihood=-605.3521845935101 0.9271935283136279
75: ... loglikelihood=-601.9145532367986 0.9271935283136279
76: ... loglikelihood=-598.548545640018 0.9278158058494088
77: ... loglikelihood=-595.2517258808787 0.9278158058494088
78: ... loglikelihood=-592.0217718037245 0.9278158058494088
79: ... loglikelihood=-588.8564683082562 0.9278158058494088
80: ... loglikelihood=-585.7537011139647 0.9271935283136279
81: ... loglikelihood=-582.7114509610992 0.9271935283136279
82: ... loglikelihood=-579.7277882126275 0.9290603609209708
83: ... loglikelihood=-576.8008678249776 0.9290603609209708
84: ... loglikelihood=-573.9289246582409 0.9296826384567517
85: ... loglikelihood=-571.1102690991944 0.9296826384567517
86: ... loglikelihood=-568.3432829728657 0.9303049159925326
87: ... loglikelihood=-565.6264157205044 0.9309271935283137
88: ... loglikelihood=-562.9581808237349 0.9315494710640946
89: ... loglikelihood=-560.3371524564712 0.9315494710640946
90: ... loglikelihood=-557.7619623476356 0.9315494710640946
91: ... loglikelihood=-555.2312968392846 0.9315494710640946
92: ... loglikelihood=-552.7438941259085 0.9321717485998755
93: ... loglikelihood=-550.2985416619372 0.9327940261356565
94: ... loglikelihood=-547.8940737254808 0.9327940261356565
95: ... loglikelihood=-545.5293691273515 0.9327940261356565
96: ... loglikelihood=-543.2033490552352 0.9327940261356565
97: ... loglikelihood=-540.9149750437439 0.9327940261356565
98: ... loglikelihood=-538.6632470617495 0.9327940261356565
99: ... loglikelihood=-536.4472017091057 0.9327940261356565
100: ... loglikelihood=-534.2659105154505 0.9327940261356565
Could not instantiate the java.lang.Object. The initialization throw an exception.
opennlp.tools.util.ext.ExtensionNotLoadedException: Extension class 'java.lang.Object' needs to have type: opennlp.tools.util.BaseToolFactory
at opennlp.tools.util.ext.ExtensionLoader.instantiateExtension(ExtensionLoader.java:72)
at opennlp.tools.util.BaseToolFactory.create(BaseToolFactory.java:106)
at opennlp.tools.postag.POSTaggerFactoryTest.testCreateWithHierarchy(POSTaggerFactoryTest.java:127)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:52)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
at org.junit.internal.runners.statements.ExpectException.evaluate(ExpectException.java:19)
at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:365)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeWithRerun(JUnit4Provider.java:273)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:238)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:159)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:379)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:340)
at org.apache.maven.surefire.booter.ForkedBooter.execute(ForkedBooter.java:125)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:413)
Could not instantiate the X. The initialization throw an exception.
opennlp.tools.util.ext.ExtensionNotLoadedException: Unable to find implementation for opennlp.tools.postag.POSTaggerFactory, the class or service X could not be located!
at opennlp.tools.util.ext.ExtensionLoader.instantiateExtension(ExtensionLoader.java:98)
at opennlp.tools.postag.POSTaggerFactory.create(POSTaggerFactory.java:231)
at opennlp.tools.postag.POSTaggerFactoryTest.testCreateWithInvalidName2(POSTaggerFactoryTest.java:122)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:52)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
at org.junit.internal.runners.statements.ExpectException.evaluate(ExpectException.java:19)
at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:365)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeWithRerun(JUnit4Provider.java:273)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:238)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:159)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:379)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:340)
at org.apache.maven.surefire.booter.ForkedBooter.execute(ForkedBooter.java:125)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:413)
Could not instantiate the X. The initialization throw an exception.
opennlp.tools.util.ext.ExtensionNotLoadedException: Unable to find implementation for opennlp.tools.util.BaseToolFactory, the class or service X could not be located!
at opennlp.tools.util.ext.ExtensionLoader.instantiateExtension(ExtensionLoader.java:98)
at opennlp.tools.util.BaseToolFactory.create(BaseToolFactory.java:106)
at opennlp.tools.postag.POSTaggerFactoryTest.testCreateWithInvalidName(POSTaggerFactoryTest.java:117)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:52)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
at org.junit.internal.runners.statements.ExpectException.evaluate(ExpectException.java:19)
at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:365)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeWithRerun(JUnit4Provider.java:273)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:238)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:159)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:379)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:340)
at org.apache.maven.surefire.booter.ForkedBooter.execute(ForkedBooter.java:125)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:413)
Could not instantiate the opennlp.tools.postag.POSTaggerFactoryTest. The initialization throw an exception.
opennlp.tools.util.ext.ExtensionNotLoadedException: Extension class 'opennlp.tools.postag.POSTaggerFactoryTest' needs to have type: opennlp.tools.postag.POSTaggerFactory
at opennlp.tools.util.ext.ExtensionLoader.instantiateExtension(ExtensionLoader.java:72)
at opennlp.tools.postag.POSTaggerFactory.create(POSTaggerFactory.java:231)
at opennlp.tools.postag.POSTaggerFactoryTest.testCreateWithHierarchy2(POSTaggerFactoryTest.java:132)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:52)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
at org.junit.internal.runners.statements.ExpectException.evaluate(ExpectException.java:19)
at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:365)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeWithRerun(JUnit4Provider.java:273)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:238)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:159)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:379)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:340)
at org.apache.maven.surefire.booter.ForkedBooter.execute(ForkedBooter.java:125)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:413)
Indexing events using cutoff of 5
Computing event counts... done. 1607 events
Indexing... done.
Sorting and merging events... done. Reduced 1607 events to 1445.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1445
Number of Outcomes: 31
Number of Predicates: 353
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-5518.4174376075725 0.05289359054138146
2: ... loglikelihood=-3974.566652209835 0.6764156813939017
3: ... loglikelihood=-3164.7194581009126 0.7118855009334163
4: ... loglikelihood=-2687.9334164944376 0.7367766023646546
5: ... loglikelihood=-2370.279658503885 0.7647790914747977
6: ... loglikelihood=-2139.955518769659 0.776602364654636
7: ... loglikelihood=-1963.4794873365595 0.7853142501555694
8: ... loglikelihood=-1823.1031230115175 0.7971375233354075
9: ... loglikelihood=-1708.3449826631863 0.8089607965152458
10: ... loglikelihood=-1612.4979558880798 0.820784069695084
11: ... loglikelihood=-1531.0316706793644 0.8319850653391413
12: ... loglikelihood=-1460.7709814059867 0.8413192283758556
13: ... loglikelihood=-1399.4260128962082 0.8475420037336652
14: ... loglikelihood=-1345.303797846888 0.8512756689483509
15: ... loglikelihood=-1297.1245402561515 0.8556316116988176
16: ... loglikelihood=-1253.901507298765 0.8606098319850654
17: ... loglikelihood=-1214.8605985654854 0.8680771624144369
18: ... loglikelihood=-1179.3851822760892 0.8711885500933416
19: ... loglikelihood=-1146.977394094269 0.8724331051649036
20: ... loglikelihood=-1117.2304171749813 0.8786558805227132
21: ... loglikelihood=-1089.8082536232243 0.879900435594275
22: ... loglikelihood=-1064.4307133125308 0.880522713130056
23: ... loglikelihood=-1040.8621049527271 0.8842563783447418
24: ... loglikelihood=-1018.9025990883036 0.8848786558805227
25: ... loglikelihood=-998.3815492447245 0.8886123210952085
26: ... loglikelihood=-979.1522683253564 0.8904791537025514
27: ... loglikelihood=-961.0879004574982 0.8929682638456752
28: ... loglikelihood=-944.0781272142473 0.896701929060361
29: ... loglikelihood=-928.0265163015675 0.896701929060361
30: ... loglikelihood=-912.8483699356022 0.896701929060361
31: ... loglikelihood=-898.4689654997715 0.9004355942750467
32: ... loglikelihood=-884.8221068341023 0.9016801493466086
33: ... loglikelihood=-871.8489234906266 0.9035469819539514
34: ... loglikelihood=-859.4968694217969 0.9029247044181705
35: ... loglikelihood=-847.7188831971207 0.9029247044181705
36: ... loglikelihood=-836.4726799095529 0.9041692594897324
37: ... loglikelihood=-825.720151109091 0.9047915370255134
38: ... loglikelihood=-815.4268538678787 0.9066583696328563
39: ... loglikelihood=-805.561573789099 0.9072806471686372
40: ... loglikelihood=-796.0959496768007 0.9085252022401992
41: ... loglikelihood=-787.0041498753684 0.9085252022401992
42: ... loglikelihood=-778.2625921064604 0.9085252022401992
43: ... loglikelihood=-769.8497000845189 0.9085252022401992
44: ... loglikelihood=-761.7456913590768 0.909769757311761
45: ... loglikelihood=-753.9323917753323 0.911014312383323
46: ... loglikelihood=-746.3930727099572 0.9128811449906659
47: ... loglikelihood=-739.1123078639754 0.9141257000622277
48: ... loglikelihood=-732.0758469068497 0.9147479775980087
49: ... loglikelihood=-725.27050368779 0.9147479775980087
50: ... loglikelihood=-718.6840570792194 0.9166148102053516
51: ... loglikelihood=-712.3051628072532 0.9166148102053516
52: ... loglikelihood=-706.123274865618 0.9166148102053516
53: ... loglikelihood=-700.1285753118132 0.9172370877411326
54: ... loglikelihood=-694.3119114141045 0.9184816428126945
55: ... loglikelihood=-688.6647392613205 0.9197261978842564
56: ... loglikelihood=-683.1790730684055 0.9203484754200373
57: ... loglikelihood=-677.8474395135767 0.9209707529558183
58: ... loglikelihood=-672.6628365303823 0.9215930304915992
59: ... loglikelihood=-667.6186960525661 0.9215930304915992
60: ... loglikelihood=-662.7088502737012 0.9222153080273802
61: ... loglikelihood=-657.9275010383044 0.924082140634723
62: ... loglikelihood=-653.2691920284506 0.925326695706285
63: ... loglikelihood=-648.7287834506608 0.925326695706285
64: ... loglikelihood=-644.3014289630692 0.925326695706285
65: ... loglikelihood=-639.9825546134655 0.926571250777847
66: ... loglikelihood=-635.7678395854047 0.926571250777847
67: ... loglikelihood=-631.6531985726887 0.926571250777847
68: ... loglikelihood=-627.6347656227413 0.9271935283136279
69: ... loglikelihood=-623.7088793071199 0.9271935283136279
70: ... loglikelihood=-619.8720690928096 0.9271935283136279
71: ... loglikelihood=-616.1210428016851 0.9271935283136279
72: ... loglikelihood=-612.4526750573567 0.9271935283136279
73: ... loglikelihood=-608.8639966293159 0.9271935283136279
74: ... loglikelihood=-605.3521845935101 0.9271935283136279
75: ... loglikelihood=-601.9145532367986 0.9271935283136279
76: ... loglikelihood=-598.548545640018 0.9278158058494088
77: ... loglikelihood=-595.2517258808787 0.9278158058494088
78: ... loglikelihood=-592.0217718037245 0.9278158058494088
79: ... loglikelihood=-588.8564683082562 0.9278158058494088
80: ... loglikelihood=-585.7537011139647 0.9271935283136279
81: ... loglikelihood=-582.7114509610992 0.9271935283136279
82: ... loglikelihood=-579.7277882126275 0.9290603609209708
83: ... loglikelihood=-576.8008678249776 0.9290603609209708
84: ... loglikelihood=-573.9289246582409 0.9296826384567517
85: ... loglikelihood=-571.1102690991944 0.9296826384567517
86: ... loglikelihood=-568.3432829728657 0.9303049159925326
87: ... loglikelihood=-565.6264157205044 0.9309271935283137
88: ... loglikelihood=-562.9581808237349 0.9315494710640946
89: ... loglikelihood=-560.3371524564712 0.9315494710640946
90: ... loglikelihood=-557.7619623476356 0.9315494710640946
91: ... loglikelihood=-555.2312968392846 0.9315494710640946
92: ... loglikelihood=-552.7438941259085 0.9321717485998755
93: ... loglikelihood=-550.2985416619372 0.9327940261356565
94: ... loglikelihood=-547.8940737254808 0.9327940261356565
95: ... loglikelihood=-545.5293691273515 0.9327940261356565
96: ... loglikelihood=-543.2033490552352 0.9327940261356565
97: ... loglikelihood=-540.9149750437439 0.9327940261356565
98: ... loglikelihood=-538.6632470617495 0.9327940261356565
99: ... loglikelihood=-536.4472017091057 0.9327940261356565
100: ... loglikelihood=-534.2659105154505 0.9327940261356565
[INFO] Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.783 s - in opennlp.tools.postag.POSTaggerFactoryTest
[INFO] Running opennlp.tools.postag.POSModelTest
Indexing events using cutoff of 5
Computing event counts... done. 1607 events
Indexing... done.
Collecting events... Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1607
Number of Outcomes: 31
Number of Predicates: 788
Computing model parameters...
Performing 100 iterations.
1: . (1145/1607) 0.7125077784691972
2: . (1416/1607) 0.881144990665837
3: . (1480/1607) 0.9209707529558183
4: . (1506/1607) 0.9371499688861232
5: . (1534/1607) 0.95457373988799
6: . (1557/1607) 0.9688861232109521
7: . (1576/1607) 0.9807093963907902
8: . (1579/1607) 0.9825762289981331
9: . (1586/1607) 0.9869321717485999
10: . (1593/1607) 0.9912881144990666
20: . (1603/1607) 0.9975108898568762
Stopping: change in training set accuracy less than 1.0E-5
Stats: (1605/1607) 0.998755444928438
...done.
Compressed 788 parameters to 761
551 outcome patterns
Indexing events using cutoff of 5
Computing event counts... done. 1607 events
Indexing... done.
Sorting and merging events... done. Reduced 1607 events to 1492.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1492
Number of Outcomes: 31
Number of Predicates: 788
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-5518.417437607561 0.05289359054138146
2: ... loglikelihood=-3204.5165176652313 0.8394523957685127
3: ... loglikelihood=-2257.277328878422 0.879900435594275
4: ... loglikelihood=-1776.1476951107463 0.9047915370255134
5: ... loglikelihood=-1478.8867005932186 0.9247044181705041
6: ... loglikelihood=-1273.7029721347947 0.9359054138145613
7: ... loglikelihood=-1122.2381003035248 0.9446172993154948
8: ... loglikelihood=-1005.3110775773115 0.9527069072806472
9: ... loglikelihood=-912.0861008669425 0.9601742377100186
10: ... loglikelihood=-835.8925478149158 0.9663970130678282
11: ... loglikelihood=-772.3668521638969 0.9682638456751711
12: ... loglikelihood=-718.5259267914173 0.970130678282514
13: ... loglikelihood=-672.2601902815069 0.9738643434971997
14: ... loglikelihood=-632.0359293857786 0.9757311761045426
15: ... loglikelihood=-596.7113228387327 0.9782202862476664
16: ... loglikelihood=-565.4184655204762 0.9807093963907902
17: ... loglikelihood=-537.4854993767232 0.9813316739265713
18: ... loglikelihood=-512.3838930781942 0.9831985065339142
19: ... loglikelihood=-489.69190796907884 0.9863098942128189
20: ... loglikelihood=-469.0687366806068 0.9875544492843809
21: ... loglikelihood=-450.2358402908277 0.9894212818917237
22: ... loglikelihood=-432.96324390373667 0.9912881144990666
23: ... loglikelihood=-417.0593141212322 0.9919103920348475
24: ... loglikelihood=-402.36302497832247 0.9925326695706285
25: ... loglikelihood=-388.73803108953166 0.9925326695706285
26: ... loglikelihood=-376.06807253925473 0.9925326695706285
27: ... loglikelihood=-364.2533742463524 0.9925326695706285
28: ... loglikelihood=-353.20779696796313 0.9931549471064095
29: ... loglikelihood=-342.8565626943162 0.9931549471064095
30: ... loglikelihood=-333.1344234335539 0.9937772246421904
31: ... loglikelihood=-323.9841754578968 0.9937772246421904
32: ... loglikelihood=-315.3554450417458 0.9950217797137524
33: ... loglikelihood=-307.20368928611373 0.9956440572495333
34: ... loglikelihood=-299.48936863851486 0.9962663347853142
35: ... loglikelihood=-292.1772574556196 0.9975108898568762
36: ... loglikelihood=-285.2358663076259 0.9975108898568762
37: ... loglikelihood=-278.63695531872315 0.9975108898568762
38: ... loglikelihood=-272.3551221294579 0.9975108898568762
39: ... loglikelihood=-266.36745138192515 0.9975108898568762
40: ... loglikelihood=-260.6532152073701 0.998755444928438
41: ... loglikelihood=-255.1936162150806 0.998755444928438
42: ... loglikelihood=-249.97156607282918 0.998755444928438
43: ... loglikelihood=-244.97149403128276 0.998755444928438
44: ... loglikelihood=-240.17918075182945 0.998755444928438
45: ... loglikelihood=-235.58161360546342 0.998755444928438
46: ... loglikelihood=-231.1668602626878 0.998755444928438
47: ... loglikelihood=-226.9239579236526 0.998755444928438
48: ... loglikelihood=-222.84281596943202 0.998755444928438
49: ... loglikelihood=-218.91413016914666 0.998755444928438
50: ... loglikelihood=-215.12930686893372 0.998755444928438
51: ... loglikelihood=-211.48039582969972 0.998755444928438
52: ... loglikelihood=-207.96003058068624 0.998755444928438
53: ... loglikelihood=-204.561375322693 0.998755444928438
54: ... loglikelihood=-201.27807755444996 0.998755444928438
55: ... loglikelihood=-198.10422571292924 0.998755444928438
56: ... loglikelihood=-195.034311217239 0.998755444928438
57: ... loglikelihood=-192.06319438935287 0.998755444928438
58: ... loglikelihood=-189.18607379585765 0.998755444928438
59: ... loglikelihood=-186.39845861524242 0.998755444928438
60: ... loglikelihood=-183.69614368675516 0.998755444928438
61: ... loglikelihood=-181.07518694092528 0.998755444928438
62: ... loglikelihood=-178.53188894964543 0.998755444928438
63: ... loglikelihood=-176.06277436625578 0.998755444928438
64: ... loglikelihood=-173.6645750541023 0.998755444928438
65: ... loglikelihood=-171.33421472630278 0.998755444928438
66: ... loglikelihood=-169.06879494045663 0.998755444928438
67: ... loglikelihood=-166.8655823102896 0.998755444928438
68: ... loglikelihood=-164.72199681209835 0.998755444928438
69: ... loglikelihood=-162.63560107770508 0.998755444928438
70: ... loglikelihood=-160.60409057775897 0.9993777224642191
71: ... loglikelihood=-158.62528460979502 0.9993777224642191
72: ... loglikelihood=-156.69711801478968 0.9993777224642191
73: ... loglikelihood=-154.81763355410496 0.9993777224642191
74: ... loglikelihood=-152.98497488593424 0.9993777224642191
75: ... loglikelihood=-151.19738008671212 0.9993777224642191
76: ... loglikelihood=-149.45317566856164 0.9993777224642191
77: ... loglikelihood=-147.75077104882527 0.9993777224642191
78: ... loglikelihood=-146.088653432149 0.9993777224642191
79: ... loglikelihood=-144.46538306948707 0.9993777224642191
80: ... loglikelihood=-142.8795888618908 0.9993777224642191
81: ... loglikelihood=-141.32996428004608 0.9993777224642191
82: ... loglikelihood=-139.815263573301 0.9993777224642191
83: ... loglikelihood=-138.33429824438508 0.9993777224642191
84: ... loglikelihood=-136.88593376825858 0.9993777224642191
85: ... loglikelihood=-135.46908653549434 0.9993777224642191
86: ... loglikelihood=-134.08272100239762 0.9993777224642191
87: ... loglikelihood=-132.72584703165055 0.9993777224642191
88: ... loglikelihood=-131.39751740872 0.9993777224642191
89: ... loglikelihood=-130.0968255205654 0.9993777224642191
90: ... loglikelihood=-128.82290318434542 0.9993777224642191
91: ... loglikelihood=-127.57491861488738 0.9993777224642191
92: ... loglikelihood=-126.35207452063322 0.9993777224642191
93: ... loglikelihood=-125.15360631864574 0.9993777224642191
94: ... loglikelihood=-123.97878046003459 0.9993777224642191
95: ... loglikelihood=-122.8268928578844 0.9993777224642191
96: ... loglikelihood=-121.69726741039761 0.9993777224642191
97: ... loglikelihood=-120.5892546125656 0.9993777224642191
98: ... loglikelihood=-119.50223025020776 0.9993777224642191
99: ... loglikelihood=-118.43559417070686 0.9993777224642191
100: ... loglikelihood=-117.38876912521006 0.9993777224642191
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.665 s - in opennlp.tools.postag.POSModelTest
[INFO] Running opennlp.tools.postag.POSSampleTest
[INFO] Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.postag.POSSampleTest
[INFO] Running opennlp.tools.postag.POSSampleEventStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.postag.POSSampleEventStreamTest
[INFO] Running opennlp.tools.postag.POSDictionaryTest
[INFO] Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 s - in opennlp.tools.postag.POSDictionaryTest
[INFO] Running opennlp.tools.postag.WordTagSampleStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.postag.WordTagSampleStreamTest
[INFO] Running opennlp.tools.postag.POSTaggerMETest
Indexing events using cutoff of 5
Computing event counts... done. 1607 events
Indexing... done.
Sorting and merging events... done. Reduced 1607 events to 1492.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1492
Number of Outcomes: 31
Number of Predicates: 788
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-5518.417437607561 0.05289359054138146
2: ... loglikelihood=-3204.5165176652313 0.8394523957685127
3: ... loglikelihood=-2257.277328878422 0.879900435594275
4: ... loglikelihood=-1776.1476951107463 0.9047915370255134
5: ... loglikelihood=-1478.8867005932186 0.9247044181705041
6: ... loglikelihood=-1273.7029721347947 0.9359054138145613
7: ... loglikelihood=-1122.2381003035248 0.9446172993154948
8: ... loglikelihood=-1005.3110775773115 0.9527069072806472
9: ... loglikelihood=-912.0861008669425 0.9601742377100186
10: ... loglikelihood=-835.8925478149158 0.9663970130678282
11: ... loglikelihood=-772.3668521638969 0.9682638456751711
12: ... loglikelihood=-718.5259267914173 0.970130678282514
13: ... loglikelihood=-672.2601902815069 0.9738643434971997
14: ... loglikelihood=-632.0359293857786 0.9757311761045426
15: ... loglikelihood=-596.7113228387327 0.9782202862476664
16: ... loglikelihood=-565.4184655204762 0.9807093963907902
17: ... loglikelihood=-537.4854993767232 0.9813316739265713
18: ... loglikelihood=-512.3838930781942 0.9831985065339142
19: ... loglikelihood=-489.69190796907884 0.9863098942128189
20: ... loglikelihood=-469.0687366806068 0.9875544492843809
21: ... loglikelihood=-450.2358402908277 0.9894212818917237
22: ... loglikelihood=-432.96324390373667 0.9912881144990666
23: ... loglikelihood=-417.0593141212322 0.9919103920348475
24: ... loglikelihood=-402.36302497832247 0.9925326695706285
25: ... loglikelihood=-388.73803108953166 0.9925326695706285
26: ... loglikelihood=-376.06807253925473 0.9925326695706285
27: ... loglikelihood=-364.2533742463524 0.9925326695706285
28: ... loglikelihood=-353.20779696796313 0.9931549471064095
29: ... loglikelihood=-342.8565626943162 0.9931549471064095
30: ... loglikelihood=-333.1344234335539 0.9937772246421904
31: ... loglikelihood=-323.9841754578968 0.9937772246421904
32: ... loglikelihood=-315.3554450417458 0.9950217797137524
33: ... loglikelihood=-307.20368928611373 0.9956440572495333
34: ... loglikelihood=-299.48936863851486 0.9962663347853142
35: ... loglikelihood=-292.1772574556196 0.9975108898568762
36: ... loglikelihood=-285.2358663076259 0.9975108898568762
37: ... loglikelihood=-278.63695531872315 0.9975108898568762
38: ... loglikelihood=-272.3551221294579 0.9975108898568762
39: ... loglikelihood=-266.36745138192515 0.9975108898568762
40: ... loglikelihood=-260.6532152073701 0.998755444928438
41: ... loglikelihood=-255.1936162150806 0.998755444928438
42: ... loglikelihood=-249.97156607282918 0.998755444928438
43: ... loglikelihood=-244.97149403128276 0.998755444928438
44: ... loglikelihood=-240.17918075182945 0.998755444928438
45: ... loglikelihood=-235.58161360546342 0.998755444928438
46: ... loglikelihood=-231.1668602626878 0.998755444928438
47: ... loglikelihood=-226.9239579236526 0.998755444928438
48: ... loglikelihood=-222.84281596943202 0.998755444928438
49: ... loglikelihood=-218.91413016914666 0.998755444928438
50: ... loglikelihood=-215.12930686893372 0.998755444928438
51: ... loglikelihood=-211.48039582969972 0.998755444928438
52: ... loglikelihood=-207.96003058068624 0.998755444928438
53: ... loglikelihood=-204.561375322693 0.998755444928438
54: ... loglikelihood=-201.27807755444996 0.998755444928438
55: ... loglikelihood=-198.10422571292924 0.998755444928438
56: ... loglikelihood=-195.034311217239 0.998755444928438
57: ... loglikelihood=-192.06319438935287 0.998755444928438
58: ... loglikelihood=-189.18607379585765 0.998755444928438
59: ... loglikelihood=-186.39845861524242 0.998755444928438
60: ... loglikelihood=-183.69614368675516 0.998755444928438
61: ... loglikelihood=-181.07518694092528 0.998755444928438
62: ... loglikelihood=-178.53188894964543 0.998755444928438
63: ... loglikelihood=-176.06277436625578 0.998755444928438
64: ... loglikelihood=-173.6645750541023 0.998755444928438
65: ... loglikelihood=-171.33421472630278 0.998755444928438
66: ... loglikelihood=-169.06879494045663 0.998755444928438
67: ... loglikelihood=-166.8655823102896 0.998755444928438
68: ... loglikelihood=-164.72199681209835 0.998755444928438
69: ... loglikelihood=-162.63560107770508 0.998755444928438
70: ... loglikelihood=-160.60409057775897 0.9993777224642191
71: ... loglikelihood=-158.62528460979502 0.9993777224642191
72: ... loglikelihood=-156.69711801478968 0.9993777224642191
73: ... loglikelihood=-154.81763355410496 0.9993777224642191
74: ... loglikelihood=-152.98497488593424 0.9993777224642191
75: ... loglikelihood=-151.19738008671212 0.9993777224642191
76: ... loglikelihood=-149.45317566856164 0.9993777224642191
77: ... loglikelihood=-147.75077104882527 0.9993777224642191
78: ... loglikelihood=-146.088653432149 0.9993777224642191
79: ... loglikelihood=-144.46538306948707 0.9993777224642191
80: ... loglikelihood=-142.8795888618908 0.9993777224642191
81: ... loglikelihood=-141.32996428004608 0.9993777224642191
82: ... loglikelihood=-139.815263573301 0.9993777224642191
83: ... loglikelihood=-138.33429824438508 0.9993777224642191
84: ... loglikelihood=-136.88593376825858 0.9993777224642191
85: ... loglikelihood=-135.46908653549434 0.9993777224642191
86: ... loglikelihood=-134.08272100239762 0.9993777224642191
87: ... loglikelihood=-132.72584703165055 0.9993777224642191
88: ... loglikelihood=-131.39751740872 0.9993777224642191
89: ... loglikelihood=-130.0968255205654 0.9993777224642191
90: ... loglikelihood=-128.82290318434542 0.9993777224642191
91: ... loglikelihood=-127.57491861488738 0.9993777224642191
92: ... loglikelihood=-126.35207452063322 0.9993777224642191
93: ... loglikelihood=-125.15360631864574 0.9993777224642191
94: ... loglikelihood=-123.97878046003459 0.9993777224642191
95: ... loglikelihood=-122.8268928578844 0.9993777224642191
96: ... loglikelihood=-121.69726741039761 0.9993777224642191
97: ... loglikelihood=-120.5892546125656 0.9993777224642191
98: ... loglikelihood=-119.50223025020776 0.9993777224642191
99: ... loglikelihood=-118.43559417070686 0.9993777224642191
100: ... loglikelihood=-117.38876912521006 0.9993777224642191
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.437 s - in opennlp.tools.postag.POSTaggerMETest
[INFO] Running opennlp.tools.util.SequenceTest
[INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.util.SequenceTest
[INFO] Running opennlp.tools.util.eval.MeanTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.util.eval.MeanTest
[INFO] Running opennlp.tools.util.eval.FMeasureTest
[INFO] Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.util.eval.FMeasureTest
[INFO] Running opennlp.tools.util.eval.CrossValidationPartitionerTest
[INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.util.eval.CrossValidationPartitionerTest
[INFO] Running opennlp.tools.util.ext.ExtensionLoaderTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.util.ext.ExtensionLoaderTest
[INFO] Running opennlp.tools.util.StringUtilTest
[INFO] Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.util.StringUtilTest
[INFO] Running opennlp.tools.util.StringListTest
[INFO] Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.util.StringListTest
[INFO] Running opennlp.tools.util.PlainTextByLineStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.util.PlainTextByLineStreamTest
[INFO] Running opennlp.tools.util.VersionTest
[INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.util.VersionTest
[INFO] Running opennlp.tools.util.SpanTest
[INFO] Tests run: 23, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.util.SpanTest
[INFO] Running opennlp.tools.util.BeamSearchTest
[INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.util.BeamSearchTest
[INFO] Running opennlp.tools.util.ParagraphStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.util.ParagraphStreamTest
[INFO] Running opennlp.tools.util.ListHeapTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.util.ListHeapTest
[INFO] Running opennlp.tools.util.AbstractEventStreamTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.util.AbstractEventStreamTest
[INFO] Running opennlp.tools.util.featuregen.StringPatternTest
[INFO] Tests run: 12, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.util.featuregen.StringPatternTest
[INFO] Running opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorTest
[INFO] Running opennlp.tools.util.featuregen.GeneratorFactoryTest
[INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.009 s - in opennlp.tools.util.featuregen.GeneratorFactoryTest
[INFO] Running opennlp.tools.util.featuregen.CachedFeatureGeneratorTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.util.featuregen.CachedFeatureGeneratorTest
[INFO] Running opennlp.tools.util.featuregen.WindowFeatureGeneratorTest
[INFO] Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.util.featuregen.WindowFeatureGeneratorTest
[INFO] Running opennlp.tools.tokenize.DictionaryDetokenizerTest
[INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.tokenize.DictionaryDetokenizerTest
[INFO] Running opennlp.tools.tokenize.DetokenizationDictionaryTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.tokenize.DetokenizationDictionaryTest
[INFO] Running opennlp.tools.tokenize.TokenizerEvaluatorTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.tokenize.TokenizerEvaluatorTest
[INFO] Running opennlp.tools.tokenize.TokenizerModelTest
Indexing events using cutoff of 5
Computing event counts... done. 9 events
Indexing... done.
Sorting and merging events... done. Reduced 9 events to 3.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 3
Number of Outcomes: 2
Number of Predicates: 3
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-6.238324625039507 0.6666666666666666
2: ... loglikelihood=-5.377324417208031 0.6666666666666666
3: ... loglikelihood=-4.9066197366111775 0.6666666666666666
4: ... loglikelihood=-4.53722487007276 0.6666666666666666
5: ... loglikelihood=-4.22749588245798 0.6666666666666666
6: ... loglikelihood=-3.9626618948713865 1.0
7: ... loglikelihood=-3.733376095316968 1.0
8: ... loglikelihood=-3.532751528906919 1.0
9: ... loglikelihood=-3.3555353500804617 1.0
10: ... loglikelihood=-3.197661861645238 1.0
11: ... loglikelihood=-3.0559474364241277 1.0
12: ... loglikelihood=-2.927871405247504 1.0
13: ... loglikelihood=-2.8114164021112753 1.0
14: ... loglikelihood=-2.7049510036656095 1.0
15: ... loglikelihood=-2.6071427223920116 1.0
16: ... loglikelihood=-2.5168929266419573 1.0
17: ... loglikelihood=-2.433287712099888 1.0
18: ... loglikelihood=-2.3555604683987896 1.0
19: ... loglikelihood=-2.283063091997129 1.0
20: ... loglikelihood=-2.2152436465904186 1.0
21: ... loglikelihood=-2.1516288735433644 1.0
22: ... loglikelihood=-2.091810382405341 1.0
23: ... loglikelihood=-2.035433657682691 1.0
24: ... loglikelihood=-1.982189238786562 1.0
25: ... loglikelihood=-1.9318055904768312 1.0
26: ... loglikelihood=-1.8840432985874902 1.0
27: ... loglikelihood=-1.838690312515866 1.0
28: ... loglikelihood=-1.7955580204449029 1.0
29: ... loglikelihood=-1.754477991602411 1.0
30: ... loglikelihood=-1.7152992563609328 1.0
31: ... loglikelihood=-1.677886022745907 1.0
32: ... loglikelihood=-1.642115749188429 1.0
33: ... loglikelihood=-1.6078775097635005 1.0
34: ... loglikelihood=-1.5750706008913227 1.0
35: ... loglikelihood=-1.5436033484313418 1.0
36: ... loglikelihood=-1.5133920819229394 1.0
37: ... loglikelihood=-1.4843602489145136 1.0
38: ... loglikelihood=-1.4564376472442455 1.0
39: ... loglikelihood=-1.4295597570719263 1.0
40: ... loglikelihood=-1.4036671576256892 1.0
41: ... loglikelihood=-1.3787050161846583 1.0
42: ... loglikelihood=-1.3546226388950844 1.0
43: ... loglikelihood=-1.3313730747116987 1.0
44: ... loglikelihood=-1.308912765144611 1.0
45: ... loglikelihood=-1.2872012336350878 1.0
46: ... loglikelihood=-1.2662008093284842 1.0
47: ... loglikelihood=-1.245876380796848 1.0
48: ... loglikelihood=-1.226195175917302 1.0
49: ... loglikelihood=-1.2071265646589133 1.0
50: ... loglikelihood=-1.1886418819896574 1.0
51: ... loglikelihood=-1.1707142685016956 1.0
52: ... loglikelihood=-1.1533185266799335 1.0
53: ... loglikelihood=-1.136430991016011 1.0
54: ... loglikelihood=-1.1200294104056088 1.0
55: ... loglikelihood=-1.1040928414681952 1.0
56: ... loglikelihood=-1.088601551600554 1.0
57: ... loglikelihood=-1.0735369307232068 1.0
58: ... loglikelihood=-1.0588814108061335 1.0
59: ... loglikelihood=-1.0446183923699506 1.0
60: ... loglikelihood=-1.030732177253733 1.0
61: ... loglikelihood=-1.0172079070230886 1.0
62: ... loglikelihood=-1.004031506463717 1.0
63: ... loglikelihood=-0.9911896316681985 1.0
64: ... loglikelihood=-0.9786696222782656 1.0
65: ... loglikelihood=-0.966459457492615 1.0
66: ... loglikelihood=-0.9545477154922213 1.0
67: ... loglikelihood=-0.9429235359719476 1.0
68: ... loglikelihood=-0.9315765854997256 1.0
69: ... loglikelihood=-0.9204970254532392 1.0
70: ... loglikelihood=-0.9096754823093569 1.0
71: ... loglikelihood=-0.899103020084042 1.0
72: ... loglikelihood=-0.8887711147403865 1.0
73: ... loglikelihood=-0.8786716304001243 1.0
74: ... loglikelihood=-0.8687967972097779 1.0
75: ... loglikelihood=-0.859139190726651 1.0
76: ... loglikelihood=-0.8496917127024877 1.0
77: ... loglikelihood=-0.8404475731538352 1.0
78: ... loglikelihood=-0.8314002736182865 1.0
79: ... loglikelihood=-0.8225435915047786 1.0
80: ... loglikelihood=-0.81387156545433 1.0
81: ... loglikelihood=-0.8053784816348564 1.0
82: ... loglikelihood=-0.7970588609003644 1.0
83: ... loglikelihood=-0.7889074467507622 1.0
84: ... loglikelihood=-0.7809191940339042 1.0
85: ... loglikelihood=-0.7730892583363782 1.0
86: ... loglikelihood=-0.7654129860139534 1.0
87: ... loglikelihood=-0.7578859048166006 1.0
88: ... loglikelihood=-0.7505037150666631 1.0
89: ... loglikelihood=-0.7432622813520218 1.0
90: ... loglikelihood=-0.7361576246991501 1.0
91: ... loglikelihood=-0.7291859151936666 1.0
92: ... loglikelihood=-0.7223434650184992 1.0
93: ... loglikelihood=-0.7156267218820761 1.0
94: ... loglikelihood=-0.7090322628110229 1.0
95: ... loglikelihood=-0.7025567882837676 1.0
96: ... loglikelihood=-0.6961971166831948 1.0
97: ... loglikelihood=-0.6899501790481115 1.0
98: ... loglikelihood=-0.6838130141047241 1.0
99: ... loglikelihood=-0.6777827635607121 1.0
100: ... loglikelihood=-0.6718566676457055 1.0
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.027 s - in opennlp.tools.tokenize.TokenizerModelTest
[INFO] Running opennlp.tools.tokenize.SimpleTokenizerTest
[INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.tokenize.SimpleTokenizerTest
[INFO] Running opennlp.tools.tokenize.TokenizerMETest
Indexing events using cutoff of 5
Computing event counts... done. 9 events
Indexing... done.
Sorting and merging events... done. Reduced 9 events to 3.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 3
Number of Outcomes: 2
Number of Predicates: 3
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-6.238324625039507 0.6666666666666666
2: ... loglikelihood=-5.377324417208031 0.6666666666666666
3: ... loglikelihood=-4.9066197366111775 0.6666666666666666
4: ... loglikelihood=-4.53722487007276 0.6666666666666666
5: ... loglikelihood=-4.22749588245798 0.6666666666666666
6: ... loglikelihood=-3.9626618948713865 1.0
7: ... loglikelihood=-3.733376095316968 1.0
8: ... loglikelihood=-3.532751528906919 1.0
9: ... loglikelihood=-3.3555353500804617 1.0
10: ... loglikelihood=-3.197661861645238 1.0
11: ... loglikelihood=-3.0559474364241277 1.0
12: ... loglikelihood=-2.927871405247504 1.0
13: ... loglikelihood=-2.8114164021112753 1.0
14: ... loglikelihood=-2.7049510036656095 1.0
15: ... loglikelihood=-2.6071427223920116 1.0
16: ... loglikelihood=-2.5168929266419573 1.0
17: ... loglikelihood=-2.433287712099888 1.0
18: ... loglikelihood=-2.3555604683987896 1.0
19: ... loglikelihood=-2.283063091997129 1.0
20: ... loglikelihood=-2.2152436465904186 1.0
21: ... loglikelihood=-2.1516288735433644 1.0
22: ... loglikelihood=-2.091810382405341 1.0
23: ... loglikelihood=-2.035433657682691 1.0
24: ... loglikelihood=-1.982189238786562 1.0
25: ... loglikelihood=-1.9318055904768312 1.0
26: ... loglikelihood=-1.8840432985874902 1.0
27: ... loglikelihood=-1.838690312515866 1.0
28: ... loglikelihood=-1.7955580204449029 1.0
29: ... loglikelihood=-1.754477991602411 1.0
30: ... loglikelihood=-1.7152992563609328 1.0
31: ... loglikelihood=-1.677886022745907 1.0
32: ... loglikelihood=-1.642115749188429 1.0
33: ... loglikelihood=-1.6078775097635005 1.0
34: ... loglikelihood=-1.5750706008913227 1.0
35: ... loglikelihood=-1.5436033484313418 1.0
36: ... loglikelihood=-1.5133920819229394 1.0
37: ... loglikelihood=-1.4843602489145136 1.0
38: ... loglikelihood=-1.4564376472442455 1.0
39: ... loglikelihood=-1.4295597570719263 1.0
40: ... loglikelihood=-1.4036671576256892 1.0
41: ... loglikelihood=-1.3787050161846583 1.0
42: ... loglikelihood=-1.3546226388950844 1.0
43: ... loglikelihood=-1.3313730747116987 1.0
44: ... loglikelihood=-1.308912765144611 1.0
45: ... loglikelihood=-1.2872012336350878 1.0
46: ... loglikelihood=-1.2662008093284842 1.0
47: ... loglikelihood=-1.245876380796848 1.0
48: ... loglikelihood=-1.226195175917302 1.0
49: ... loglikelihood=-1.2071265646589133 1.0
50: ... loglikelihood=-1.1886418819896574 1.0
51: ... loglikelihood=-1.1707142685016956 1.0
52: ... loglikelihood=-1.1533185266799335 1.0
53: ... loglikelihood=-1.136430991016011 1.0
54: ... loglikelihood=-1.1200294104056088 1.0
55: ... loglikelihood=-1.1040928414681952 1.0
56: ... loglikelihood=-1.088601551600554 1.0
57: ... loglikelihood=-1.0735369307232068 1.0
58: ... loglikelihood=-1.0588814108061335 1.0
59: ... loglikelihood=-1.0446183923699506 1.0
60: ... loglikelihood=-1.030732177253733 1.0
61: ... loglikelihood=-1.0172079070230886 1.0
62: ... loglikelihood=-1.004031506463717 1.0
63: ... loglikelihood=-0.9911896316681985 1.0
64: ... loglikelihood=-0.9786696222782656 1.0
65: ... loglikelihood=-0.966459457492615 1.0
66: ... loglikelihood=-0.9545477154922213 1.0
67: ... loglikelihood=-0.9429235359719476 1.0
68: ... loglikelihood=-0.9315765854997256 1.0
69: ... loglikelihood=-0.9204970254532392 1.0
70: ... loglikelihood=-0.9096754823093569 1.0
71: ... loglikelihood=-0.899103020084042 1.0
72: ... loglikelihood=-0.8887711147403865 1.0
73: ... loglikelihood=-0.8786716304001243 1.0
74: ... loglikelihood=-0.8687967972097779 1.0
75: ... loglikelihood=-0.859139190726651 1.0
76: ... loglikelihood=-0.8496917127024877 1.0
77: ... loglikelihood=-0.8404475731538352 1.0
78: ... loglikelihood=-0.8314002736182865 1.0
79: ... loglikelihood=-0.8225435915047786 1.0
80: ... loglikelihood=-0.81387156545433 1.0
81: ... loglikelihood=-0.8053784816348564 1.0
82: ... loglikelihood=-0.7970588609003644 1.0
83: ... loglikelihood=-0.7889074467507622 1.0
84: ... loglikelihood=-0.7809191940339042 1.0
85: ... loglikelihood=-0.7730892583363782 1.0
86: ... loglikelihood=-0.7654129860139534 1.0
87: ... loglikelihood=-0.7578859048166006 1.0
88: ... loglikelihood=-0.7505037150666631 1.0
89: ... loglikelihood=-0.7432622813520218 1.0
90: ... loglikelihood=-0.7361576246991501 1.0
91: ... loglikelihood=-0.7291859151936666 1.0
92: ... loglikelihood=-0.7223434650184992 1.0
93: ... loglikelihood=-0.7156267218820761 1.0
94: ... loglikelihood=-0.7090322628110229 1.0
95: ... loglikelihood=-0.7025567882837676 1.0
96: ... loglikelihood=-0.6961971166831948 1.0
97: ... loglikelihood=-0.6899501790481115 1.0
98: ... loglikelihood=-0.6838130141047241 1.0
99: ... loglikelihood=-0.6777827635607121 1.0
100: ... loglikelihood=-0.6718566676457055 1.0
Indexing events using cutoff of 5
Computing event counts... done. 1655 events
Indexing... done.
Sorting and merging events... done. Reduced 1655 events to 1222.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1222
Number of Outcomes: 2
Number of Predicates: 527
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-1147.1585838266783 0.8507552870090634
2: ... loglikelihood=-491.76052223590256 0.9492447129909366
3: ... loglikelihood=-309.5707578652767 0.9776435045317221
4: ... loglikelihood=-225.7470439116358 0.9842900302114803
5: ... loglikelihood=-179.01677240575953 0.9861027190332327
6: ... loglikelihood=-149.89095289167759 0.9867069486404834
7: ... loglikelihood=-130.19108546835008 0.9867069486404834
8: ... loglikelihood=-115.99957850561441 0.9867069486404834
9: ... loglikelihood=-105.26427161709918 0.9867069486404834
10: ... loglikelihood=-96.83101965628587 0.9867069486404834
11: ... loglikelihood=-90.00993084280053 0.9873111782477342
12: ... loglikelihood=-84.36557962443324 0.9879154078549849
13: ... loglikelihood=-79.6094422477418 0.9885196374622357
14: ... loglikelihood=-75.54202747890797 0.9891238670694864
15: ... loglikelihood=-72.02035226600596 0.9897280966767371
16: ... loglikelihood=-68.93885699699365 0.9897280966767371
17: ... loglikelihood=-66.21771129490499 0.9897280966767371
18: ... loglikelihood=-63.79534130976562 0.9897280966767371
19: ... loglikelihood=-61.62346796520013 0.9915407854984895
20: ... loglikelihood=-59.663701426935205 0.992749244712991
21: ... loglikelihood=-57.88513835540812 0.992749244712991
22: ... loglikelihood=-56.262627985499094 0.992749244712991
23: ... loglikelihood=-54.77549745038076 0.992749244712991
24: ... loglikelihood=-53.40660005265463 0.992749244712991
25: ... loglikelihood=-52.14159510085972 0.992749244712991
26: ... loglikelihood=-50.96839648113822 0.992749244712991
27: ... loglikelihood=-49.87674587144291 0.992749244712991
28: ... loglikelihood=-48.8578791335719 0.9933534743202417
29: ... loglikelihood=-47.90426311444106 0.9933534743202417
30: ... loglikelihood=-47.00938618202908 0.9933534743202417
31: ... loglikelihood=-46.16759015358615 0.9939577039274925
32: ... loglikelihood=-45.37393439073047 0.9939577039274925
33: ... loglikelihood=-44.62408510256267 0.9939577039274925
34: ... loglikelihood=-43.91422456173075 0.9939577039274925
35: ... loglikelihood=-43.2409761706325 0.9939577039274925
36: ... loglikelihood=-42.60134223529995 0.9939577039274925
37: ... loglikelihood=-41.99265199753306 0.9939577039274925
38: ... loglikelihood=-41.412518001813524 0.9939577039274925
39: ... loglikelihood=-40.85879927578492 0.9939577039274925
40: ... loglikelihood=-40.32957011302178 0.9939577039274925
41: ... loglikelihood=-39.82309348734473 0.9939577039274925
42: ... loglikelihood=-39.3377983159132 0.9939577039274925
43: ... loglikelihood=-38.87225993621338 0.9939577039274925
44: ... loglikelihood=-38.42518327915138 0.9939577039274925
45: ... loglikelihood=-37.99538831374505 0.9939577039274925
46: ... loglikelihood=-37.58179741365252 0.9939577039274925
47: ... loglikelihood=-37.18342435600778 0.9939577039274925
48: ... loglikelihood=-36.799364711818534 0.9939577039274925
49: ... loglikelihood=-36.428787426901145 0.9939577039274925
50: ... loglikelihood=-36.07092742481803 0.9939577039274925
51: ... loglikelihood=-35.72507908997822 0.9939577039274925
52: ... loglikelihood=-35.39059051109664 0.9939577039274925
53: ... loglikelihood=-35.06685838346307 0.9939577039274925
54: ... loglikelihood=-34.75332348366227 0.9939577039274925
55: ... loglikelihood=-34.44946664306823 0.9939577039274925
56: ... loglikelihood=-34.15480515706276 0.9939577039274925
57: ... loglikelihood=-33.868889575868714 0.9939577039274925
58: ... loglikelihood=-33.59130083042396 0.9939577039274925
59: ... loglikelihood=-33.321647653102296 0.9939577039274925
60: ... loglikelihood=-33.05956425850591 0.9939577039274925
61: ... loglikelihood=-32.80470825416008 0.9939577039274925
62: ... loglikelihood=-32.55675875487812 0.9939577039274925
63: ... loglikelihood=-32.31541467793097 0.9939577039274925
64: ... loglikelihood=-32.08039319904749 0.9939577039274925
65: ... loglikelihood=-31.851428351756212 0.9939577039274925
66: ... loglikelihood=-31.62826975472398 0.9939577039274925
67: ... loglikelihood=-31.410681453600194 0.9939577039274925
68: ... loglikelihood=-31.198440865479128 0.9939577039274925
69: ... loglikelihood=-30.991337815489572 0.9939577039274925
70: ... loglikelihood=-30.78917365622877 0.9939577039274925
71: ... loglikelihood=-30.59176046182047 0.9939577039274925
72: ... loglikelihood=-30.39892028929489 0.9939577039274925
73: ... loglikelihood=-30.210484500800824 0.9939577039274925
74: ... loglikelihood=-30.026293140865526 0.9939577039274925
75: ... loglikelihood=-29.846194363544367 0.9939577039274925
76: ... loglikelihood=-29.67004390484621 0.9939577039274925
77: ... loglikelihood=-29.49770459630644 0.9939577039274925
78: ... loglikelihood=-29.329045916006507 0.9939577039274925
79: ... loglikelihood=-29.163943573713148 0.9939577039274925
80: ... loglikelihood=-29.00227912714952 0.9939577039274925
81: ... loglikelihood=-28.843939626703776 0.9939577039274925
82: ... loglikelihood=-28.688817286146058 0.9939577039274925
83: ... loglikelihood=-28.536809177160208 0.9939577039274925
84: ... loglikelihood=-28.38781694570488 0.9939577039274925
85: ... loglikelihood=-28.241746548407196 0.9939577039274925
86: ... loglikelihood=-28.098508007358415 0.9939577039274925
87: ... loglikelihood=-27.958015181831318 0.9939577039274925
88: ... loglikelihood=-27.820185555574007 0.9939577039274925
89: ... loglikelihood=-27.684940038454354 0.9939577039274925
90: ... loglikelihood=-27.552202781339435 0.9939577039274925
91: ... loglikelihood=-27.421901003190545 0.9945619335347432
92: ... loglikelihood=-27.293964829444025 0.9945619335347432
93: ... loglikelihood=-27.168327140827063 0.9945619335347432
94: ... loglikelihood=-27.04492343182919 0.9945619335347432
95: ... loglikelihood=-26.923691678116462 0.9945619335347432
96: ... loglikelihood=-26.80457221223384 0.9945619335347432
97: ... loglikelihood=-26.68750760699488 0.9945619335347432
98: ... loglikelihood=-26.572442566006774 0.9945619335347432
99: ... loglikelihood=-26.459323820822625 0.9945619335347432
100: ... loglikelihood=-26.34810003425436 0.9945619335347432
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.15 s - in opennlp.tools.tokenize.TokenizerMETest
[INFO] Running opennlp.tools.tokenize.TokenizerFactoryTest
Indexing events using cutoff of 5
Computing event counts... done. 1655 events
Indexing... done.
Sorting and merging events... done. Reduced 1655 events to 1222.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1222
Number of Outcomes: 2
Number of Predicates: 527
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-1147.1585838266783 0.8507552870090634
2: ... loglikelihood=-491.76052223590256 0.9492447129909366
3: ... loglikelihood=-309.5707578652767 0.9776435045317221
4: ... loglikelihood=-225.7470439116358 0.9842900302114803
5: ... loglikelihood=-179.01677240575953 0.9861027190332327
6: ... loglikelihood=-149.89095289167759 0.9867069486404834
7: ... loglikelihood=-130.19108546835008 0.9867069486404834
8: ... loglikelihood=-115.99957850561441 0.9867069486404834
9: ... loglikelihood=-105.26427161709918 0.9867069486404834
10: ... loglikelihood=-96.83101965628587 0.9867069486404834
11: ... loglikelihood=-90.00993084280053 0.9873111782477342
12: ... loglikelihood=-84.36557962443324 0.9879154078549849
13: ... loglikelihood=-79.6094422477418 0.9885196374622357
14: ... loglikelihood=-75.54202747890797 0.9891238670694864
15: ... loglikelihood=-72.02035226600596 0.9897280966767371
16: ... loglikelihood=-68.93885699699365 0.9897280966767371
17: ... loglikelihood=-66.21771129490499 0.9897280966767371
18: ... loglikelihood=-63.79534130976562 0.9897280966767371
19: ... loglikelihood=-61.62346796520013 0.9915407854984895
20: ... loglikelihood=-59.663701426935205 0.992749244712991
21: ... loglikelihood=-57.88513835540812 0.992749244712991
22: ... loglikelihood=-56.262627985499094 0.992749244712991
23: ... loglikelihood=-54.77549745038076 0.992749244712991
24: ... loglikelihood=-53.40660005265463 0.992749244712991
25: ... loglikelihood=-52.14159510085972 0.992749244712991
26: ... loglikelihood=-50.96839648113822 0.992749244712991
27: ... loglikelihood=-49.87674587144291 0.992749244712991
28: ... loglikelihood=-48.8578791335719 0.9933534743202417
29: ... loglikelihood=-47.90426311444106 0.9933534743202417
30: ... loglikelihood=-47.00938618202908 0.9933534743202417
31: ... loglikelihood=-46.16759015358615 0.9939577039274925
32: ... loglikelihood=-45.37393439073047 0.9939577039274925
33: ... loglikelihood=-44.62408510256267 0.9939577039274925
34: ... loglikelihood=-43.91422456173075 0.9939577039274925
35: ... loglikelihood=-43.2409761706325 0.9939577039274925
36: ... loglikelihood=-42.60134223529995 0.9939577039274925
37: ... loglikelihood=-41.99265199753306 0.9939577039274925
38: ... loglikelihood=-41.412518001813524 0.9939577039274925
39: ... loglikelihood=-40.85879927578492 0.9939577039274925
40: ... loglikelihood=-40.32957011302178 0.9939577039274925
41: ... loglikelihood=-39.82309348734473 0.9939577039274925
42: ... loglikelihood=-39.3377983159132 0.9939577039274925
43: ... loglikelihood=-38.87225993621338 0.9939577039274925
44: ... loglikelihood=-38.42518327915138 0.9939577039274925
45: ... loglikelihood=-37.99538831374505 0.9939577039274925
46: ... loglikelihood=-37.58179741365252 0.9939577039274925
47: ... loglikelihood=-37.18342435600778 0.9939577039274925
48: ... loglikelihood=-36.799364711818534 0.9939577039274925
49: ... loglikelihood=-36.428787426901145 0.9939577039274925
50: ... loglikelihood=-36.07092742481803 0.9939577039274925
51: ... loglikelihood=-35.72507908997822 0.9939577039274925
52: ... loglikelihood=-35.39059051109664 0.9939577039274925
53: ... loglikelihood=-35.06685838346307 0.9939577039274925
54: ... loglikelihood=-34.75332348366227 0.9939577039274925
55: ... loglikelihood=-34.44946664306823 0.9939577039274925
56: ... loglikelihood=-34.15480515706276 0.9939577039274925
57: ... loglikelihood=-33.868889575868714 0.9939577039274925
58: ... loglikelihood=-33.59130083042396 0.9939577039274925
59: ... loglikelihood=-33.321647653102296 0.9939577039274925
60: ... loglikelihood=-33.05956425850591 0.9939577039274925
61: ... loglikelihood=-32.80470825416008 0.9939577039274925
62: ... loglikelihood=-32.55675875487812 0.9939577039274925
63: ... loglikelihood=-32.31541467793097 0.9939577039274925
64: ... loglikelihood=-32.08039319904749 0.9939577039274925
65: ... loglikelihood=-31.851428351756212 0.9939577039274925
66: ... loglikelihood=-31.62826975472398 0.9939577039274925
67: ... loglikelihood=-31.410681453600194 0.9939577039274925
68: ... loglikelihood=-31.198440865479128 0.9939577039274925
69: ... loglikelihood=-30.991337815489572 0.9939577039274925
70: ... loglikelihood=-30.78917365622877 0.9939577039274925
71: ... loglikelihood=-30.59176046182047 0.9939577039274925
72: ... loglikelihood=-30.39892028929489 0.9939577039274925
73: ... loglikelihood=-30.210484500800824 0.9939577039274925
74: ... loglikelihood=-30.026293140865526 0.9939577039274925
75: ... loglikelihood=-29.846194363544367 0.9939577039274925
76: ... loglikelihood=-29.67004390484621 0.9939577039274925
77: ... loglikelihood=-29.49770459630644 0.9939577039274925
78: ... loglikelihood=-29.329045916006507 0.9939577039274925
79: ... loglikelihood=-29.163943573713148 0.9939577039274925
80: ... loglikelihood=-29.00227912714952 0.9939577039274925
81: ... loglikelihood=-28.843939626703776 0.9939577039274925
82: ... loglikelihood=-28.688817286146058 0.9939577039274925
83: ... loglikelihood=-28.536809177160208 0.9939577039274925
84: ... loglikelihood=-28.38781694570488 0.9939577039274925
85: ... loglikelihood=-28.241746548407196 0.9939577039274925
86: ... loglikelihood=-28.098508007358415 0.9939577039274925
87: ... loglikelihood=-27.958015181831318 0.9939577039274925
88: ... loglikelihood=-27.820185555574007 0.9939577039274925
89: ... loglikelihood=-27.684940038454354 0.9939577039274925
90: ... loglikelihood=-27.552202781339435 0.9939577039274925
91: ... loglikelihood=-27.421901003190545 0.9945619335347432
92: ... loglikelihood=-27.293964829444025 0.9945619335347432
93: ... loglikelihood=-27.168327140827063 0.9945619335347432
94: ... loglikelihood=-27.04492343182919 0.9945619335347432
95: ... loglikelihood=-26.923691678116462 0.9945619335347432
96: ... loglikelihood=-26.80457221223384 0.9945619335347432
97: ... loglikelihood=-26.68750760699488 0.9945619335347432
98: ... loglikelihood=-26.572442566006774 0.9945619335347432
99: ... loglikelihood=-26.459323820822625 0.9945619335347432
100: ... loglikelihood=-26.34810003425436 0.9945619335347432
Indexing events using cutoff of 5
Computing event counts... done. 4914 events
Indexing... done.
Sorting and merging events... done. Reduced 4914 events to 2706.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 2706
Number of Outcomes: 2
Number of Predicates: 1104
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-3406.1252452716008 0.9497354497354498
2: ... loglikelihood=-910.4944775829217 0.9536019536019537
3: ... loglikelihood=-506.41881538897337 0.9706959706959707
4: ... loglikelihood=-346.0884019287038 0.986975986975987
5: ... loglikelihood=-260.2551822933303 0.9914529914529915
6: ... loglikelihood=-208.3048257539808 0.9938949938949939
7: ... loglikelihood=-174.21156408054938 0.9951159951159951
8: ... loglikelihood=-150.40650843686285 0.9953194953194954
9: ... loglikelihood=-132.95666368592518 0.9953194953194954
10: ... loglikelihood=-119.66589673573984 0.9955229955229955
11: ... loglikelihood=-109.23159341961397 0.9957264957264957
12: ... loglikelihood=-100.83883231608161 0.995929995929996
13: ... loglikelihood=-93.9528691933914 0.995929995929996
14: ... loglikelihood=-88.20796431251918 0.995929995929996
15: ... loglikelihood=-83.34533779636143 0.9961334961334961
16: ... loglikelihood=-79.17696507681606 0.9961334961334961
17: ... loglikelihood=-75.56336103192287 0.9961334961334961
18: ... loglikelihood=-72.39926412903877 0.9961334961334961
19: ... loglikelihood=-69.6040389853498 0.9965404965404966
20: ... loglikelihood=-67.11505833625733 0.9967439967439967
21: ... loglikelihood=-64.8830489335312 0.9967439967439967
22: ... loglikelihood=-62.868769462352944 0.996947496947497
23: ... loglikelihood=-61.040608864274866 0.996947496947497
24: ... loglikelihood=-59.37282932436409 0.996947496947497
25: ... loglikelihood=-57.844266001059644 0.996947496947497
26: ... loglikelihood=-56.437353862623425 0.996947496947497
27: ... loglikelihood=-55.13739127454848 0.996947496947497
28: ... loglikelihood=-53.93197673981721 0.9973544973544973
29: ... loglikelihood=-52.810573591038164 0.9973544973544973
30: ... loglikelihood=-51.764170197145184 0.9973544973544973
31: ... loglikelihood=-50.78501218294053 0.9973544973544973
32: ... loglikelihood=-49.86638947202282 0.9975579975579976
33: ... loglikelihood=-49.002465462681215 0.9975579975579976
34: ... loglikelihood=-48.188138881335085 0.9975579975579976
35: ... loglikelihood=-47.4189312044583 0.9975579975579976
36: ... loglikelihood=-46.690894256385775 0.9975579975579976
37: ... loglikelihood=-46.0005338567622 0.9975579975579976
38: ... loglikelihood=-45.34474633354166 0.9975579975579976
39: ... loglikelihood=-44.720765424268606 0.9975579975579976
40: ... loglikelihood=-44.12611762297605 0.9975579975579976
41: ... loglikelihood=-43.55858443768456 0.9975579975579976
42: ... loglikelihood=-43.016170336775055 0.9975579975579976
43: ... loglikelihood=-42.49707540513448 0.9975579975579976
44: ... loglikelihood=-41.999671920278175 0.9975579975579976
45: ... loglikelihood=-41.522484207412425 0.9975579975579976
46: ... loglikelihood=-41.06417125010256 0.9975579975579976
47: ... loglikelihood=-40.62351162695309 0.9975579975579976
48: ... loglikelihood=-40.199390419827175 0.9975579975579976
49: ... loglikelihood=-39.79078779969615 0.9975579975579976
50: ... loglikelihood=-39.39676904529671 0.9975579975579976
51: ... loglikelihood=-39.01647578978981 0.9975579975579976
52: ... loglikelihood=-38.649118323378865 0.9975579975579976
53: ... loglikelihood=-38.29396880681654 0.9975579975579976
54: ... loglikelihood=-37.95035527301986 0.9975579975579976
55: ... loglikelihood=-37.61765631251754 0.9977614977614978
56: ... loglikelihood=-37.29529635387958 0.9977614977614978
57: ... loglikelihood=-36.982741463180325 0.9977614977614978
58: ... loglikelihood=-36.67949559738515 0.9977614977614978
59: ... loglikelihood=-36.385097255674474 0.9977614977614978
60: ... loglikelihood=-36.099116480441076 0.9977614977614978
61: ... loglikelihood=-35.82115216623876 0.9977614977614978
62: ... loglikelihood=-35.550829640523915 0.9977614977614978
63: ... loglikelihood=-35.287798484781625 0.9977614977614978
64: ... loglikelihood=-35.031730568684715 0.9977614977614978
65: ... loglikelihood=-34.78231827341887 0.9977614977614978
66: ... loglikelihood=-34.53927288329606 0.9977614977614978
67: ... loglikelihood=-34.30232312736233 0.9977614977614978
68: ... loglikelihood=-34.07121385492896 0.9977614977614978
69: ... loglikelihood=-33.845704830889154 0.9977614977614978
70: ... loglikelihood=-33.62556963835328 0.9977614977614978
71: ... loglikelihood=-33.41059467759312 0.9977614977614978
72: ... loglikelihood=-33.20057825155058 0.9977614977614978
73: ... loglikelihood=-32.995329729275994 0.9977614977614978
74: ... loglikelihood=-32.794668779627834 0.9977614977614978
75: ... loglikelihood=-32.5984246684138 0.9977614977614978
76: ... loglikelihood=-32.40643561289887 0.9977614977614978
77: ... loglikelihood=-32.21854818826067 0.9977614977614978
78: ... loglikelihood=-32.03461678114804 0.9977614977614978
79: ... loglikelihood=-31.854503086010837 0.9977614977614978
80: ... loglikelihood=-31.678075640315484 0.9977614977614978
81: ... loglikelihood=-31.50520939516229 0.9977614977614978
82: ... loglikelihood=-31.33578531817055 0.9977614977614978
83: ... loglikelihood=-31.169690025814248 0.9977614977614978
84: ... loglikelihood=-31.006815442667214 0.9977614977614978
85: ... loglikelihood=-30.84705848526689 0.9977614977614978
86: ... loglikelihood=-30.6903207685251 0.9977614977614978
87: ... loglikelihood=-30.53650833281507 0.9977614977614978
88: ... loglikelihood=-30.38553139003644 0.9977614977614978
89: ... loglikelihood=-30.237304087122848 0.9977614977614978
90: ... loglikelihood=-30.091744285593837 0.9977614977614978
91: ... loglikelihood=-29.94877335588464 0.9977614977614978
92: ... loglikelihood=-29.80831598529843 0.9977614977614978
93: ... loglikelihood=-29.67029999852939 0.9977614977614978
94: ... loglikelihood=-29.534656189798945 0.9977614977614978
95: ... loglikelihood=-29.401318165729357 0.9977614977614978
96: ... loglikelihood=-29.270222198155057 0.9977614977614978
97: ... loglikelihood=-29.14130708614084 0.9977614977614978
98: ... loglikelihood=-29.014514026536315 0.9977614977614978
99: ... loglikelihood=-28.88978649245316 0.9977614977614978
100: ... loglikelihood=-28.767070119102307 0.9977614977614978
Indexing events using cutoff of 5
Computing event counts... done. 1655 events
Indexing... done.
Sorting and merging events... done. Reduced 1655 events to 1222.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1222
Number of Outcomes: 2
Number of Predicates: 527
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-1147.1585838266783 0.8507552870090634
2: ... loglikelihood=-491.76052223590256 0.9492447129909366
3: ... loglikelihood=-309.5707578652767 0.9776435045317221
4: ... loglikelihood=-225.7470439116358 0.9842900302114803
5: ... loglikelihood=-179.01677240575953 0.9861027190332327
6: ... loglikelihood=-149.89095289167759 0.9867069486404834
7: ... loglikelihood=-130.19108546835008 0.9867069486404834
8: ... loglikelihood=-115.99957850561441 0.9867069486404834
9: ... loglikelihood=-105.26427161709918 0.9867069486404834
10: ... loglikelihood=-96.83101965628587 0.9867069486404834
11: ... loglikelihood=-90.00993084280053 0.9873111782477342
12: ... loglikelihood=-84.36557962443324 0.9879154078549849
13: ... loglikelihood=-79.6094422477418 0.9885196374622357
14: ... loglikelihood=-75.54202747890797 0.9891238670694864
15: ... loglikelihood=-72.02035226600596 0.9897280966767371
16: ... loglikelihood=-68.93885699699365 0.9897280966767371
17: ... loglikelihood=-66.21771129490499 0.9897280966767371
18: ... loglikelihood=-63.79534130976562 0.9897280966767371
19: ... loglikelihood=-61.62346796520013 0.9915407854984895
20: ... loglikelihood=-59.663701426935205 0.992749244712991
21: ... loglikelihood=-57.88513835540812 0.992749244712991
22: ... loglikelihood=-56.262627985499094 0.992749244712991
23: ... loglikelihood=-54.77549745038076 0.992749244712991
24: ... loglikelihood=-53.40660005265463 0.992749244712991
25: ... loglikelihood=-52.14159510085972 0.992749244712991
26: ... loglikelihood=-50.96839648113822 0.992749244712991
27: ... loglikelihood=-49.87674587144291 0.992749244712991
28: ... loglikelihood=-48.8578791335719 0.9933534743202417
29: ... loglikelihood=-47.90426311444106 0.9933534743202417
30: ... loglikelihood=-47.00938618202908 0.9933534743202417
31: ... loglikelihood=-46.16759015358615 0.9939577039274925
32: ... loglikelihood=-45.37393439073047 0.9939577039274925
33: ... loglikelihood=-44.62408510256267 0.9939577039274925
34: ... loglikelihood=-43.91422456173075 0.9939577039274925
35: ... loglikelihood=-43.2409761706325 0.9939577039274925
36: ... loglikelihood=-42.60134223529995 0.9939577039274925
37: ... loglikelihood=-41.99265199753306 0.9939577039274925
38: ... loglikelihood=-41.412518001813524 0.9939577039274925
39: ... loglikelihood=-40.85879927578492 0.9939577039274925
40: ... loglikelihood=-40.32957011302178 0.9939577039274925
41: ... loglikelihood=-39.82309348734473 0.9939577039274925
42: ... loglikelihood=-39.3377983159132 0.9939577039274925
43: ... loglikelihood=-38.87225993621338 0.9939577039274925
44: ... loglikelihood=-38.42518327915138 0.9939577039274925
45: ... loglikelihood=-37.99538831374505 0.9939577039274925
46: ... loglikelihood=-37.58179741365252 0.9939577039274925
47: ... loglikelihood=-37.18342435600778 0.9939577039274925
48: ... loglikelihood=-36.799364711818534 0.9939577039274925
49: ... loglikelihood=-36.428787426901145 0.9939577039274925
50: ... loglikelihood=-36.07092742481803 0.9939577039274925
51: ... loglikelihood=-35.72507908997822 0.9939577039274925
52: ... loglikelihood=-35.39059051109664 0.9939577039274925
53: ... loglikelihood=-35.06685838346307 0.9939577039274925
54: ... loglikelihood=-34.75332348366227 0.9939577039274925
55: ... loglikelihood=-34.44946664306823 0.9939577039274925
56: ... loglikelihood=-34.15480515706276 0.9939577039274925
57: ... loglikelihood=-33.868889575868714 0.9939577039274925
58: ... loglikelihood=-33.59130083042396 0.9939577039274925
59: ... loglikelihood=-33.321647653102296 0.9939577039274925
60: ... loglikelihood=-33.05956425850591 0.9939577039274925
61: ... loglikelihood=-32.80470825416008 0.9939577039274925
62: ... loglikelihood=-32.55675875487812 0.9939577039274925
63: ... loglikelihood=-32.31541467793097 0.9939577039274925
64: ... loglikelihood=-32.08039319904749 0.9939577039274925
65: ... loglikelihood=-31.851428351756212 0.9939577039274925
66: ... loglikelihood=-31.62826975472398 0.9939577039274925
67: ... loglikelihood=-31.410681453600194 0.9939577039274925
68: ... loglikelihood=-31.198440865479128 0.9939577039274925
69: ... loglikelihood=-30.991337815489572 0.9939577039274925
70: ... loglikelihood=-30.78917365622877 0.9939577039274925
71: ... loglikelihood=-30.59176046182047 0.9939577039274925
72: ... loglikelihood=-30.39892028929489 0.9939577039274925
73: ... loglikelihood=-30.210484500800824 0.9939577039274925
74: ... loglikelihood=-30.026293140865526 0.9939577039274925
75: ... loglikelihood=-29.846194363544367 0.9939577039274925
76: ... loglikelihood=-29.67004390484621 0.9939577039274925
77: ... loglikelihood=-29.49770459630644 0.9939577039274925
78: ... loglikelihood=-29.329045916006507 0.9939577039274925
79: ... loglikelihood=-29.163943573713148 0.9939577039274925
80: ... loglikelihood=-29.00227912714952 0.9939577039274925
81: ... loglikelihood=-28.843939626703776 0.9939577039274925
82: ... loglikelihood=-28.688817286146058 0.9939577039274925
83: ... loglikelihood=-28.536809177160208 0.9939577039274925
84: ... loglikelihood=-28.38781694570488 0.9939577039274925
85: ... loglikelihood=-28.241746548407196 0.9939577039274925
86: ... loglikelihood=-28.098508007358415 0.9939577039274925
87: ... loglikelihood=-27.958015181831318 0.9939577039274925
88: ... loglikelihood=-27.820185555574007 0.9939577039274925
89: ... loglikelihood=-27.684940038454354 0.9939577039274925
90: ... loglikelihood=-27.552202781339435 0.9939577039274925
91: ... loglikelihood=-27.421901003190545 0.9945619335347432
92: ... loglikelihood=-27.293964829444025 0.9945619335347432
93: ... loglikelihood=-27.168327140827063 0.9945619335347432
94: ... loglikelihood=-27.04492343182919 0.9945619335347432
95: ... loglikelihood=-26.923691678116462 0.9945619335347432
96: ... loglikelihood=-26.80457221223384 0.9945619335347432
97: ... loglikelihood=-26.68750760699488 0.9945619335347432
98: ... loglikelihood=-26.572442566006774 0.9945619335347432
99: ... loglikelihood=-26.459323820822625 0.9945619335347432
100: ... loglikelihood=-26.34810003425436 0.9945619335347432
Indexing events using cutoff of 5
Computing event counts... done. 4914 events
Indexing... done.
Sorting and merging events... done. Reduced 4914 events to 2706.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 2706
Number of Outcomes: 2
Number of Predicates: 1104
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-3406.1252452716008 0.9497354497354498
2: ... loglikelihood=-910.4944775829217 0.9536019536019537
3: ... loglikelihood=-506.41881538897337 0.9706959706959707
4: ... loglikelihood=-346.0884019287038 0.986975986975987
5: ... loglikelihood=-260.2551822933303 0.9914529914529915
6: ... loglikelihood=-208.3048257539808 0.9938949938949939
7: ... loglikelihood=-174.21156408054938 0.9951159951159951
8: ... loglikelihood=-150.40650843686285 0.9953194953194954
9: ... loglikelihood=-132.95666368592518 0.9953194953194954
10: ... loglikelihood=-119.66589673573984 0.9955229955229955
11: ... loglikelihood=-109.23159341961397 0.9957264957264957
12: ... loglikelihood=-100.83883231608161 0.995929995929996
13: ... loglikelihood=-93.9528691933914 0.995929995929996
14: ... loglikelihood=-88.20796431251918 0.995929995929996
15: ... loglikelihood=-83.34533779636143 0.9961334961334961
16: ... loglikelihood=-79.17696507681606 0.9961334961334961
17: ... loglikelihood=-75.56336103192287 0.9961334961334961
18: ... loglikelihood=-72.39926412903877 0.9961334961334961
19: ... loglikelihood=-69.6040389853498 0.9965404965404966
20: ... loglikelihood=-67.11505833625733 0.9967439967439967
21: ... loglikelihood=-64.8830489335312 0.9967439967439967
22: ... loglikelihood=-62.868769462352944 0.996947496947497
23: ... loglikelihood=-61.040608864274866 0.996947496947497
24: ... loglikelihood=-59.37282932436409 0.996947496947497
25: ... loglikelihood=-57.844266001059644 0.996947496947497
26: ... loglikelihood=-56.437353862623425 0.996947496947497
27: ... loglikelihood=-55.13739127454848 0.996947496947497
28: ... loglikelihood=-53.93197673981721 0.9973544973544973
29: ... loglikelihood=-52.810573591038164 0.9973544973544973
30: ... loglikelihood=-51.764170197145184 0.9973544973544973
31: ... loglikelihood=-50.78501218294053 0.9973544973544973
32: ... loglikelihood=-49.86638947202282 0.9975579975579976
33: ... loglikelihood=-49.002465462681215 0.9975579975579976
34: ... loglikelihood=-48.188138881335085 0.9975579975579976
35: ... loglikelihood=-47.4189312044583 0.9975579975579976
36: ... loglikelihood=-46.690894256385775 0.9975579975579976
37: ... loglikelihood=-46.0005338567622 0.9975579975579976
38: ... loglikelihood=-45.34474633354166 0.9975579975579976
39: ... loglikelihood=-44.720765424268606 0.9975579975579976
40: ... loglikelihood=-44.12611762297605 0.9975579975579976
41: ... loglikelihood=-43.55858443768456 0.9975579975579976
42: ... loglikelihood=-43.016170336775055 0.9975579975579976
43: ... loglikelihood=-42.49707540513448 0.9975579975579976
44: ... loglikelihood=-41.999671920278175 0.9975579975579976
45: ... loglikelihood=-41.522484207412425 0.9975579975579976
46: ... loglikelihood=-41.06417125010256 0.9975579975579976
47: ... loglikelihood=-40.62351162695309 0.9975579975579976
48: ... loglikelihood=-40.199390419827175 0.9975579975579976
49: ... loglikelihood=-39.79078779969615 0.9975579975579976
50: ... loglikelihood=-39.39676904529671 0.9975579975579976
51: ... loglikelihood=-39.01647578978981 0.9975579975579976
52: ... loglikelihood=-38.649118323378865 0.9975579975579976
53: ... loglikelihood=-38.29396880681654 0.9975579975579976
54: ... loglikelihood=-37.95035527301986 0.9975579975579976
55: ... loglikelihood=-37.61765631251754 0.9977614977614978
56: ... loglikelihood=-37.29529635387958 0.9977614977614978
57: ... loglikelihood=-36.982741463180325 0.9977614977614978
58: ... loglikelihood=-36.67949559738515 0.9977614977614978
59: ... loglikelihood=-36.385097255674474 0.9977614977614978
60: ... loglikelihood=-36.099116480441076 0.9977614977614978
61: ... loglikelihood=-35.82115216623876 0.9977614977614978
62: ... loglikelihood=-35.550829640523915 0.9977614977614978
63: ... loglikelihood=-35.287798484781625 0.9977614977614978
64: ... loglikelihood=-35.031730568684715 0.9977614977614978
65: ... loglikelihood=-34.78231827341887 0.9977614977614978
66: ... loglikelihood=-34.53927288329606 0.9977614977614978
67: ... loglikelihood=-34.30232312736233 0.9977614977614978
68: ... loglikelihood=-34.07121385492896 0.9977614977614978
69: ... loglikelihood=-33.845704830889154 0.9977614977614978
70: ... loglikelihood=-33.62556963835328 0.9977614977614978
71: ... loglikelihood=-33.41059467759312 0.9977614977614978
72: ... loglikelihood=-33.20057825155058 0.9977614977614978
73: ... loglikelihood=-32.995329729275994 0.9977614977614978
74: ... loglikelihood=-32.794668779627834 0.9977614977614978
75: ... loglikelihood=-32.5984246684138 0.9977614977614978
76: ... loglikelihood=-32.40643561289887 0.9977614977614978
77: ... loglikelihood=-32.21854818826067 0.9977614977614978
78: ... loglikelihood=-32.03461678114804 0.9977614977614978
79: ... loglikelihood=-31.854503086010837 0.9977614977614978
80: ... loglikelihood=-31.678075640315484 0.9977614977614978
81: ... loglikelihood=-31.50520939516229 0.9977614977614978
82: ... loglikelihood=-31.33578531817055 0.9977614977614978
83: ... loglikelihood=-31.169690025814248 0.9977614977614978
84: ... loglikelihood=-31.006815442667214 0.9977614977614978
85: ... loglikelihood=-30.84705848526689 0.9977614977614978
86: ... loglikelihood=-30.6903207685251 0.9977614977614978
87: ... loglikelihood=-30.53650833281507 0.9977614977614978
88: ... loglikelihood=-30.38553139003644 0.9977614977614978
89: ... loglikelihood=-30.237304087122848 0.9977614977614978
90: ... loglikelihood=-30.091744285593837 0.9977614977614978
91: ... loglikelihood=-29.94877335588464 0.9977614977614978
92: ... loglikelihood=-29.80831598529843 0.9977614977614978
93: ... loglikelihood=-29.67029999852939 0.9977614977614978
94: ... loglikelihood=-29.534656189798945 0.9977614977614978
95: ... loglikelihood=-29.401318165729357 0.9977614977614978
96: ... loglikelihood=-29.270222198155057 0.9977614977614978
97: ... loglikelihood=-29.14130708614084 0.9977614977614978
98: ... loglikelihood=-29.014514026536315 0.9977614977614978
99: ... loglikelihood=-28.88978649245316 0.9977614977614978
100: ... loglikelihood=-28.767070119102307 0.9977614977614978
[INFO] Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.704 s - in opennlp.tools.tokenize.TokenizerFactoryTest
[INFO] Running opennlp.tools.tokenize.TokSpanEventStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.tokenize.TokSpanEventStreamTest
[INFO] Running opennlp.tools.tokenize.TokenSampleStreamTest
[INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.tokenize.TokenSampleStreamTest
[INFO] Running opennlp.tools.tokenize.TokenSampleTest
[INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.tokenize.TokenSampleTest
[INFO] Running opennlp.tools.tokenize.WhitespaceTokenizerTest
[INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.tokenize.WhitespaceTokenizerTest
[INFO] Running opennlp.tools.sentdetect.SentenceDetectorFactoryTest
Indexing events using cutoff of 5
Computing event counts... done. 122 events
Indexing... done.
Sorting and merging events... done. Reduced 122 events to 85.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 85
Number of Outcomes: 2
Number of Predicates: 28
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-84.56395602831338 0.9590163934426229
2: ... loglikelihood=-23.846880329839458 0.9590163934426229
3: ... loglikelihood=-15.941665561743768 0.9590163934426229
4: ... loglikelihood=-13.340032904344973 0.9590163934426229
5: ... loglikelihood=-11.730287765959199 0.9590163934426229
6: ... loglikelihood=-10.464812602971174 0.9754098360655737
7: ... loglikelihood=-9.414062187055766 0.9754098360655737
8: ... loglikelihood=-8.534904040301585 0.9754098360655737
9: ... loglikelihood=-7.797717729699442 0.9754098360655737
10: ... loglikelihood=-7.17635183493189 0.9754098360655737
11: ... loglikelihood=-6.648368990703189 0.9754098360655737
12: ... loglikelihood=-6.195537322007557 0.9754098360655737
13: ... loglikelihood=-5.803503714419452 0.9754098360655737
14: ... loglikelihood=-5.46109406835569 0.9754098360655737
15: ... loglikelihood=-5.159598550898648 0.9754098360655737
16: ... loglikelihood=-4.892177280763862 0.9836065573770492
17: ... loglikelihood=-4.653404683946774 0.9836065573770492
18: ... loglikelihood=-4.438930867545521 0.9918032786885246
19: ... loglikelihood=-4.245231901453653 0.9918032786885246
20: ... loglikelihood=-4.06942501802661 1.0
21: ... loglikelihood=-3.909130656932541 1.0
22: ... loglikelihood=-3.762368361540656 1.0
23: ... loglikelihood=-3.6274773264148226 1.0
24: ... loglikelihood=-3.5030550850354754 1.0
25: ... loglikelihood=-3.387909699731242 1.0
26: ... loglikelihood=-3.281022116886476 1.0
27: ... loglikelihood=-3.181516259297629 1.0
28: ... loglikelihood=-3.088635068280738 1.0
29: ... loglikelihood=-3.00172116486719 1.0
30: ... loglikelihood=-2.920201128792054 1.0
31: ... loglikelihood=-2.8435726342359615 1.0
32: ... loglikelihood=-2.7713938584795335 1.0
33: ... loglikelihood=-2.703274711685566 1.0
34: ... loglikelihood=-2.6388695354016414 1.0
35: ... loglikelihood=-2.5778709928414605 1.0
36: ... loglikelihood=-2.520004931794993 1.0
37: ... loglikelihood=-2.46502604562314 1.0
38: ... loglikelihood=-2.4127141924719098 1.0
39: ... loglikelihood=-2.362871259988267 1.0
40: ... loglikelihood=-2.3153184842063426 1.0
41: ... loglikelihood=-2.269894148222529 1.0
42: ... loglikelihood=-2.226451599788158 1.0
43: ... loglikelihood=-2.184857537774131 1.0
44: ... loglikelihood=-2.1449905261811617 1.0
45: ... loglikelihood=-2.106739701425797 1.0
46: ... loglikelihood=-2.0700036443694936 1.0
47: ... loglikelihood=-2.0346893932429855 1.0
48: ... loglikelihood=-2.000711577460248 1.0
49: ... loglikelihood=-1.9679916554796018 1.0
50: ... loglikelihood=-1.9364572424841262 1.0
51: ... loglikelihood=-1.906041515822798 1.0
52: ... loglikelihood=-1.8766826879597454 1.0
53: ... loglikelihood=-1.8483235381879053 1.0
54: ... loglikelihood=-1.8209109956283203 1.0
55: ... loglikelihood=-1.794395767099718 1.0
56: ... loglikelihood=-1.7687320043405192 1.0
57: ... loglikelihood=-1.7438770058243118 1.0
58: ... loglikelihood=-1.7197909490540173 1.0
59: ... loglikelihood=-1.6964366497681342 1.0
60: ... loglikelihood=-1.6737793449599232 1.0
61: ... loglikelihood=-1.6517864970105065 1.0
62: ... loglikelihood=-1.6304276165799185 1.0
63: ... loglikelihood=-1.6096741021950216 1.0
64: ... loglikelihood=-1.5894990947274854 1.0
65: ... loglikelihood=-1.569877345174475 1.0
66: ... loglikelihood=-1.550785094344926 1.0
67: ... loglikelihood=-1.5321999632189816 1.0
68: ... loglikelihood=-1.514100852891883 1.0
69: ... loglikelihood=-1.4964678531382076 1.0
70: ... loglikelihood=-1.479282158741698 1.0
71: ... loglikelihood=-1.4625259928312482 1.0
72: ... loglikelihood=-1.446182536547121 1.0
73: ... loglikelihood=-1.4302358644351951 1.0
74: ... loglikelihood=-1.4146708850312297 1.0
75: ... loglikelihood=-1.3994732861544779 1.0
76: ... loglikelihood=-1.384629484479846 1.0
77: ... loglikelihood=-1.3701265790024633 1.0
78: ... loglikelihood=-1.3559523080477103 1.0
79: ... loglikelihood=-1.3420950095147837 1.0
80: ... loglikelihood=-1.3285435840726771 1.0
81: ... loglikelihood=-1.315287461055295 1.0
82: ... loglikelihood=-1.3023165668267136 1.0
83: ... loglikelihood=-1.2896212954097555 1.0
84: ... loglikelihood=-1.277192481190489 1.0
85: ... loglikelihood=-1.265021373528853 1.0
86: ... loglikelihood=-1.2530996131213465 1.0
87: ... loglikelihood=-1.2414192099757424 1.0
88: ... loglikelihood=-1.2299725228704494 1.0
89: ... loglikelihood=-1.2187522401826718 1.0
90: ... loglikelihood=-1.207751361979492 1.0
91: ... loglikelihood=-1.1969631832755903 1.0
92: ... loglikelihood=-1.1863812783693348 1.0
93: ... loglikelihood=-1.1759994861767533 1.0
94: ... loglikelihood=-1.1658118964895783 1.0
95: ... loglikelihood=-1.155812837089852 1.0
96: ... loglikelihood=-1.1459968616590162 1.0
97: ... loglikelihood=-1.1363587384247094 1.0
98: ... loglikelihood=-1.1268934394928833 1.0
99: ... loglikelihood=-1.117596130817312 1.0
100: ... loglikelihood=-1.1084621627621207 1.0
Indexing events using cutoff of 5
Computing event counts... done. 122 events
Indexing... done.
Sorting and merging events... done. Reduced 122 events to 85.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 85
Number of Outcomes: 2
Number of Predicates: 28
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-84.56395602831338 0.9590163934426229
2: ... loglikelihood=-23.846880329839458 0.9590163934426229
3: ... loglikelihood=-15.941665561743768 0.9590163934426229
4: ... loglikelihood=-13.340032904344973 0.9590163934426229
5: ... loglikelihood=-11.730287765959199 0.9590163934426229
6: ... loglikelihood=-10.464812602971174 0.9754098360655737
7: ... loglikelihood=-9.414062187055766 0.9754098360655737
8: ... loglikelihood=-8.534904040301585 0.9754098360655737
9: ... loglikelihood=-7.797717729699442 0.9754098360655737
10: ... loglikelihood=-7.17635183493189 0.9754098360655737
11: ... loglikelihood=-6.648368990703189 0.9754098360655737
12: ... loglikelihood=-6.195537322007557 0.9754098360655737
13: ... loglikelihood=-5.803503714419452 0.9754098360655737
14: ... loglikelihood=-5.46109406835569 0.9754098360655737
15: ... loglikelihood=-5.159598550898648 0.9754098360655737
16: ... loglikelihood=-4.892177280763862 0.9836065573770492
17: ... loglikelihood=-4.653404683946774 0.9836065573770492
18: ... loglikelihood=-4.438930867545521 0.9918032786885246
19: ... loglikelihood=-4.245231901453653 0.9918032786885246
20: ... loglikelihood=-4.06942501802661 1.0
21: ... loglikelihood=-3.909130656932541 1.0
22: ... loglikelihood=-3.762368361540656 1.0
23: ... loglikelihood=-3.6274773264148226 1.0
24: ... loglikelihood=-3.5030550850354754 1.0
25: ... loglikelihood=-3.387909699731242 1.0
26: ... loglikelihood=-3.281022116886476 1.0
27: ... loglikelihood=-3.181516259297629 1.0
28: ... loglikelihood=-3.088635068280738 1.0
29: ... loglikelihood=-3.00172116486719 1.0
30: ... loglikelihood=-2.920201128792054 1.0
31: ... loglikelihood=-2.8435726342359615 1.0
32: ... loglikelihood=-2.7713938584795335 1.0
33: ... loglikelihood=-2.703274711685566 1.0
34: ... loglikelihood=-2.6388695354016414 1.0
35: ... loglikelihood=-2.5778709928414605 1.0
36: ... loglikelihood=-2.520004931794993 1.0
37: ... loglikelihood=-2.46502604562314 1.0
38: ... loglikelihood=-2.4127141924719098 1.0
39: ... loglikelihood=-2.362871259988267 1.0
40: ... loglikelihood=-2.3153184842063426 1.0
41: ... loglikelihood=-2.269894148222529 1.0
42: ... loglikelihood=-2.226451599788158 1.0
43: ... loglikelihood=-2.184857537774131 1.0
44: ... loglikelihood=-2.1449905261811617 1.0
45: ... loglikelihood=-2.106739701425797 1.0
46: ... loglikelihood=-2.0700036443694936 1.0
47: ... loglikelihood=-2.0346893932429855 1.0
48: ... loglikelihood=-2.000711577460248 1.0
49: ... loglikelihood=-1.9679916554796018 1.0
50: ... loglikelihood=-1.9364572424841262 1.0
51: ... loglikelihood=-1.906041515822798 1.0
52: ... loglikelihood=-1.8766826879597454 1.0
53: ... loglikelihood=-1.8483235381879053 1.0
54: ... loglikelihood=-1.8209109956283203 1.0
55: ... loglikelihood=-1.794395767099718 1.0
56: ... loglikelihood=-1.7687320043405192 1.0
57: ... loglikelihood=-1.7438770058243118 1.0
58: ... loglikelihood=-1.7197909490540173 1.0
59: ... loglikelihood=-1.6964366497681342 1.0
60: ... loglikelihood=-1.6737793449599232 1.0
61: ... loglikelihood=-1.6517864970105065 1.0
62: ... loglikelihood=-1.6304276165799185 1.0
63: ... loglikelihood=-1.6096741021950216 1.0
64: ... loglikelihood=-1.5894990947274854 1.0
65: ... loglikelihood=-1.569877345174475 1.0
66: ... loglikelihood=-1.550785094344926 1.0
67: ... loglikelihood=-1.5321999632189816 1.0
68: ... loglikelihood=-1.514100852891883 1.0
69: ... loglikelihood=-1.4964678531382076 1.0
70: ... loglikelihood=-1.479282158741698 1.0
71: ... loglikelihood=-1.4625259928312482 1.0
72: ... loglikelihood=-1.446182536547121 1.0
73: ... loglikelihood=-1.4302358644351951 1.0
74: ... loglikelihood=-1.4146708850312297 1.0
75: ... loglikelihood=-1.3994732861544779 1.0
76: ... loglikelihood=-1.384629484479846 1.0
77: ... loglikelihood=-1.3701265790024633 1.0
78: ... loglikelihood=-1.3559523080477103 1.0
79: ... loglikelihood=-1.3420950095147837 1.0
80: ... loglikelihood=-1.3285435840726771 1.0
81: ... loglikelihood=-1.315287461055295 1.0
82: ... loglikelihood=-1.3023165668267136 1.0
83: ... loglikelihood=-1.2896212954097555 1.0
84: ... loglikelihood=-1.277192481190489 1.0
85: ... loglikelihood=-1.265021373528853 1.0
86: ... loglikelihood=-1.2530996131213465 1.0
87: ... loglikelihood=-1.2414192099757424 1.0
88: ... loglikelihood=-1.2299725228704494 1.0
89: ... loglikelihood=-1.2187522401826718 1.0
90: ... loglikelihood=-1.207751361979492 1.0
91: ... loglikelihood=-1.1969631832755903 1.0
92: ... loglikelihood=-1.1863812783693348 1.0
93: ... loglikelihood=-1.1759994861767533 1.0
94: ... loglikelihood=-1.1658118964895783 1.0
95: ... loglikelihood=-1.155812837089852 1.0
96: ... loglikelihood=-1.1459968616590162 1.0
97: ... loglikelihood=-1.1363587384247094 1.0
98: ... loglikelihood=-1.1268934394928833 1.0
99: ... loglikelihood=-1.117596130817312 1.0
100: ... loglikelihood=-1.1084621627621207 1.0
Indexing events using cutoff of 5
Computing event counts... done. 127 events
Indexing... done.
Sorting and merging events... done. Reduced 127 events to 90.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 90
Number of Outcomes: 2
Number of Predicates: 29
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-88.0296919311131 0.952755905511811
2: ... loglikelihood=-25.936210419819336 0.952755905511811
3: ... loglikelihood=-17.996942948815704 0.952755905511811
4: ... loglikelihood=-15.364837412524016 0.952755905511811
5: ... loglikelihood=-13.680181251510765 0.952755905511811
6: ... loglikelihood=-12.325688659534032 0.968503937007874
7: ... loglikelihood=-11.187313599220042 0.968503937007874
8: ... loglikelihood=-10.225762349162453 0.968503937007874
9: ... loglikelihood=-9.411195263843641 0.968503937007874
10: ... loglikelihood=-8.716711981026002 0.968503937007874
11: ... loglikelihood=-8.119434756494567 0.968503937007874
12: ... loglikelihood=-7.600940857356374 0.968503937007874
13: ... loglikelihood=-7.1467766009739355 0.968503937007874
14: ... loglikelihood=-6.745672223818331 0.9763779527559056
15: ... loglikelihood=-6.388800370359657 0.9763779527559056
16: ... loglikelihood=-6.069180793740027 0.9763779527559056
17: ... loglikelihood=-5.78123140643857 0.9763779527559056
18: ... loglikelihood=-5.520436996356137 0.984251968503937
19: ... loglikelihood=-5.283105478443988 0.984251968503937
20: ... loglikelihood=-5.066187456561382 0.984251968503937
21: ... loglikelihood=-4.867141280210937 0.984251968503937
22: ... loglikelihood=-4.683830923415309 0.9921259842519685
23: ... loglikelihood=-4.514447756613632 0.9921259842519685
24: ... loglikelihood=-4.357449908563574 0.9921259842519685
25: ... loglikelihood=-4.211514735313736 0.9921259842519685
26: ... loglikelihood=-4.075501174639913 0.9921259842519685
27: ... loglikelihood=-3.9484196437579278 0.9921259842519685
28: ... loglikelihood=-3.8294077569761806 0.9921259842519685
29: ... loglikelihood=-3.7177105801956487 0.9921259842519685
30: ... loglikelihood=-3.612664455987964 0.9921259842519685
31: ... loglikelihood=-3.51368366366225 0.9921259842519685
32: ... loglikelihood=-3.420249348628007 0.9921259842519685
33: ... loglikelihood=-3.3319002818815724 0.9921259842519685
34: ... loglikelihood=-3.2482251056588187 1.0
35: ... loglikelihood=-3.168855793667493 1.0
36: ... loglikelihood=-3.093462109834501 1.0
37: ... loglikelihood=-3.0217468924703415 1.0
38: ... loglikelihood=-2.9534420242750095 1.0
39: ... loglikelihood=-2.8883049749600187 1.0
40: ... loglikelihood=-2.826115824120253 1.0
41: ... loglikelihood=-2.7666746886094225 1.0
42: ... loglikelihood=-2.709799491996135 1.0
43: ... loglikelihood=-2.655324024419044 1.0
44: ... loglikelihood=-2.603096249865434 1.0
45: ... loglikelihood=-2.5529768249893596 1.0
46: ... loglikelihood=-2.5048377993891715 1.0
47: ... loglikelihood=-2.458561472035478 1.0
48: ... loglikelihood=-2.414039382479097 1.0
49: ... loglikelihood=-2.3711714187327764 1.0
50: ... loglikelihood=-2.329865026436468 1.0
51: ... loglikelihood=-2.290034506183325 1.0
52: ... loglikelihood=-2.2516003877836033 1.0
53: ... loglikelihood=-2.2144888718409894 1.0
54: ... loglikelihood=-2.1786313303624842 1.0
55: ... loglikelihood=-2.14396385926275 1.0
56: ... loglikelihood=-2.110426876590069 1.0
57: ... loglikelihood=-2.0779647611237384 1.0
58: ... loglikelihood=-2.046525526694217 1.0
59: ... loglikelihood=-2.0160605281775505 1.0
60: ... loglikelihood=-1.986524195630178 1.0
61: ... loglikelihood=-1.9578737934728518 1.0
62: ... loglikelihood=-1.9300692020134884 1.0
63: ... loglikelihood=-1.903072718928304 1.0
64: ... loglikelihood=-1.876848878605638 1.0
65: ... loglikelihood=-1.8513642875041856 1.0
66: ... loglikelihood=-1.8265874738925891 1.0
67: ... loglikelihood=-1.802488750524598 1.0
68: ... loglikelihood=-1.779040088967677 1.0
69: ... loglikelihood=-1.7562150044460554 1.0
70: ... loglikelihood=-1.7339884501845766 1.0
71: ... loglikelihood=-1.7123367203498814 1.0
72: ... loglikelihood=-1.691237360782217 1.0
73: ... loglikelihood=-1.6706690867967389 1.0
74: ... loglikelihood=-1.6506117074081461 1.0
75: ... loglikelihood=-1.631046055399488 1.0
76: ... loglikelihood=-1.6119539227146533 1.0
77: ... loglikelihood=-1.5933180007065548 1.0
78: ... loglikelihood=-1.5751218248194325 1.0
79: ... loglikelihood=-1.557349723325022 1.0
80: ... loglikelihood=-1.5399867697693002 1.0
81: ... loglikelihood=-1.5230187388192031 1.0
82: ... loglikelihood=-1.5064320652283032 1.0
83: ... loglikelihood=-1.4902138056665335 1.0
84: ... loglikelihood=-1.4743516031827666 1.0
85: ... loglikelihood=-1.458833654090021 1.0
86: ... loglikelihood=-1.4436486770822294 1.0
87: ... loglikelihood=-1.4287858844083767 1.0
88: ... loglikelihood=-1.414234954945416 1.0
89: ... loglikelihood=-1.3999860090250271 1.0
90: ... loglikelihood=-1.3860295848819562 1.0
91: ... loglikelihood=-1.372356616602878 1.0
92: ... loglikelihood=-1.3589584134650206 1.0
93: ... loglikelihood=-1.3458266405630819 1.0
94: ... loglikelihood=-1.3329533006312264 1.0
95: ... loglikelihood=-1.320330716974818 1.0
96: ... loglikelihood=-1.3079515174332284 1.0
97: ... loglikelihood=-1.2958086193015657 1.0
98: ... loglikelihood=-1.2838952151448049 1.0
99: ... loglikelihood=-1.2722047594430006 1.0
100: ... loglikelihood=-1.2607309560111895 1.0
Indexing events using cutoff of 5
Computing event counts... done. 122 events
Indexing... done.
Sorting and merging events... done. Reduced 122 events to 85.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 85
Number of Outcomes: 2
Number of Predicates: 28
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-84.56395602831338 0.9590163934426229
2: ... loglikelihood=-23.846880329839458 0.9590163934426229
3: ... loglikelihood=-15.941665561743768 0.9590163934426229
4: ... loglikelihood=-13.340032904344973 0.9590163934426229
5: ... loglikelihood=-11.730287765959199 0.9590163934426229
6: ... loglikelihood=-10.464812602971174 0.9754098360655737
7: ... loglikelihood=-9.414062187055766 0.9754098360655737
8: ... loglikelihood=-8.534904040301585 0.9754098360655737
9: ... loglikelihood=-7.797717729699442 0.9754098360655737
10: ... loglikelihood=-7.17635183493189 0.9754098360655737
11: ... loglikelihood=-6.648368990703189 0.9754098360655737
12: ... loglikelihood=-6.195537322007557 0.9754098360655737
13: ... loglikelihood=-5.803503714419452 0.9754098360655737
14: ... loglikelihood=-5.46109406835569 0.9754098360655737
15: ... loglikelihood=-5.159598550898648 0.9754098360655737
16: ... loglikelihood=-4.892177280763862 0.9836065573770492
17: ... loglikelihood=-4.653404683946774 0.9836065573770492
18: ... loglikelihood=-4.438930867545521 0.9918032786885246
19: ... loglikelihood=-4.245231901453653 0.9918032786885246
20: ... loglikelihood=-4.06942501802661 1.0
21: ... loglikelihood=-3.909130656932541 1.0
22: ... loglikelihood=-3.762368361540656 1.0
23: ... loglikelihood=-3.6274773264148226 1.0
24: ... loglikelihood=-3.5030550850354754 1.0
25: ... loglikelihood=-3.387909699731242 1.0
26: ... loglikelihood=-3.281022116886476 1.0
27: ... loglikelihood=-3.181516259297629 1.0
28: ... loglikelihood=-3.088635068280738 1.0
29: ... loglikelihood=-3.00172116486719 1.0
30: ... loglikelihood=-2.920201128792054 1.0
31: ... loglikelihood=-2.8435726342359615 1.0
32: ... loglikelihood=-2.7713938584795335 1.0
33: ... loglikelihood=-2.703274711685566 1.0
34: ... loglikelihood=-2.6388695354016414 1.0
35: ... loglikelihood=-2.5778709928414605 1.0
36: ... loglikelihood=-2.520004931794993 1.0
37: ... loglikelihood=-2.46502604562314 1.0
38: ... loglikelihood=-2.4127141924719098 1.0
39: ... loglikelihood=-2.362871259988267 1.0
40: ... loglikelihood=-2.3153184842063426 1.0
41: ... loglikelihood=-2.269894148222529 1.0
42: ... loglikelihood=-2.226451599788158 1.0
43: ... loglikelihood=-2.184857537774131 1.0
44: ... loglikelihood=-2.1449905261811617 1.0
45: ... loglikelihood=-2.106739701425797 1.0
46: ... loglikelihood=-2.0700036443694936 1.0
47: ... loglikelihood=-2.0346893932429855 1.0
48: ... loglikelihood=-2.000711577460248 1.0
49: ... loglikelihood=-1.9679916554796018 1.0
50: ... loglikelihood=-1.9364572424841262 1.0
51: ... loglikelihood=-1.906041515822798 1.0
52: ... loglikelihood=-1.8766826879597454 1.0
53: ... loglikelihood=-1.8483235381879053 1.0
54: ... loglikelihood=-1.8209109956283203 1.0
55: ... loglikelihood=-1.794395767099718 1.0
56: ... loglikelihood=-1.7687320043405192 1.0
57: ... loglikelihood=-1.7438770058243118 1.0
58: ... loglikelihood=-1.7197909490540173 1.0
59: ... loglikelihood=-1.6964366497681342 1.0
60: ... loglikelihood=-1.6737793449599232 1.0
61: ... loglikelihood=-1.6517864970105065 1.0
62: ... loglikelihood=-1.6304276165799185 1.0
63: ... loglikelihood=-1.6096741021950216 1.0
64: ... loglikelihood=-1.5894990947274854 1.0
65: ... loglikelihood=-1.569877345174475 1.0
66: ... loglikelihood=-1.550785094344926 1.0
67: ... loglikelihood=-1.5321999632189816 1.0
68: ... loglikelihood=-1.514100852891883 1.0
69: ... loglikelihood=-1.4964678531382076 1.0
70: ... loglikelihood=-1.479282158741698 1.0
71: ... loglikelihood=-1.4625259928312482 1.0
72: ... loglikelihood=-1.446182536547121 1.0
73: ... loglikelihood=-1.4302358644351951 1.0
74: ... loglikelihood=-1.4146708850312297 1.0
75: ... loglikelihood=-1.3994732861544779 1.0
76: ... loglikelihood=-1.384629484479846 1.0
77: ... loglikelihood=-1.3701265790024633 1.0
78: ... loglikelihood=-1.3559523080477103 1.0
79: ... loglikelihood=-1.3420950095147837 1.0
80: ... loglikelihood=-1.3285435840726771 1.0
81: ... loglikelihood=-1.315287461055295 1.0
82: ... loglikelihood=-1.3023165668267136 1.0
83: ... loglikelihood=-1.2896212954097555 1.0
84: ... loglikelihood=-1.277192481190489 1.0
85: ... loglikelihood=-1.265021373528853 1.0
86: ... loglikelihood=-1.2530996131213465 1.0
87: ... loglikelihood=-1.2414192099757424 1.0
88: ... loglikelihood=-1.2299725228704494 1.0
89: ... loglikelihood=-1.2187522401826718 1.0
90: ... loglikelihood=-1.207751361979492 1.0
91: ... loglikelihood=-1.1969631832755903 1.0
92: ... loglikelihood=-1.1863812783693348 1.0
93: ... loglikelihood=-1.1759994861767533 1.0
94: ... loglikelihood=-1.1658118964895783 1.0
95: ... loglikelihood=-1.155812837089852 1.0
96: ... loglikelihood=-1.1459968616590162 1.0
97: ... loglikelihood=-1.1363587384247094 1.0
98: ... loglikelihood=-1.1268934394928833 1.0
99: ... loglikelihood=-1.117596130817312 1.0
100: ... loglikelihood=-1.1084621627621207 1.0
[INFO] Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.095 s - in opennlp.tools.sentdetect.SentenceDetectorFactoryTest
[INFO] Running opennlp.tools.sentdetect.SentenceDetectorEvaluatorTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.sentdetect.SentenceDetectorEvaluatorTest
[INFO] Running opennlp.tools.sentdetect.SentenceDetectorMETest
Indexing events using cutoff of 100
Computing event counts... done. 127 events
Indexing... done.
Sorting and merging events... done. Reduced 127 events to 8.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 8
Number of Outcomes: 2
Number of Predicates: 4
...done.
Computing model parameters ...
Performing 0 iterations.
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 s - in opennlp.tools.sentdetect.SentenceDetectorMETest
[INFO] Running opennlp.tools.sentdetect.SDEventStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 s - in opennlp.tools.sentdetect.SDEventStreamTest
[INFO] Running opennlp.tools.sentdetect.DefaultEndOfSentenceScannerTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.sentdetect.DefaultEndOfSentenceScannerTest
[INFO] Running opennlp.tools.sentdetect.SentenceSampleTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.sentdetect.SentenceSampleTest
[INFO] Running opennlp.tools.chunker.ChunkSampleStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.chunker.ChunkSampleStreamTest
[INFO] Running opennlp.tools.chunker.ChunkerMETest
Indexing events using cutoff of 1
Computing event counts... done. 97 events
Indexing... done.
Sorting and merging events... done. Reduced 97 events to 97.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 97
Number of Outcomes: 7
Number of Predicates: 2532
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-188.75328445836553 0.29896907216494845
2: ... loglikelihood=-75.31948973550934 1.0
3: ... loglikelihood=-46.101955033047496 1.0
4: ... loglikelihood=-33.06882507293666 1.0
5: ... loglikelihood=-25.739632229981254 1.0
6: ... loglikelihood=-21.054987741323057 1.0
7: ... loglikelihood=-17.806692935099303 1.0
8: ... loglikelihood=-15.423749445160807 1.0
9: ... loglikelihood=-13.601834947755675 1.0
10: ... loglikelihood=-12.164107330140009 1.0
11: ... loglikelihood=-11.000864900530283 1.0
12: ... loglikelihood=-10.040482386193982 1.0
13: ... loglikelihood=-9.234227975100728 1.0
14: ... loglikelihood=-8.547802646778724 1.0
15: ... loglikelihood=-7.956370405791867 1.0
16: ... loglikelihood=-7.441508199740316 1.0
17: ... loglikelihood=-6.989263266177409 1.0
18: ... loglikelihood=-6.588875845398863 1.0
19: ... loglikelihood=-6.231915890778244 1.0
20: ... loglikelihood=-5.9116853317763205 1.0
21: ... loglikelihood=-5.622795284879986 1.0
22: ... loglikelihood=-5.360861280846459 1.0
23: ... loglikelihood=-5.122279800911226 1.0
24: ... loglikelihood=-4.904061902831626 1.0
25: ... loglikelihood=-4.703707622707145 1.0
26: ... loglikelihood=-4.519109955577477 1.0
27: ... loglikelihood=-4.348480597893623 1.0
28: ... loglikelihood=-4.190291909219771 1.0
29: ... loglikelihood=-4.043231106731647 1.0
30: ... loglikelihood=-3.9061637875329365 1.0
31: ... loglikelihood=-3.7781046361249686 1.0
32: ... loglikelihood=-3.6581937188345117 1.0
33: ... loglikelihood=-3.545677160655328 1.0
34: ... loglikelihood=-3.439891287813933 1.0
35: ... loglikelihood=-3.340249532098522 1.0
36: ... loglikelihood=-3.2462315517596085 1.0
37: ... loglikelihood=-3.157374143388958 1.0
38: ... loglikelihood=-3.0732636100597803 1.0
39: ... loglikelihood=-2.993529320628868 1.0
40: ... loglikelihood=-2.917838248845584 1.0
41: ... loglikelihood=-2.845890322704011 1.0
42: ... loglikelihood=-2.7774144471957705 1.0
43: ... loglikelihood=-2.712165089407055 1.0
44: ... loglikelihood=-2.6499193353497024 1.0
45: ... loglikelihood=-2.590474344223773 1.0
46: ... loglikelihood=-2.5336451388876164 1.0
47: ... loglikelihood=-2.4792626818568246 1.0
48: ... loglikelihood=-2.427172194698245 1.0
49: ... loglikelihood=-2.377231685643439 1.0
50: ... loglikelihood=-2.3293106559372525 1.0
51: ... loglikelihood=-2.2832889601136133 1.0
52: ... loglikelihood=-2.23905579924864 1.0
53: ... loglikelihood=-2.1965088294374415 1.0
54: ... loglikelihood=-2.155553370398697 1.0
55: ... loglikelihood=-2.1161017013298045 1.0
56: ... loglikelihood=-2.0780724329934914 1.0
57: ... loglikelihood=-2.041389946579214 1.0
58: ... loglikelihood=-2.0059838911995227 1.0
59: ... loglikelihood=-1.9717887329963413 1.0
60: ... loglikelihood=-1.9387433497776034 1.0
61: ... loglikelihood=-1.9067906659095777 1.0
62: ... loglikelihood=-1.8758773228771095 1.0
63: ... loglikelihood=-1.8459533815120246 1.0
64: ... loglikelihood=-1.8169720523943123 1.0
65: ... loglikelihood=-1.7888894513648137 1.0
66: ... loglikelihood=-1.7616643774624678 1.0
67: ... loglikelihood=-1.7352581109227017 1.0
68: ... loglikelihood=-1.7096342291541087 1.0
69: ... loglikelihood=-1.6847584388539805 1.0
70: ... loglikelihood=-1.6605984226352049 1.0
Indexing events using cutoff of 1
Computing event counts... done. 97 events
Indexing... done.
Sorting and merging events... done. Reduced 97 events to 97.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 97
Number of Outcomes: 7
Number of Predicates: 2532
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-188.75328445836553 0.29896907216494845
2: ... loglikelihood=-75.31948973550934 1.0
3: ... loglikelihood=-46.101955033047496 1.0
4: ... loglikelihood=-33.06882507293666 1.0
5: ... loglikelihood=-25.739632229981254 1.0
6: ... loglikelihood=-21.054987741323057 1.0
7: ... loglikelihood=-17.806692935099303 1.0
8: ... loglikelihood=-15.423749445160807 1.0
9: ... loglikelihood=-13.601834947755675 1.0
10: ... loglikelihood=-12.164107330140009 1.0
11: ... loglikelihood=-11.000864900530283 1.0
12: ... loglikelihood=-10.040482386193982 1.0
13: ... loglikelihood=-9.234227975100728 1.0
14: ... loglikelihood=-8.547802646778724 1.0
15: ... loglikelihood=-7.956370405791867 1.0
16: ... loglikelihood=-7.441508199740316 1.0
17: ... loglikelihood=-6.989263266177409 1.0
18: ... loglikelihood=-6.588875845398863 1.0
19: ... loglikelihood=-6.231915890778244 1.0
20: ... loglikelihood=-5.9116853317763205 1.0
21: ... loglikelihood=-5.622795284879986 1.0
22: ... loglikelihood=-5.360861280846459 1.0
23: ... loglikelihood=-5.122279800911226 1.0
24: ... loglikelihood=-4.904061902831626 1.0
25: ... loglikelihood=-4.703707622707145 1.0
26: ... loglikelihood=-4.519109955577477 1.0
27: ... loglikelihood=-4.348480597893623 1.0
28: ... loglikelihood=-4.190291909219771 1.0
29: ... loglikelihood=-4.043231106731647 1.0
30: ... loglikelihood=-3.9061637875329365 1.0
31: ... loglikelihood=-3.7781046361249686 1.0
32: ... loglikelihood=-3.6581937188345117 1.0
33: ... loglikelihood=-3.545677160655328 1.0
34: ... loglikelihood=-3.439891287813933 1.0
35: ... loglikelihood=-3.340249532098522 1.0
36: ... loglikelihood=-3.2462315517596085 1.0
37: ... loglikelihood=-3.157374143388958 1.0
38: ... loglikelihood=-3.0732636100597803 1.0
39: ... loglikelihood=-2.993529320628868 1.0
40: ... loglikelihood=-2.917838248845584 1.0
41: ... loglikelihood=-2.845890322704011 1.0
42: ... loglikelihood=-2.7774144471957705 1.0
43: ... loglikelihood=-2.712165089407055 1.0
44: ... loglikelihood=-2.6499193353497024 1.0
45: ... loglikelihood=-2.590474344223773 1.0
46: ... loglikelihood=-2.5336451388876164 1.0
47: ... loglikelihood=-2.4792626818568246 1.0
48: ... loglikelihood=-2.427172194698245 1.0
49: ... loglikelihood=-2.377231685643439 1.0
50: ... loglikelihood=-2.3293106559372525 1.0
51: ... loglikelihood=-2.2832889601136133 1.0
52: ... loglikelihood=-2.23905579924864 1.0
53: ... loglikelihood=-2.1965088294374415 1.0
54: ... loglikelihood=-2.155553370398697 1.0
55: ... loglikelihood=-2.1161017013298045 1.0
56: ... loglikelihood=-2.0780724329934914 1.0
57: ... loglikelihood=-2.041389946579214 1.0
58: ... loglikelihood=-2.0059838911995227 1.0
59: ... loglikelihood=-1.9717887329963413 1.0
60: ... loglikelihood=-1.9387433497776034 1.0
61: ... loglikelihood=-1.9067906659095777 1.0
62: ... loglikelihood=-1.8758773228771095 1.0
63: ... loglikelihood=-1.8459533815120246 1.0
64: ... loglikelihood=-1.8169720523943123 1.0
65: ... loglikelihood=-1.7888894513648137 1.0
66: ... loglikelihood=-1.7616643774624678 1.0
67: ... loglikelihood=-1.7352581109227017 1.0
68: ... loglikelihood=-1.7096342291541087 1.0
69: ... loglikelihood=-1.6847584388539805 1.0
70: ... loglikelihood=-1.6605984226352049 1.0
Indexing events using cutoff of 1
Computing event counts... done. 97 events
Indexing... done.
Sorting and merging events... done. Reduced 97 events to 97.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 97
Number of Outcomes: 7
Number of Predicates: 2532
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-188.75328445836553 0.29896907216494845
2: ... loglikelihood=-75.31948973550934 1.0
3: ... loglikelihood=-46.101955033047496 1.0
4: ... loglikelihood=-33.06882507293666 1.0
5: ... loglikelihood=-25.739632229981254 1.0
6: ... loglikelihood=-21.054987741323057 1.0
7: ... loglikelihood=-17.806692935099303 1.0
8: ... loglikelihood=-15.423749445160807 1.0
9: ... loglikelihood=-13.601834947755675 1.0
10: ... loglikelihood=-12.164107330140009 1.0
11: ... loglikelihood=-11.000864900530283 1.0
12: ... loglikelihood=-10.040482386193982 1.0
13: ... loglikelihood=-9.234227975100728 1.0
14: ... loglikelihood=-8.547802646778724 1.0
15: ... loglikelihood=-7.956370405791867 1.0
16: ... loglikelihood=-7.441508199740316 1.0
17: ... loglikelihood=-6.989263266177409 1.0
18: ... loglikelihood=-6.588875845398863 1.0
19: ... loglikelihood=-6.231915890778244 1.0
20: ... loglikelihood=-5.9116853317763205 1.0
21: ... loglikelihood=-5.622795284879986 1.0
22: ... loglikelihood=-5.360861280846459 1.0
23: ... loglikelihood=-5.122279800911226 1.0
24: ... loglikelihood=-4.904061902831626 1.0
25: ... loglikelihood=-4.703707622707145 1.0
26: ... loglikelihood=-4.519109955577477 1.0
27: ... loglikelihood=-4.348480597893623 1.0
28: ... loglikelihood=-4.190291909219771 1.0
29: ... loglikelihood=-4.043231106731647 1.0
30: ... loglikelihood=-3.9061637875329365 1.0
31: ... loglikelihood=-3.7781046361249686 1.0
32: ... loglikelihood=-3.6581937188345117 1.0
33: ... loglikelihood=-3.545677160655328 1.0
34: ... loglikelihood=-3.439891287813933 1.0
35: ... loglikelihood=-3.340249532098522 1.0
36: ... loglikelihood=-3.2462315517596085 1.0
37: ... loglikelihood=-3.157374143388958 1.0
38: ... loglikelihood=-3.0732636100597803 1.0
39: ... loglikelihood=-2.993529320628868 1.0
40: ... loglikelihood=-2.917838248845584 1.0
41: ... loglikelihood=-2.845890322704011 1.0
42: ... loglikelihood=-2.7774144471957705 1.0
43: ... loglikelihood=-2.712165089407055 1.0
44: ... loglikelihood=-2.6499193353497024 1.0
45: ... loglikelihood=-2.590474344223773 1.0
46: ... loglikelihood=-2.5336451388876164 1.0
47: ... loglikelihood=-2.4792626818568246 1.0
48: ... loglikelihood=-2.427172194698245 1.0
49: ... loglikelihood=-2.377231685643439 1.0
50: ... loglikelihood=-2.3293106559372525 1.0
51: ... loglikelihood=-2.2832889601136133 1.0
52: ... loglikelihood=-2.23905579924864 1.0
53: ... loglikelihood=-2.1965088294374415 1.0
54: ... loglikelihood=-2.155553370398697 1.0
55: ... loglikelihood=-2.1161017013298045 1.0
56: ... loglikelihood=-2.0780724329934914 1.0
57: ... loglikelihood=-2.041389946579214 1.0
58: ... loglikelihood=-2.0059838911995227 1.0
59: ... loglikelihood=-1.9717887329963413 1.0
60: ... loglikelihood=-1.9387433497776034 1.0
61: ... loglikelihood=-1.9067906659095777 1.0
62: ... loglikelihood=-1.8758773228771095 1.0
63: ... loglikelihood=-1.8459533815120246 1.0
64: ... loglikelihood=-1.8169720523943123 1.0
65: ... loglikelihood=-1.7888894513648137 1.0
66: ... loglikelihood=-1.7616643774624678 1.0
67: ... loglikelihood=-1.7352581109227017 1.0
68: ... loglikelihood=-1.7096342291541087 1.0
69: ... loglikelihood=-1.6847584388539805 1.0
70: ... loglikelihood=-1.6605984226352049 1.0
[[0..1) NP, [1..2) VP, [2..4) NP, [4..5) VP, [5..6) SBAR, [6..7) NP, [7..9) VP, [9..13) NP, [13..14) PP, [14..16) NP]
Indexing events using cutoff of 1
Computing event counts... done. 97 events
Indexing... done.
Sorting and merging events... done. Reduced 97 events to 97.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 97
Number of Outcomes: 7
Number of Predicates: 2532
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-188.75328445836553 0.29896907216494845
2: ... loglikelihood=-75.31948973550934 1.0
3: ... loglikelihood=-46.101955033047496 1.0
4: ... loglikelihood=-33.06882507293666 1.0
5: ... loglikelihood=-25.739632229981254 1.0
6: ... loglikelihood=-21.054987741323057 1.0
7: ... loglikelihood=-17.806692935099303 1.0
8: ... loglikelihood=-15.423749445160807 1.0
9: ... loglikelihood=-13.601834947755675 1.0
10: ... loglikelihood=-12.164107330140009 1.0
11: ... loglikelihood=-11.000864900530283 1.0
12: ... loglikelihood=-10.040482386193982 1.0
13: ... loglikelihood=-9.234227975100728 1.0
14: ... loglikelihood=-8.547802646778724 1.0
15: ... loglikelihood=-7.956370405791867 1.0
16: ... loglikelihood=-7.441508199740316 1.0
17: ... loglikelihood=-6.989263266177409 1.0
18: ... loglikelihood=-6.588875845398863 1.0
19: ... loglikelihood=-6.231915890778244 1.0
20: ... loglikelihood=-5.9116853317763205 1.0
21: ... loglikelihood=-5.622795284879986 1.0
22: ... loglikelihood=-5.360861280846459 1.0
23: ... loglikelihood=-5.122279800911226 1.0
24: ... loglikelihood=-4.904061902831626 1.0
25: ... loglikelihood=-4.703707622707145 1.0
26: ... loglikelihood=-4.519109955577477 1.0
27: ... loglikelihood=-4.348480597893623 1.0
28: ... loglikelihood=-4.190291909219771 1.0
29: ... loglikelihood=-4.043231106731647 1.0
30: ... loglikelihood=-3.9061637875329365 1.0
31: ... loglikelihood=-3.7781046361249686 1.0
32: ... loglikelihood=-3.6581937188345117 1.0
33: ... loglikelihood=-3.545677160655328 1.0
34: ... loglikelihood=-3.439891287813933 1.0
35: ... loglikelihood=-3.340249532098522 1.0
36: ... loglikelihood=-3.2462315517596085 1.0
37: ... loglikelihood=-3.157374143388958 1.0
38: ... loglikelihood=-3.0732636100597803 1.0
39: ... loglikelihood=-2.993529320628868 1.0
40: ... loglikelihood=-2.917838248845584 1.0
41: ... loglikelihood=-2.845890322704011 1.0
42: ... loglikelihood=-2.7774144471957705 1.0
43: ... loglikelihood=-2.712165089407055 1.0
44: ... loglikelihood=-2.6499193353497024 1.0
45: ... loglikelihood=-2.590474344223773 1.0
46: ... loglikelihood=-2.5336451388876164 1.0
47: ... loglikelihood=-2.4792626818568246 1.0
48: ... loglikelihood=-2.427172194698245 1.0
49: ... loglikelihood=-2.377231685643439 1.0
50: ... loglikelihood=-2.3293106559372525 1.0
51: ... loglikelihood=-2.2832889601136133 1.0
52: ... loglikelihood=-2.23905579924864 1.0
53: ... loglikelihood=-2.1965088294374415 1.0
54: ... loglikelihood=-2.155553370398697 1.0
55: ... loglikelihood=-2.1161017013298045 1.0
56: ... loglikelihood=-2.0780724329934914 1.0
57: ... loglikelihood=-2.041389946579214 1.0
58: ... loglikelihood=-2.0059838911995227 1.0
59: ... loglikelihood=-1.9717887329963413 1.0
60: ... loglikelihood=-1.9387433497776034 1.0
61: ... loglikelihood=-1.9067906659095777 1.0
62: ... loglikelihood=-1.8758773228771095 1.0
63: ... loglikelihood=-1.8459533815120246 1.0
64: ... loglikelihood=-1.8169720523943123 1.0
65: ... loglikelihood=-1.7888894513648137 1.0
66: ... loglikelihood=-1.7616643774624678 1.0
67: ... loglikelihood=-1.7352581109227017 1.0
68: ... loglikelihood=-1.7096342291541087 1.0
69: ... loglikelihood=-1.6847584388539805 1.0
70: ... loglikelihood=-1.6605984226352049 1.0
Indexing events using cutoff of 1
Computing event counts... done. 97 events
Indexing... done.
Sorting and merging events... done. Reduced 97 events to 97.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 97
Number of Outcomes: 7
Number of Predicates: 2532
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-188.75328445836553 0.29896907216494845
2: ... loglikelihood=-75.31948973550934 1.0
3: ... loglikelihood=-46.101955033047496 1.0
4: ... loglikelihood=-33.06882507293666 1.0
5: ... loglikelihood=-25.739632229981254 1.0
6: ... loglikelihood=-21.054987741323057 1.0
7: ... loglikelihood=-17.806692935099303 1.0
8: ... loglikelihood=-15.423749445160807 1.0
9: ... loglikelihood=-13.601834947755675 1.0
10: ... loglikelihood=-12.164107330140009 1.0
11: ... loglikelihood=-11.000864900530283 1.0
12: ... loglikelihood=-10.040482386193982 1.0
13: ... loglikelihood=-9.234227975100728 1.0
14: ... loglikelihood=-8.547802646778724 1.0
15: ... loglikelihood=-7.956370405791867 1.0
16: ... loglikelihood=-7.441508199740316 1.0
17: ... loglikelihood=-6.989263266177409 1.0
18: ... loglikelihood=-6.588875845398863 1.0
19: ... loglikelihood=-6.231915890778244 1.0
20: ... loglikelihood=-5.9116853317763205 1.0
21: ... loglikelihood=-5.622795284879986 1.0
22: ... loglikelihood=-5.360861280846459 1.0
23: ... loglikelihood=-5.122279800911226 1.0
24: ... loglikelihood=-4.904061902831626 1.0
25: ... loglikelihood=-4.703707622707145 1.0
26: ... loglikelihood=-4.519109955577477 1.0
27: ... loglikelihood=-4.348480597893623 1.0
28: ... loglikelihood=-4.190291909219771 1.0
29: ... loglikelihood=-4.043231106731647 1.0
30: ... loglikelihood=-3.9061637875329365 1.0
31: ... loglikelihood=-3.7781046361249686 1.0
32: ... loglikelihood=-3.6581937188345117 1.0
33: ... loglikelihood=-3.545677160655328 1.0
34: ... loglikelihood=-3.439891287813933 1.0
35: ... loglikelihood=-3.340249532098522 1.0
36: ... loglikelihood=-3.2462315517596085 1.0
37: ... loglikelihood=-3.157374143388958 1.0
38: ... loglikelihood=-3.0732636100597803 1.0
39: ... loglikelihood=-2.993529320628868 1.0
40: ... loglikelihood=-2.917838248845584 1.0
41: ... loglikelihood=-2.845890322704011 1.0
42: ... loglikelihood=-2.7774144471957705 1.0
43: ... loglikelihood=-2.712165089407055 1.0
44: ... loglikelihood=-2.6499193353497024 1.0
45: ... loglikelihood=-2.590474344223773 1.0
46: ... loglikelihood=-2.5336451388876164 1.0
47: ... loglikelihood=-2.4792626818568246 1.0
48: ... loglikelihood=-2.427172194698245 1.0
49: ... loglikelihood=-2.377231685643439 1.0
50: ... loglikelihood=-2.3293106559372525 1.0
51: ... loglikelihood=-2.2832889601136133 1.0
52: ... loglikelihood=-2.23905579924864 1.0
53: ... loglikelihood=-2.1965088294374415 1.0
54: ... loglikelihood=-2.155553370398697 1.0
55: ... loglikelihood=-2.1161017013298045 1.0
56: ... loglikelihood=-2.0780724329934914 1.0
57: ... loglikelihood=-2.041389946579214 1.0
58: ... loglikelihood=-2.0059838911995227 1.0
59: ... loglikelihood=-1.9717887329963413 1.0
60: ... loglikelihood=-1.9387433497776034 1.0
61: ... loglikelihood=-1.9067906659095777 1.0
62: ... loglikelihood=-1.8758773228771095 1.0
63: ... loglikelihood=-1.8459533815120246 1.0
64: ... loglikelihood=-1.8169720523943123 1.0
65: ... loglikelihood=-1.7888894513648137 1.0
66: ... loglikelihood=-1.7616643774624678 1.0
67: ... loglikelihood=-1.7352581109227017 1.0
68: ... loglikelihood=-1.7096342291541087 1.0
69: ... loglikelihood=-1.6847584388539805 1.0
70: ... loglikelihood=-1.6605984226352049 1.0
Indexing events using cutoff of 1
Computing event counts... done. 97 events
Indexing... done.
Sorting and merging events... done. Reduced 97 events to 97.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 97
Number of Outcomes: 7
Number of Predicates: 2532
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-188.75328445836553 0.29896907216494845
2: ... loglikelihood=-75.31948973550934 1.0
3: ... loglikelihood=-46.101955033047496 1.0
4: ... loglikelihood=-33.06882507293666 1.0
5: ... loglikelihood=-25.739632229981254 1.0
6: ... loglikelihood=-21.054987741323057 1.0
7: ... loglikelihood=-17.806692935099303 1.0
8: ... loglikelihood=-15.423749445160807 1.0
9: ... loglikelihood=-13.601834947755675 1.0
10: ... loglikelihood=-12.164107330140009 1.0
11: ... loglikelihood=-11.000864900530283 1.0
12: ... loglikelihood=-10.040482386193982 1.0
13: ... loglikelihood=-9.234227975100728 1.0
14: ... loglikelihood=-8.547802646778724 1.0
15: ... loglikelihood=-7.956370405791867 1.0
16: ... loglikelihood=-7.441508199740316 1.0
17: ... loglikelihood=-6.989263266177409 1.0
18: ... loglikelihood=-6.588875845398863 1.0
19: ... loglikelihood=-6.231915890778244 1.0
20: ... loglikelihood=-5.9116853317763205 1.0
21: ... loglikelihood=-5.622795284879986 1.0
22: ... loglikelihood=-5.360861280846459 1.0
23: ... loglikelihood=-5.122279800911226 1.0
24: ... loglikelihood=-4.904061902831626 1.0
25: ... loglikelihood=-4.703707622707145 1.0
26: ... loglikelihood=-4.519109955577477 1.0
27: ... loglikelihood=-4.348480597893623 1.0
28: ... loglikelihood=-4.190291909219771 1.0
29: ... loglikelihood=-4.043231106731647 1.0
30: ... loglikelihood=-3.9061637875329365 1.0
31: ... loglikelihood=-3.7781046361249686 1.0
32: ... loglikelihood=-3.6581937188345117 1.0
33: ... loglikelihood=-3.545677160655328 1.0
34: ... loglikelihood=-3.439891287813933 1.0
35: ... loglikelihood=-3.340249532098522 1.0
36: ... loglikelihood=-3.2462315517596085 1.0
37: ... loglikelihood=-3.157374143388958 1.0
38: ... loglikelihood=-3.0732636100597803 1.0
39: ... loglikelihood=-2.993529320628868 1.0
40: ... loglikelihood=-2.917838248845584 1.0
41: ... loglikelihood=-2.845890322704011 1.0
42: ... loglikelihood=-2.7774144471957705 1.0
43: ... loglikelihood=-2.712165089407055 1.0
44: ... loglikelihood=-2.6499193353497024 1.0
45: ... loglikelihood=-2.590474344223773 1.0
46: ... loglikelihood=-2.5336451388876164 1.0
47: ... loglikelihood=-2.4792626818568246 1.0
48: ... loglikelihood=-2.427172194698245 1.0
49: ... loglikelihood=-2.377231685643439 1.0
50: ... loglikelihood=-2.3293106559372525 1.0
51: ... loglikelihood=-2.2832889601136133 1.0
52: ... loglikelihood=-2.23905579924864 1.0
53: ... loglikelihood=-2.1965088294374415 1.0
54: ... loglikelihood=-2.155553370398697 1.0
55: ... loglikelihood=-2.1161017013298045 1.0
56: ... loglikelihood=-2.0780724329934914 1.0
57: ... loglikelihood=-2.041389946579214 1.0
58: ... loglikelihood=-2.0059838911995227 1.0
59: ... loglikelihood=-1.9717887329963413 1.0
60: ... loglikelihood=-1.9387433497776034 1.0
61: ... loglikelihood=-1.9067906659095777 1.0
62: ... loglikelihood=-1.8758773228771095 1.0
63: ... loglikelihood=-1.8459533815120246 1.0
64: ... loglikelihood=-1.8169720523943123 1.0
65: ... loglikelihood=-1.7888894513648137 1.0
66: ... loglikelihood=-1.7616643774624678 1.0
67: ... loglikelihood=-1.7352581109227017 1.0
68: ... loglikelihood=-1.7096342291541087 1.0
69: ... loglikelihood=-1.6847584388539805 1.0
70: ... loglikelihood=-1.6605984226352049 1.0
[INFO] Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.373 s - in opennlp.tools.chunker.ChunkerMETest
[INFO] Running opennlp.tools.chunker.ChunkerDetailedFMeasureListenerTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.004 s - in opennlp.tools.chunker.ChunkerDetailedFMeasureListenerTest
[INFO] Running opennlp.tools.chunker.ChunkerEvaluatorTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.chunker.ChunkerEvaluatorTest
[INFO] Running opennlp.tools.chunker.ChunkerFactoryTest
Indexing events using cutoff of 5
Computing event counts... done. 97 events
Indexing... done.
Sorting and merging events... done. Reduced 97 events to 96.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 96
Number of Outcomes: 7
Number of Predicates: 92
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-188.75328445836553 0.29896907216494845
2: ... loglikelihood=-145.97346884296502 0.7422680412371134
3: ... loglikelihood=-123.7358282299164 0.7525773195876289
4: ... loglikelihood=-109.7112009008384 0.7525773195876289
5: ... loglikelihood=-99.69454600982986 0.7938144329896907
6: ... loglikelihood=-91.99264630360213 0.8144329896907216
7: ... loglikelihood=-85.78293229222452 0.8247422680412371
8: ... loglikelihood=-80.60981615712936 0.845360824742268
9: ... loglikelihood=-76.19668171124977 0.845360824742268
10: ... loglikelihood=-72.363754585319 0.8556701030927835
11: ... loglikelihood=-68.98789852446865 0.865979381443299
12: ... loglikelihood=-65.9811803737262 0.865979381443299
13: ... loglikelihood=-63.27864774986149 0.865979381443299
14: ... loglikelihood=-60.830968089013545 0.8865979381443299
15: ... loglikelihood=-58.599788752006184 0.9072164948453608
16: ... loglikelihood=-56.55469745293907 0.9072164948453608
17: ... loglikelihood=-54.671164710489606 0.9175257731958762
18: ... loglikelihood=-52.929111538326254 0.9175257731958762
19: ... loglikelihood=-51.31188816624469 0.9175257731958762
20: ... loglikelihood=-49.80553054057155 0.9175257731958762
21: ... loglikelihood=-48.398209051345866 0.9175257731958762
22: ... loglikelihood=-47.07981301453583 0.9175257731958762
23: ... loglikelihood=-45.84163273457082 0.9175257731958762
24: ... loglikelihood=-44.676112815710965 0.9175257731958762
25: ... loglikelihood=-43.57665824796809 0.9381443298969072
26: ... loglikelihood=-42.537480114877944 0.9484536082474226
27: ... loglikelihood=-41.553471436098995 0.9587628865979382
28: ... loglikelihood=-40.620106217925695 0.9587628865979382
29: ... loglikelihood=-39.73335659369337 0.9587628865979382
30: ... loglikelihood=-38.88962422754471 0.9587628865979382
31: ... loglikelihood=-38.08568308642439 0.9690721649484536
32: ... loglikelihood=-37.3186313637853 0.9690721649484536
33: ... loglikelihood=-36.585850838265664 0.9690721649484536
34: ... loglikelihood=-35.88497232282066 0.979381443298969
35: ... loglikelihood=-35.213846140253814 0.979381443298969
36: ... loglikelihood=-34.57051677488773 0.979381443298969
37: ... loglikelihood=-33.95320101496044 0.979381443298969
38: ... loglikelihood=-33.360269028826245 0.979381443298969
39: ... loglikelihood=-32.79022791921767 0.979381443298969
40: ... loglikelihood=-32.24170738023314 0.979381443298969
41: ... loglikelihood=-31.713447146157407 0.979381443298969
42: ... loglikelihood=-31.204285973254578 0.979381443298969
43: ... loglikelihood=-30.713151937969872 0.979381443298969
44: ... loglikelihood=-30.2390538695654 0.979381443298969
45: ... loglikelihood=-29.781073763652806 0.979381443298969
46: ... loglikelihood=-29.338360046583333 0.979381443298969
47: ... loglikelihood=-28.9101215801559 0.979381443298969
48: ... loglikelihood=-28.495622312356485 0.979381443298969
49: ... loglikelihood=-28.094176493439413 0.979381443298969
50: ... loglikelihood=-27.705144388078935 0.979381443298969
51: ... loglikelihood=-27.327928423940588 0.979381443298969
52: ... loglikelihood=-26.961969725157033 0.979381443298969
53: ... loglikelihood=-26.60674498609147 0.979381443298969
54: ... loglikelihood=-26.261763646641956 0.979381443298969
55: ... loglikelihood=-25.926565335349213 0.979381443298969
56: ... loglikelihood=-25.600717550856686 0.9896907216494846
57: ... loglikelihood=-25.283813555950143 0.9896907216494846
58: ... loglikelihood=-24.975470461570605 0.9896907216494846
59: ... loglikelihood=-24.67532748092426 0.9896907216494846
60: ... loglikelihood=-24.383044336177065 0.9896907216494846
61: ... loglikelihood=-24.09829980226885 0.9896907216494846
62: ... loglikelihood=-23.82079037416363 0.9896907216494846
63: ... loglikelihood=-23.55022904540328 0.9896907216494846
64: ... loglikelihood=-23.286344187187318 0.9896907216494846
65: ... loglikelihood=-23.02887851838598 0.9896907216494846
66: ... loglikelihood=-22.77758815793466 0.9896907216494846
67: ... loglikelihood=-22.532241751970133 0.9896907216494846
68: ... loglikelihood=-22.292619668874853 0.9896907216494846
69: ... loglikelihood=-22.058513256103627 0.9896907216494846
70: ... loglikelihood=-21.829724153296155 0.9896907216494846
71: ... loglikelihood=-21.60606365673262 0.9896907216494846
72: ... loglikelihood=-21.387352130683485 0.9896907216494846
73: ... loglikelihood=-21.173418461641784 0.9896907216494846
74: ... loglikelihood=-20.96409955181575 0.9896907216494846
75: ... loglikelihood=-20.759239848607482 0.9896907216494846
76: ... loglikelihood=-20.558690907112805 0.9896907216494846
77: ... loglikelihood=-20.36231098295505 0.9896907216494846
78: ... loglikelihood=-20.169964653013817 0.9896907216494846
79: ... loglikelihood=-19.981522461832192 0.9896907216494846
80: ... loglikelihood=-19.796860591685995 0.9896907216494846
81: ... loglikelihood=-19.61586055447829 0.9896907216494846
82: ... loglikelihood=-19.43840890378436 0.9896907216494846
83: ... loglikelihood=-19.264396965518195 0.9896907216494846
84: ... loglikelihood=-19.093720585823167 0.9896907216494846
85: ... loglikelihood=-18.92627989490884 0.9896907216494846
86: ... loglikelihood=-18.76197908566345 0.9896907216494846
87: ... loglikelihood=-18.60072620596876 0.9896907216494846
88: ... loglikelihood=-18.44243296373348 0.9896907216494846
89: ... loglikelihood=-18.287014543740423 1.0
90: ... loglikelihood=-18.134389435476677 1.0
91: ... loglikelihood=-17.9844792711821 1.0
92: ... loglikelihood=-17.837208673411514 1.0
93: ... loglikelihood=-17.69250511146187 1.0
94: ... loglikelihood=-17.550298766065428 1.0
95: ... loglikelihood=-17.410522401796054 1.0
96: ... loglikelihood=-17.273111246677853 1.0
97: ... loglikelihood=-17.13800287852376 1.0
98: ... loglikelihood=-17.00513711756693 1.0
99: ... loglikelihood=-16.87445592497987 1.0
100: ... loglikelihood=-16.745903306906172 1.0
Indexing events using cutoff of 5
Computing event counts... done. 97 events
Indexing... done.
Sorting and merging events... done. Reduced 97 events to 96.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 96
Number of Outcomes: 7
Number of Predicates: 92
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-188.75328445836553 0.29896907216494845
2: ... loglikelihood=-145.97346884296502 0.7422680412371134
3: ... loglikelihood=-123.7358282299164 0.7525773195876289
4: ... loglikelihood=-109.7112009008384 0.7525773195876289
5: ... loglikelihood=-99.69454600982986 0.7938144329896907
6: ... loglikelihood=-91.99264630360213 0.8144329896907216
7: ... loglikelihood=-85.78293229222452 0.8247422680412371
8: ... loglikelihood=-80.60981615712936 0.845360824742268
9: ... loglikelihood=-76.19668171124977 0.845360824742268
10: ... loglikelihood=-72.363754585319 0.8556701030927835
11: ... loglikelihood=-68.98789852446865 0.865979381443299
12: ... loglikelihood=-65.9811803737262 0.865979381443299
13: ... loglikelihood=-63.27864774986149 0.865979381443299
14: ... loglikelihood=-60.830968089013545 0.8865979381443299
15: ... loglikelihood=-58.599788752006184 0.9072164948453608
16: ... loglikelihood=-56.55469745293907 0.9072164948453608
17: ... loglikelihood=-54.671164710489606 0.9175257731958762
18: ... loglikelihood=-52.929111538326254 0.9175257731958762
19: ... loglikelihood=-51.31188816624469 0.9175257731958762
20: ... loglikelihood=-49.80553054057155 0.9175257731958762
21: ... loglikelihood=-48.398209051345866 0.9175257731958762
22: ... loglikelihood=-47.07981301453583 0.9175257731958762
23: ... loglikelihood=-45.84163273457082 0.9175257731958762
24: ... loglikelihood=-44.676112815710965 0.9175257731958762
25: ... loglikelihood=-43.57665824796809 0.9381443298969072
26: ... loglikelihood=-42.537480114877944 0.9484536082474226
27: ... loglikelihood=-41.553471436098995 0.9587628865979382
28: ... loglikelihood=-40.620106217925695 0.9587628865979382
29: ... loglikelihood=-39.73335659369337 0.9587628865979382
30: ... loglikelihood=-38.88962422754471 0.9587628865979382
31: ... loglikelihood=-38.08568308642439 0.9690721649484536
32: ... loglikelihood=-37.3186313637853 0.9690721649484536
33: ... loglikelihood=-36.585850838265664 0.9690721649484536
34: ... loglikelihood=-35.88497232282066 0.979381443298969
35: ... loglikelihood=-35.213846140253814 0.979381443298969
36: ... loglikelihood=-34.57051677488773 0.979381443298969
37: ... loglikelihood=-33.95320101496044 0.979381443298969
38: ... loglikelihood=-33.360269028826245 0.979381443298969
39: ... loglikelihood=-32.79022791921767 0.979381443298969
40: ... loglikelihood=-32.24170738023314 0.979381443298969
41: ... loglikelihood=-31.713447146157407 0.979381443298969
42: ... loglikelihood=-31.204285973254578 0.979381443298969
43: ... loglikelihood=-30.713151937969872 0.979381443298969
44: ... loglikelihood=-30.2390538695654 0.979381443298969
45: ... loglikelihood=-29.781073763652806 0.979381443298969
46: ... loglikelihood=-29.338360046583333 0.979381443298969
47: ... loglikelihood=-28.9101215801559 0.979381443298969
48: ... loglikelihood=-28.495622312356485 0.979381443298969
49: ... loglikelihood=-28.094176493439413 0.979381443298969
50: ... loglikelihood=-27.705144388078935 0.979381443298969
51: ... loglikelihood=-27.327928423940588 0.979381443298969
52: ... loglikelihood=-26.961969725157033 0.979381443298969
53: ... loglikelihood=-26.60674498609147 0.979381443298969
54: ... loglikelihood=-26.261763646641956 0.979381443298969
55: ... loglikelihood=-25.926565335349213 0.979381443298969
56: ... loglikelihood=-25.600717550856686 0.9896907216494846
57: ... loglikelihood=-25.283813555950143 0.9896907216494846
58: ... loglikelihood=-24.975470461570605 0.9896907216494846
59: ... loglikelihood=-24.67532748092426 0.9896907216494846
60: ... loglikelihood=-24.383044336177065 0.9896907216494846
61: ... loglikelihood=-24.09829980226885 0.9896907216494846
62: ... loglikelihood=-23.82079037416363 0.9896907216494846
63: ... loglikelihood=-23.55022904540328 0.9896907216494846
64: ... loglikelihood=-23.286344187187318 0.9896907216494846
65: ... loglikelihood=-23.02887851838598 0.9896907216494846
66: ... loglikelihood=-22.77758815793466 0.9896907216494846
67: ... loglikelihood=-22.532241751970133 0.9896907216494846
68: ... loglikelihood=-22.292619668874853 0.9896907216494846
69: ... loglikelihood=-22.058513256103627 0.9896907216494846
70: ... loglikelihood=-21.829724153296155 0.9896907216494846
71: ... loglikelihood=-21.60606365673262 0.9896907216494846
72: ... loglikelihood=-21.387352130683485 0.9896907216494846
73: ... loglikelihood=-21.173418461641784 0.9896907216494846
74: ... loglikelihood=-20.96409955181575 0.9896907216494846
75: ... loglikelihood=-20.759239848607482 0.9896907216494846
76: ... loglikelihood=-20.558690907112805 0.9896907216494846
77: ... loglikelihood=-20.36231098295505 0.9896907216494846
78: ... loglikelihood=-20.169964653013817 0.9896907216494846
79: ... loglikelihood=-19.981522461832192 0.9896907216494846
80: ... loglikelihood=-19.796860591685995 0.9896907216494846
81: ... loglikelihood=-19.61586055447829 0.9896907216494846
82: ... loglikelihood=-19.43840890378436 0.9896907216494846
83: ... loglikelihood=-19.264396965518195 0.9896907216494846
84: ... loglikelihood=-19.093720585823167 0.9896907216494846
85: ... loglikelihood=-18.92627989490884 0.9896907216494846
86: ... loglikelihood=-18.76197908566345 0.9896907216494846
87: ... loglikelihood=-18.60072620596876 0.9896907216494846
88: ... loglikelihood=-18.44243296373348 0.9896907216494846
89: ... loglikelihood=-18.287014543740423 1.0
90: ... loglikelihood=-18.134389435476677 1.0
91: ... loglikelihood=-17.9844792711821 1.0
92: ... loglikelihood=-17.837208673411514 1.0
93: ... loglikelihood=-17.69250511146187 1.0
94: ... loglikelihood=-17.550298766065428 1.0
95: ... loglikelihood=-17.410522401796054 1.0
96: ... loglikelihood=-17.273111246677853 1.0
97: ... loglikelihood=-17.13800287852376 1.0
98: ... loglikelihood=-17.00513711756693 1.0
99: ... loglikelihood=-16.87445592497987 1.0
100: ... loglikelihood=-16.745903306906172 1.0
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.073 s - in opennlp.tools.chunker.ChunkerFactoryTest
[INFO] Running opennlp.tools.chunker.ChunkSampleTest
[INFO] Tests run: 13, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 s - in opennlp.tools.chunker.ChunkSampleTest
[INFO] Running opennlp.tools.namefind.RegexNameFinderTest
[INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.namefind.RegexNameFinderTest
[INFO] Running opennlp.tools.namefind.TokenNameFinderCrossValidatorTest
Indexing events using cutoff of 1
Computing event counts... done. 666 events
Indexing... done.
Sorting and merging events... done. Reduced 666 events to 664.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 664
Number of Outcomes: 3
Number of Predicates: 4978
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-731.675784252971 0.9654654654654654
2: ... loglikelihood=-228.12119141655216 0.9654654654654654
3: ... loglikelihood=-131.1719258565911 0.9654654654654654
4: ... loglikelihood=-90.03499059082738 0.972972972972973
5: ... loglikelihood=-67.3822899285363 0.9819819819819819
6: ... loglikelihood=-53.27795357694623 0.9924924924924925
7: ... loglikelihood=-43.78488377211095 0.9984984984984985
8: ... loglikelihood=-37.02297956083608 0.9984984984984985
9: ... loglikelihood=-31.993660064887923 0.9984984984984985
10: ... loglikelihood=-28.123644617674227 0.9984984984984985
11: ... loglikelihood=-25.06298513116068 0.9984984984984985
12: ... loglikelihood=-22.587274069249503 0.9984984984984985
13: ... loglikelihood=-20.546687304994457 1.0
14: ... loglikelihood=-18.837765234739773 1.0
15: ... loglikelihood=-17.386983020870186 1.0
16: ... loglikelihood=-16.14077733172375 1.0
17: ... loglikelihood=-15.05927379815174 1.0
18: ... loglikelihood=-14.112218851421195 1.0
19: ... loglikelihood=-13.27626898299389 1.0
20: ... loglikelihood=-12.533140636163434 1.0
21: ... loglikelihood=-11.868320104211767 1.0
22: ... loglikelihood=-11.270146404425018 1.0
23: ... loglikelihood=-10.729147836685208 1.0
24: ... loglikelihood=-10.237554408095885 1.0
25: ... loglikelihood=-9.788934309258025 1.0
26: ... loglikelihood=-9.37791929116567 1.0
27: ... loglikelihood=-8.999994684072881 1.0
28: ... loglikelihood=-8.651337051080494 1.0
29: ... loglikelihood=-8.328687378669676 1.0
30: ... loglikelihood=-8.029251082446578 1.0
31: ... loglikelihood=-7.750618461626467 1.0
32: ... loglikelihood=-7.490700901053409 1.0
33: ... loglikelihood=-7.247679311717405 1.0
34: ... loglikelihood=-7.019962164176892 1.0
35: ... loglikelihood=-6.806151101479225 1.0
36: ... loglikelihood=-6.605012585768091 1.0
37: ... loglikelihood=-6.415454381934728 1.0
38: ... loglikelihood=-6.236505944752929 1.0
39: ... loglikelihood=-6.067301975839139 1.0
40: ... loglikelihood=-5.9070685698834575 1.0
41: ... loglikelihood=-5.755111487747759 1.0
42: ... loglikelihood=-5.610806185851558 1.0
43: ... loglikelihood=-5.473589303114405 1.0
44: ... loglikelihood=-5.342951363300206 1.0
45: ... loglikelihood=-5.2184304954329805 1.0
46: ... loglikelihood=-5.099607010669852 1.0
47: ... loglikelihood=-4.986098702635189 1.0
48: ... loglikelihood=-4.8775567612690836 1.0
49: ... loglikelihood=-4.773662208901352 1.0
50: ... loglikelihood=-4.674122782438054 1.0
51: ... loglikelihood=-4.578670197947147 1.0
52: ... loglikelihood=-4.487057744105107 1.0
53: ... loglikelihood=-4.399058159352846 1.0
54: ... loglikelihood=-4.314461754547265 1.0
55: ... loglikelihood=-4.233074748658342 1.0
56: ... loglikelihood=-4.1547177898663055 1.0
57: ... loglikelihood=-4.079224638433062 1.0
58: ... loglikelihood=-4.006440991097778 1.0
59: ... loglikelihood=-3.936223429588173 1.0
60: ... loglikelihood=-3.8684384782421173 1.0
61: ... loglikelihood=-3.8029617577690367 1.0
62: ... loglikelihood=-3.739677223912025 1.0
63: ... loglikelihood=-3.678476481246761 1.0
64: ... loglikelihood=-3.6192581636144743 1.0
65: ... loglikelihood=-3.5619273737673143 1.0
66: ... loglikelihood=-3.506395175733498 1.0
67: ... loglikelihood=-3.4525781342099706 1.0
68: ... loglikelihood=-3.4003978959814747 1.0
69: ... loglikelihood=-3.3497808089629046 1.0
70: ... loglikelihood=-3.3006575749809017 1.0
Indexing events using cutoff of 1
Computing event counts... done. 726 events
Indexing... done.
Sorting and merging events... done. Reduced 726 events to 725.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 725
Number of Outcomes: 3
Number of Predicates: 5597
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-797.5925215730607 0.977961432506887
2: ... loglikelihood=-220.3165909651515 0.977961432506887
3: ... loglikelihood=-119.48333482582582 0.977961432506887
4: ... loglikelihood=-79.25659747483418 0.977961432506887
5: ... loglikelihood=-57.918371843296704 0.9834710743801653
6: ... loglikelihood=-44.991404774617074 0.990358126721763
7: ... loglikelihood=-36.497127346138306 0.9944903581267218
8: ... loglikelihood=-30.569745197195616 0.9958677685950413
9: ... loglikelihood=-26.233672557612888 0.9986225895316805
10: ... loglikelihood=-22.94029439069268 0.9986225895316805
11: ... loglikelihood=-20.362152150116795 0.9986225895316805
12: ... loglikelihood=-18.293580040258064 1.0
13: ... loglikelihood=-16.599687866307786 1.0
14: ... loglikelihood=-15.188693266435388 1.0
15: ... loglikelihood=-13.996159936635216 1.0
16: ... loglikelihood=-12.975618980873957 1.0
17: ... loglikelihood=-12.092771405196613 1.0
18: ... loglikelihood=-11.321782697255465 1.0
19: ... loglikelihood=-10.64284413692431 1.0
20: ... loglikelihood=-10.040525773215602 1.0
21: ... loglikelihood=-9.50263826460586 1.0
22: ... loglikelihood=-9.019430097010073 1.0
23: ... loglikelihood=-8.583010852951785 1.0
24: ... loglikelihood=-8.186929951221758 1.0
25: ... loglikelihood=-7.825864284973722 1.0
26: ... loglikelihood=-7.495383413858839 1.0
27: ... loglikelihood=-7.191770830802991 1.0
28: ... loglikelihood=-6.911886339650865 1.0
29: ... loglikelihood=-6.653058960182872 1.0
30: ... loglikelihood=-6.413002770077173 1.0
31: ... loglikelihood=-6.189750169485728 1.0
32: ... loglikelihood=-5.981598514085059 1.0
33: ... loglikelihood=-5.787067102781233 1.0
34: ... loglikelihood=-5.604862256364262 1.0
35: ... loglikelihood=-5.433848770355674 1.0
36: ... loglikelihood=-5.273026428286224 1.0
37: ... loglikelihood=-5.121510561495498 1.0
38: ... loglikelihood=-4.978515866710625 1.0
39: ... loglikelihood=-4.843342863214122 1.0
40: ... loglikelihood=-4.715366501653053 1.0
41: ... loglikelihood=-4.594026536765101 1.0
42: ... loglikelihood=-4.478819353988264 1.0
43: ... loglikelihood=-4.369291000556147 1.0
44: ... loglikelihood=-4.265031219318673 1.0
45: ... loglikelihood=-4.165668321183669 1.0
46: ... loglikelihood=-4.070864762017821 1.0
47: ... loglikelihood=-3.9803133137888302 1.0
48: ... loglikelihood=-3.893733738978108 1.0
49: ... loglikelihood=-3.810869892846493 1.0
50: ... loglikelihood=-3.731487190763377 1.0
51: ... loglikelihood=-3.6553703881108826 1.0
52: ... loglikelihood=-3.5823216287149986 1.0
53: ... loglikelihood=-3.512158724701966 1.0
54: ... loglikelihood=-3.4447136364159854 1.0
55: ... loglikelihood=-3.379831125794646 1.0
56: ... loglikelihood=-3.3173675605631074 1.0
57: ... loglikelihood=-3.2571898499180856 1.0
58: ... loglikelihood=-3.1991744951516035 1.0
59: ... loglikelihood=-3.1432067410001876 1.0
60: ... loglikelihood=-3.0891798154779297 1.0
61: ... loglikelihood=-3.036994247621396 1.0
62: ... loglikelihood=-2.9865572539928866 1.0
63: ... loglikelihood=-2.937782185996371 1.0
64: ... loglikelihood=-2.8905880310915424 1.0
65: ... loglikelihood=-2.844898961875753 1.0
66: ... loglikelihood=-2.800643927761266 1.0
67: ... loglikelihood=-2.757756284628844 1.0
68: ... loglikelihood=-2.7161734584014074 1.0
69: ... loglikelihood=-2.6758366389701798 1.0
70: ... loglikelihood=-2.6366905013260142 1.0
Indexing events using cutoff of 1
Computing event counts... done. 666 events
Indexing... done.
Sorting and merging events... done. Reduced 666 events to 664.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 664
Number of Outcomes: 3
Number of Predicates: 4978
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-731.675784252971 0.9654654654654654
2: ... loglikelihood=-228.12119141655216 0.9654654654654654
3: ... loglikelihood=-131.1719258565911 0.9654654654654654
4: ... loglikelihood=-90.03499059082738 0.972972972972973
5: ... loglikelihood=-67.3822899285363 0.9819819819819819
6: ... loglikelihood=-53.27795357694623 0.9924924924924925
7: ... loglikelihood=-43.78488377211095 0.9984984984984985
8: ... loglikelihood=-37.02297956083608 0.9984984984984985
9: ... loglikelihood=-31.993660064887923 0.9984984984984985
10: ... loglikelihood=-28.123644617674227 0.9984984984984985
11: ... loglikelihood=-25.06298513116068 0.9984984984984985
12: ... loglikelihood=-22.587274069249503 0.9984984984984985
13: ... loglikelihood=-20.546687304994457 1.0
14: ... loglikelihood=-18.837765234739773 1.0
15: ... loglikelihood=-17.386983020870186 1.0
16: ... loglikelihood=-16.14077733172375 1.0
17: ... loglikelihood=-15.05927379815174 1.0
18: ... loglikelihood=-14.112218851421195 1.0
19: ... loglikelihood=-13.27626898299389 1.0
20: ... loglikelihood=-12.533140636163434 1.0
21: ... loglikelihood=-11.868320104211767 1.0
22: ... loglikelihood=-11.270146404425018 1.0
23: ... loglikelihood=-10.729147836685208 1.0
24: ... loglikelihood=-10.237554408095885 1.0
25: ... loglikelihood=-9.788934309258025 1.0
26: ... loglikelihood=-9.37791929116567 1.0
27: ... loglikelihood=-8.999994684072881 1.0
28: ... loglikelihood=-8.651337051080494 1.0
29: ... loglikelihood=-8.328687378669676 1.0
30: ... loglikelihood=-8.029251082446578 1.0
31: ... loglikelihood=-7.750618461626467 1.0
32: ... loglikelihood=-7.490700901053409 1.0
33: ... loglikelihood=-7.247679311717405 1.0
34: ... loglikelihood=-7.019962164176892 1.0
35: ... loglikelihood=-6.806151101479225 1.0
36: ... loglikelihood=-6.605012585768091 1.0
37: ... loglikelihood=-6.415454381934728 1.0
38: ... loglikelihood=-6.236505944752929 1.0
39: ... loglikelihood=-6.067301975839139 1.0
40: ... loglikelihood=-5.9070685698834575 1.0
41: ... loglikelihood=-5.755111487747759 1.0
42: ... loglikelihood=-5.610806185851558 1.0
43: ... loglikelihood=-5.473589303114405 1.0
44: ... loglikelihood=-5.342951363300206 1.0
45: ... loglikelihood=-5.2184304954329805 1.0
46: ... loglikelihood=-5.099607010669852 1.0
47: ... loglikelihood=-4.986098702635189 1.0
48: ... loglikelihood=-4.8775567612690836 1.0
49: ... loglikelihood=-4.773662208901352 1.0
50: ... loglikelihood=-4.674122782438054 1.0
51: ... loglikelihood=-4.578670197947147 1.0
52: ... loglikelihood=-4.487057744105107 1.0
53: ... loglikelihood=-4.399058159352846 1.0
54: ... loglikelihood=-4.314461754547265 1.0
55: ... loglikelihood=-4.233074748658342 1.0
56: ... loglikelihood=-4.1547177898663055 1.0
57: ... loglikelihood=-4.079224638433062 1.0
58: ... loglikelihood=-4.006440991097778 1.0
59: ... loglikelihood=-3.936223429588173 1.0
60: ... loglikelihood=-3.8684384782421173 1.0
61: ... loglikelihood=-3.8029617577690367 1.0
62: ... loglikelihood=-3.739677223912025 1.0
63: ... loglikelihood=-3.678476481246761 1.0
64: ... loglikelihood=-3.6192581636144743 1.0
65: ... loglikelihood=-3.5619273737673143 1.0
66: ... loglikelihood=-3.506395175733498 1.0
67: ... loglikelihood=-3.4525781342099706 1.0
68: ... loglikelihood=-3.4003978959814747 1.0
69: ... loglikelihood=-3.3497808089629046 1.0
70: ... loglikelihood=-3.3006575749809017 1.0
Indexing events using cutoff of 1
Computing event counts... done. 726 events
Indexing... done.
Sorting and merging events... done. Reduced 726 events to 725.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 725
Number of Outcomes: 3
Number of Predicates: 5597
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-797.5925215730607 0.977961432506887
2: ... loglikelihood=-220.3165909651515 0.977961432506887
3: ... loglikelihood=-119.48333482582582 0.977961432506887
4: ... loglikelihood=-79.25659747483418 0.977961432506887
5: ... loglikelihood=-57.918371843296704 0.9834710743801653
6: ... loglikelihood=-44.991404774617074 0.990358126721763
7: ... loglikelihood=-36.497127346138306 0.9944903581267218
8: ... loglikelihood=-30.569745197195616 0.9958677685950413
9: ... loglikelihood=-26.233672557612888 0.9986225895316805
10: ... loglikelihood=-22.94029439069268 0.9986225895316805
11: ... loglikelihood=-20.362152150116795 0.9986225895316805
12: ... loglikelihood=-18.293580040258064 1.0
13: ... loglikelihood=-16.599687866307786 1.0
14: ... loglikelihood=-15.188693266435388 1.0
15: ... loglikelihood=-13.996159936635216 1.0
16: ... loglikelihood=-12.975618980873957 1.0
17: ... loglikelihood=-12.092771405196613 1.0
18: ... loglikelihood=-11.321782697255465 1.0
19: ... loglikelihood=-10.64284413692431 1.0
20: ... loglikelihood=-10.040525773215602 1.0
21: ... loglikelihood=-9.50263826460586 1.0
22: ... loglikelihood=-9.019430097010073 1.0
23: ... loglikelihood=-8.583010852951785 1.0
24: ... loglikelihood=-8.186929951221758 1.0
25: ... loglikelihood=-7.825864284973722 1.0
26: ... loglikelihood=-7.495383413858839 1.0
27: ... loglikelihood=-7.191770830802991 1.0
28: ... loglikelihood=-6.911886339650865 1.0
29: ... loglikelihood=-6.653058960182872 1.0
30: ... loglikelihood=-6.413002770077173 1.0
31: ... loglikelihood=-6.189750169485728 1.0
32: ... loglikelihood=-5.981598514085059 1.0
33: ... loglikelihood=-5.787067102781233 1.0
34: ... loglikelihood=-5.604862256364262 1.0
35: ... loglikelihood=-5.433848770355674 1.0
36: ... loglikelihood=-5.273026428286224 1.0
37: ... loglikelihood=-5.121510561495498 1.0
38: ... loglikelihood=-4.978515866710625 1.0
39: ... loglikelihood=-4.843342863214122 1.0
40: ... loglikelihood=-4.715366501653053 1.0
41: ... loglikelihood=-4.594026536765101 1.0
42: ... loglikelihood=-4.478819353988264 1.0
43: ... loglikelihood=-4.369291000556147 1.0
44: ... loglikelihood=-4.265031219318673 1.0
45: ... loglikelihood=-4.165668321183669 1.0
46: ... loglikelihood=-4.070864762017821 1.0
47: ... loglikelihood=-3.9803133137888302 1.0
48: ... loglikelihood=-3.893733738978108 1.0
49: ... loglikelihood=-3.810869892846493 1.0
50: ... loglikelihood=-3.731487190763377 1.0
51: ... loglikelihood=-3.6553703881108826 1.0
52: ... loglikelihood=-3.5823216287149986 1.0
53: ... loglikelihood=-3.512158724701966 1.0
54: ... loglikelihood=-3.4447136364159854 1.0
55: ... loglikelihood=-3.379831125794646 1.0
56: ... loglikelihood=-3.3173675605631074 1.0
57: ... loglikelihood=-3.2571898499180856 1.0
58: ... loglikelihood=-3.1991744951516035 1.0
59: ... loglikelihood=-3.1432067410001876 1.0
60: ... loglikelihood=-3.0891798154779297 1.0
61: ... loglikelihood=-3.036994247621396 1.0
62: ... loglikelihood=-2.9865572539928866 1.0
63: ... loglikelihood=-2.937782185996371 1.0
64: ... loglikelihood=-2.8905880310915424 1.0
65: ... loglikelihood=-2.844898961875753 1.0
66: ... loglikelihood=-2.800643927761266 1.0
67: ... loglikelihood=-2.757756284628844 1.0
68: ... loglikelihood=-2.7161734584014074 1.0
69: ... loglikelihood=-2.6758366389701798 1.0
70: ... loglikelihood=-2.6366905013260142 1.0
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.584 s - in opennlp.tools.namefind.TokenNameFinderCrossValidatorTest
[INFO] Running opennlp.tools.namefind.NameFinderMETest
Indexing events using cutoff of 1
Computing event counts... done. 1392 events
Indexing... done.
Sorting and merging events... done. Reduced 1392 events to 1385.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1385
Number of Outcomes: 3
Number of Predicates: 9164
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-1529.2683058260577 0.9719827586206896
2: ... loglikelihood=-438.40396223929747 0.9719827586206896
3: ... loglikelihood=-246.64108025783494 0.9719827586206896
4: ... loglikelihood=-167.71286327862092 0.9748563218390804
5: ... loglikelihood=-124.71741815960308 0.9841954022988506
6: ... loglikelihood=-98.11657734235689 0.9885057471264368
7: ... loglikelihood=-80.32180306974047 0.9920977011494253
8: ... loglikelihood=-67.7211327141837 0.9971264367816092
9: ... loglikelihood=-58.39695407008319 0.9978448275862069
10: ... loglikelihood=-51.2518846436517 0.9985632183908046
11: ... loglikelihood=-45.61974718846663 0.9985632183908046
12: ... loglikelihood=-41.07596698648521 0.9985632183908046
13: ... loglikelihood=-37.338687562815444 0.9992816091954023
14: ... loglikelihood=-34.21422224173363 1.0
15: ... loglikelihood=-31.565484202410804 1.0
16: ... loglikelihood=-29.292942788145744 1.0
17: ... loglikelihood=-27.322714844604302 1.0
18: ... loglikelihood=-25.59887940837416 1.0
19: ... loglikelihood=-24.07837826469007 1.0
20: ... loglikelihood=-22.727547924914873 1.0
21: ... loglikelihood=-21.519708702684788 1.0
22: ... loglikelihood=-20.433455321280785 1.0
23: ... loglikelihood=-19.45142320993785 1.0
24: ... loglikelihood=-18.559383688477798 1.0
25: ... loglikelihood=-17.7455705960544 1.0
26: ... loglikelihood=-17.000172435156983 1.0
27: ... loglikelihood=-16.3149446395549 1.0
28: ... loglikelihood=-15.682910210628496 1.0
29: ... loglikelihood=-15.098126176528812 1.0
30: ... loglikelihood=-14.555499648465553 1.0
31: ... loglikelihood=-14.050641648937185 1.0
32: ... loglikelihood=-13.579749992614293 1.0
33: ... loglikelihood=-13.13951472052058 1.0
34: ... loglikelihood=-12.727041193587866 1.0
35: ... loglikelihood=-12.339787125482667 1.0
36: ... loglikelihood=-11.975510701698733 1.0
37: ... loglikelihood=-11.632227578620434 1.0
38: ... loglikelihood=-11.308175042977497 1.0
39: ... loglikelihood=-11.00178198154566 1.0
40: ... loglikelihood=-10.71164359361655 1.0
41: ... loglikelihood=-10.436499996685983 1.0
42: ... loglikelihood=-10.175218045029608 1.0
43: ... loglikelihood=-9.926775813128447 1.0
44: ... loglikelihood=-9.690249299997802 1.0
45: ... loglikelihood=-9.46480099288146 1.0
46: ... loglikelihood=-9.249669994385247 1.0
47: ... loglikelihood=-9.04416346966757 1.0
48: ... loglikelihood=-8.84764921258863 1.0
49: ... loglikelihood=-8.659549163935427 1.0
50: ... loglikelihood=-8.479333742646654 1.0
51: ... loglikelihood=-8.306516873671523 1.0
52: ... loglikelihood=-8.140651614725147 1.0
53: ... loglikelihood=-7.981326299544856 1.0
54: ... loglikelihood=-7.828161127941109 1.0
55: ... loglikelihood=-7.680805143471241 1.0
56: ... loglikelihood=-7.538933548344433 1.0
57: ... loglikelihood=-7.402245312506404 1.0
58: ... loglikelihood=-7.2704610400156335 1.0
59: ... loglikelihood=-7.143321061009923 1.0
60: ... loglikelihood=-7.020583721944003 1.0
61: ... loglikelihood=-6.9020238504934674 1.0
62: ... loglikelihood=-6.787431374672246 1.0
63: ... loglikelihood=-6.676610078404424 1.0
64: ... loglikelihood=-6.569376478084746 1.0
65: ... loglikelihood=-6.465558806634501 1.0
66: ... loglikelihood=-6.364996093249862 1.0
67: ... loglikelihood=-6.267537328496821 1.0
68: ... loglikelihood=-6.173040705664888 1.0
69: ... loglikelihood=-6.081372930380764 1.0
70: ... loglikelihood=-5.992408591426402 1.0
Indexing events using cutoff of 1
Computing event counts... done. 1392 events
Indexing... done.
Sorting and merging events... done. Reduced 1392 events to 1385.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1385
Number of Outcomes: 3
Number of Predicates: 9164
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-1529.2683058260577 0.9734195402298851
2: ... loglikelihood=-434.4733786496453 0.9734195402298851
3: ... loglikelihood=-243.0589064855683 0.9734195402298851
4: ... loglikelihood=-164.64741211972273 0.9748563218390804
5: ... loglikelihood=-122.06472394967403 0.9834770114942529
6: ... loglikelihood=-95.80059951766137 0.9892241379310345
7: ... loglikelihood=-78.28724004389775 0.9920977011494253
8: ... loglikelihood=-65.9207779763759 0.9971264367816092
9: ... loglikelihood=-56.790422475502 0.9985632183908046
10: ... loglikelihood=-49.80587080365532 0.9985632183908046
11: ... loglikelihood=-44.30743550764797 0.9985632183908046
12: ... loglikelihood=-39.87595965078884 0.9992816091954023
13: ... loglikelihood=-36.233902183229326 1.0
14: ... loglikelihood=-33.19094633431906 1.0
15: ... loglikelihood=-30.61262227813476 1.0
16: ... loglikelihood=-28.401435474653415 1.0
17: ... loglikelihood=-26.485096029704902 1.0
18: ... loglikelihood=-24.808939288581634 1.0
19: ... loglikelihood=-23.330906157759227 1.0
20: ... loglikelihood=-22.018134794016145 1.0
21: ... loglikelihood=-20.844594402660768 1.0
22: ... loglikelihood=-19.789409477240508 1.0
23: ... loglikelihood=-18.83565154260178 1.0
24: ... loglikelihood=-17.969453731443128 1.0
25: ... loglikelihood=-17.179352305305514 1.0
26: ... loglikelihood=-16.455790326306126 1.0
27: ... loglikelihood=-15.79073891953907 1.0
28: ... loglikelihood=-15.17740498234894 1.0
29: ... loglikelihood=-14.610003247915504 1.0
30: ... loglikelihood=-14.083576815151341 1.0
31: ... loglikelihood=-13.593854573262158 1.0
32: ... loglikelihood=-13.137136993402198 1.0
33: ... loglikelihood=-12.71020393409373 1.0
34: ... loglikelihood=-12.310239678496966 1.0
35: ... loglikelihood=-11.934771569951089 1.0
36: ... loglikelihood=-11.581619460064715 1.0
37: ... loglikelihood=-11.248853815735574 1.0
38: ... loglikelihood=-10.93476080701423 1.0
39: ... loglikelihood=-10.637813058559546 1.0
40: ... loglikelihood=-10.356645023434416 1.0
41: ... loglikelihood=-10.090032150722523 1.0
42: ... loglikelihood=-9.836873183591225 1.0
43: ... loglikelihood=-9.596175053507581 1.0
44: ... loglikelihood=-9.367039937857605 1.0
45: ... loglikelihood=-9.148654128593824 1.0
46: ... loglikelihood=-8.940278423525958 1.0
47: ... loglikelihood=-8.741239803094865 1.0
48: ... loglikelihood=-8.55092419670125 1.0
49: ... loglikelihood=-8.368770176006176 1.0
50: ... loglikelihood=-8.194263439728593 1.0
51: ... loglikelihood=-8.026931976595545 1.0
52: ... loglikelihood=-7.866341811253922 1.0
53: ... loglikelihood=-7.71209325290071 1.0
54: ... loglikelihood=-7.563817578753816 1.0
55: ... loglikelihood=-7.421174094746054 1.0
56: ... loglikelihood=-7.283847524378975 1.0
57: ... loglikelihood=-7.151545683823451 1.0
58: ... loglikelihood=-7.023997407355388 1.0
59: ... loglikelihood=-6.900950692268298 1.0
60: ... loglikelihood=-6.782171036670134 1.0
61: ... loglikelihood=-6.66743994718971 1.0
62: ... loglikelihood=-6.556553596688392 1.0
63: ... loglikelihood=-6.449321614691935 1.0
64: ... loglikelihood=-6.345565995494126 1.0
65: ... loglikelihood=-6.245120110801748 1.0
66: ... loglikelihood=-6.147827815436531 1.0
67: ... loglikelihood=-6.053542636027993 1.0
68: ... loglikelihood=-5.9621270338559675 1.0
69: ... loglikelihood=-5.873451734061077 1.0
70: ... loglikelihood=-5.7873951143593425 1.0
Indexing events using cutoff of 1
Computing event counts... done. 456 events
Indexing... done.
Sorting and merging events... done. Reduced 456 events to 454.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 454
Number of Outcomes: 8
Number of Predicates: 3178
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-948.2253430059958 0.03728070175438596
2: ... loglikelihood=-300.40575959335473 0.8618421052631579
3: ... loglikelihood=-188.67136139495497 0.9078947368421053
4: ... loglikelihood=-136.1357439454919 0.9692982456140351
5: ... loglikelihood=-105.64356325096333 0.9890350877192983
6: ... loglikelihood=-86.04423542144967 0.9978070175438597
7: ... loglikelihood=-72.51342903785431 1.0
8: ... loglikelihood=-62.647384878351424 1.0
9: ... loglikelihood=-55.14553586200671 1.0
10: ... loglikelihood=-49.25263579786355 1.0
11: ... loglikelihood=-44.50258543395006 1.0
12: ... loglikelihood=-40.59286509156385 1.0
13: ... loglikelihood=-37.31880970157196 1.0
14: ... loglikelihood=-34.53710332005324 1.0
15: ... loglikelihood=-32.14443998179232 1.0
16: ... loglikelihood=-30.064494740652247 1.0
17: ... loglikelihood=-28.239666657978862 1.0
18: ... loglikelihood=-26.62567514433216 1.0
19: ... loglikelihood=-25.187923421744827 1.0
20: ... loglikelihood=-23.898990496220573 1.0
21: ... loglikelihood=-22.736863554583326 1.0
22: ... loglikelihood=-21.68366794125544 1.0
23: ... loglikelihood=-20.724738747969486 1.0
24: ... loglikelihood=-19.847931485650506 1.0
25: ... loglikelihood=-19.043103007913842 1.0
26: ... loglikelihood=-18.301715594265577 1.0
27: ... loglikelihood=-17.616531413685657 1.0
28: ... loglikelihood=-16.98137418982447 1.0
29: ... loglikelihood=-16.39094143952207 1.0
30: ... loglikelihood=-15.840655196217627 1.0
31: ... loglikelihood=-15.326542321853546 1.0
32: ... loglikelihood=-14.845137785330024 1.0
33: ... loglikelihood=-14.393405926325395 1.0
34: ... loglikelihood=-13.968675920582218 1.0
35: ... loglikelihood=-13.56858854582334 1.0
36: ... loglikelihood=-13.191052005313939 1.0
37: ... loglikelihood=-12.834205060765111 1.0
38: ... loglikelihood=-12.496386101537158 1.0
39: ... loglikelihood=-12.176107064130608 1.0
40: ... loglikelihood=-11.872031337210732 1.0
41: ... loglikelihood=-11.582954959222283 1.0
42: ... loglikelihood=-11.3077905499971 1.0
43: ... loglikelihood=-11.045553523494668 1.0
44: ... loglikelihood=-10.795350212560635 1.0
45: ... loglikelihood=-10.556367603305382 1.0
46: ... loglikelihood=-10.327864430155518 1.0
47: ... loglikelihood=-10.109163425684661 1.0
48: ... loglikelihood=-9.899644554182775 1.0
49: ... loglikelihood=-9.698739086279055 1.0
50: ... loglikelihood=-9.505924395105179 1.0
51: ... loglikelihood=-9.320719373511189 1.0
52: ... loglikelihood=-9.142680387528785 1.0
53: ... loglikelihood=-8.971397694259458 1.0
54: ... loglikelihood=-8.806492263153705 1.0
55: ... loglikelihood=-8.647612948646616 1.0
56: ... loglikelihood=-8.494433969647163 1.0
57: ... loglikelihood=-8.346652657708802 1.0
58: ... loglikelihood=-8.203987441039708 1.0
59: ... loglikelihood=-8.066176036022602 1.0
60: ... loglikelihood=-7.932973821737314 1.0
61: ... loglikelihood=-7.804152376233129 1.0
62: ... loglikelihood=-7.679498156072879 1.0
63: ... loglikelihood=-7.558811303045204 1.0
64: ... loglikelihood=-7.441904563977566 1.0
65: ... loglikelihood=-7.328602311333719 1.0
66: ... loglikelihood=-7.218739653788951 1.0
67: ... loglikelihood=-7.112161627281074 1.0
68: ... loglikelihood=-7.008722458165339 1.0
69: ... loglikelihood=-6.908284891081736 1.0
70: ... loglikelihood=-6.810719574997768 1.0
Indexing events using cutoff of 1
Computing event counts... done. 16 events
Indexing... done.
Sorting and merging events... done. Reduced 16 events to 16.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 16
Number of Outcomes: 2
Number of Predicates: 105
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-11.090354888959125 0.5
2: ... loglikelihood=-7.65590279467066 1.0
3: ... loglikelihood=-5.814933819671504 1.0
4: ... loglikelihood=-4.67574319186451 1.0
5: ... loglikelihood=-3.90431021844955 1.0
6: ... loglikelihood=-3.348545564100258 1.0
7: ... loglikelihood=-2.929680733724883 1.0
8: ... loglikelihood=-2.6029791126680344 1.0
9: ... loglikelihood=-2.3412044050277023 1.0
10: ... loglikelihood=-2.1268501390290746 1.0
11: ... loglikelihood=-1.948162765971213 1.0
12: ... loglikelihood=-1.7969639246678553 1.0
13: ... loglikelihood=-1.6673903959061178 1.0
14: ... loglikelihood=-1.5551308914164486 1.0
15: ... loglikelihood=-1.456945557200889 1.0
16: ... loglikelihood=-1.3703532886483079 1.0
17: ... loglikelihood=-1.293422335050896 1.0
18: ... loglikelihood=-1.2246265158267606 1.0
19: ... loglikelihood=-1.1627442834343171 1.0
20: ... loglikelihood=-1.1067864594639352 1.0
21: ... loglikelihood=-1.0559435816471132 1.0
22: ... loglikelihood=-1.0095469283257739 1.0
23: ... loglikelihood=-0.9670392517146323 1.0
24: ... loglikelihood=-0.9279525137995897 1.0
25: ... loglikelihood=-0.8918907470133198 1.0
26: ... loglikelihood=-0.8585167156304192 1.0
27: ... loglikelihood=-0.8275414305511256 1.0
28: ... loglikelihood=-0.7987158305072299 1.0
29: ... loglikelihood=-0.7718241253125683 1.0
30: ... loglikelihood=-0.7466784265637542 1.0
31: ... loglikelihood=-0.7231143846052722 1.0
32: ... loglikelihood=-0.7009876185858867 1.0
33: ... loglikelihood=-0.6801707764932503 1.0
34: ... loglikelihood=-0.6605510992732753 1.0
35: ... loglikelihood=-0.6420283910763749 1.0
36: ... loglikelihood=-0.6245133188266572 1.0
37: ... loglikelihood=-0.6079259804627598 1.0
38: ... loglikelihood=-0.5921946936299396 1.0
39: ... loglikelihood=-0.5772549662406503 1.0
40: ... loglikelihood=-0.5630486178454928 1.0
41: ... loglikelihood=-0.5495230266701551 1.0
42: ... loglikelihood=-0.5366304818510563 1.0
43: ... loglikelihood=-0.5243276241234057 1.0
44: ... loglikelihood=-0.5125749611926547 1.0
45: ... loglikelihood=-0.5013364464153557 1.0
46: ... loglikelihood=-0.49057911135185606 1.0
47: ... loglikelihood=-0.48027274432687017 1.0
48: ... loglikelihood=-0.47038960841837646 1.0
49: ... loglikelihood=-0.4609041933486428 1.0
50: ... loglikelihood=-0.45179299661853994 1.0
51: ... loglikelihood=-0.4430343299436082 1.0
52: ... loglikelihood=-0.4346081476456521 1.0
53: ... loglikelihood=-0.4264958941499192 1.0
54: ... loglikelihood=-0.4186803681526933 1.0
55: ... loglikelihood=-0.4111456013724697 1.0
56: ... loglikelihood=-0.4038767500909763 1.0
57: ... loglikelihood=-0.39685999793803955 1.0
58: ... loglikelihood=-0.39008246858411494 1.0
59: ... loglikelihood=-0.3835321471827103 1.0
60: ... loglikelihood=-0.3771978095568832 1.0
61: ... loglikelihood=-0.37106895825404546 1.0
62: ... loglikelihood=-0.3651357647045265 1.0
63: ... loglikelihood=-0.35938901681517843 1.0
64: ... loglikelihood=-0.3538200714116038 1.0
65: ... loglikelihood=-0.3484208110138546 1.0
66: ... loglikelihood=-0.34318360449199153 1.0
67: ... loglikelihood=-0.3381012712013742 1.0
68: ... loglikelihood=-0.3331670482439796 1.0
69: ... loglikelihood=-0.32837456054257297 1.0
70: ... loglikelihood=-0.32371779344983775 1.0
Indexing events using cutoff of 1
Computing event counts... done. 21 events
Indexing... done.
Sorting and merging events... done. Reduced 21 events to 21.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 21
Number of Outcomes: 7
Number of Predicates: 178
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-40.86411313016158 0.09523809523809523
2: ... loglikelihood=-26.24429253807536 1.0
3: ... loglikelihood=-19.35740383132553 1.0
4: ... loglikelihood=-15.327199632002815 1.0
5: ... loglikelihood=-12.672656582670019 1.0
6: ... loglikelihood=-10.788658873621397 1.0
7: ... loglikelihood=-9.381691292880292 1.0
8: ... loglikelihood=-8.291338720155753 1.0
9: ... loglikelihood=-7.422082475588789 1.0
10: ... loglikelihood=-6.713336487986945 1.0
11: ... loglikelihood=-6.124772226134549 1.0
12: ... loglikelihood=-5.628497997601164 1.0
13: ... loglikelihood=-5.2046090394935325 1.0
14: ... loglikelihood=-4.838521624543393 1.0
15: ... loglikelihood=-4.519307895035247 1.0
16: ... loglikelihood=-4.23861892945873 1.0
17: ... loglikelihood=-3.989967205006446 1.0
18: ... loglikelihood=-3.768235971730128 1.0
19: ... loglikelihood=-3.5693360350045067 1.0
20: ... loglikelihood=-3.3899607377495116 1.0
21: ... loglikelihood=-3.2274078449477566 1.0
22: ... loglikelihood=-3.079447935787701 1.0
23: ... loglikelihood=-2.944225719712336 1.0
24: ... loglikelihood=-2.8201850478859742 1.0
25: ... loglikelihood=-2.7060112361981807 1.0
26: ... loglikelihood=-2.6005862102217554 1.0
27: ... loglikelihood=-2.502953266635589 1.0
28: ... loglikelihood=-2.412289130437394 1.0
29: ... loglikelihood=-2.32788160623013 1.0
30: ... loglikelihood=-2.2491115609302716 1.0
31: ... loglikelihood=-2.175438290746935 1.0
32: ... loglikelihood=-2.1063875547226116 1.0
33: ... loglikelihood=-2.0415417258492283 1.0
34: ... loglikelihood=-1.9805316361371408 1.0
35: ... loglikelihood=-1.9230297860659673 1.0
36: ... loglikelihood=-1.86874466004548 1.0
37: ... loglikelihood=-1.8174159438721396 1.0
38: ... loglikelihood=-1.7688104819965964 1.0
39: ... loglikelihood=-1.7227188448477 1.0
40: ... loglikelihood=-1.6789524017787512 1.0
41: ... loglikelihood=-1.6373408151021238 1.0
42: ... loglikelihood=-1.5977298864175893 1.0
43: ... loglikelihood=-1.5599796989617607 1.0
44: ... loglikelihood=-1.5239630097250716 1.0
45: ... loglikelihood=-1.4895638531418538 1.0
46: ... loglikelihood=-1.4566763246749672 1.0
47: ... loglikelihood=-1.4252035179100906 1.0
48: ... loglikelihood=-1.395056593095525 1.0
49: ... loglikelihood=-1.3661539586056342 1.0
50: ... loglikelihood=-1.3384205497222852 1.0
51: ... loglikelihood=-1.311787191539466 1.0
52: ... loglikelihood=-1.2861900347967523 1.0
53: ... loglikelihood=-1.2615700551137274 1.0
54: ... loglikelihood=-1.2378726074903939 1.0
55: ... loglikelihood=-1.2150470291070954 1.0
56: ... loglikelihood=-1.1930462844408258 1.0
57: ... loglikelihood=-1.1718266475450392 1.0
58: ... loglikelihood=-1.1513474170431783 1.0
59: ... loglikelihood=-1.1315706599833517 1.0
60: ... loglikelihood=-1.1124609812102826 1.0
61: ... loglikelihood=-1.0939853153452106 1.0
62: ... loglikelihood=-1.0761127388364857 1.0
63: ... loglikelihood=-1.0588142998632657 1.0
64: ... loglikelihood=-1.0420628641496403 1.0
65: ... loglikelihood=-1.025832974983953 1.0
66: ... loglikelihood=-1.0101007259432944 1.0
67: ... loglikelihood=-0.9948436450011396 1.0
68: ... loglikelihood=-0.9800405888506094 1.0
69: ... loglikelihood=-0.9656716464105005 1.0
70: ... loglikelihood=-0.9517180505985681 1.0
Indexing events using cutoff of 1
Computing event counts... done. 16 events
Indexing... done.
Sorting and merging events... done. Reduced 16 events to 16.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 16
Number of Outcomes: 2
Number of Predicates: 105
...done.
Computing model parameters ...
Performing 70 iterations.
1: ... loglikelihood=-11.090354888959125 0.5
2: ... loglikelihood=-7.65590279467066 1.0
3: ... loglikelihood=-5.814933819671504 1.0
4: ... loglikelihood=-4.675743191864509 1.0
5: ... loglikelihood=-3.90431021844955 1.0
6: ... loglikelihood=-3.3485455641002577 1.0
7: ... loglikelihood=-2.929680733724883 1.0
8: ... loglikelihood=-2.6029791126680344 1.0
9: ... loglikelihood=-2.341204405027702 1.0
10: ... loglikelihood=-2.1268501390290746 1.0
11: ... loglikelihood=-1.9481627659712126 1.0
12: ... loglikelihood=-1.796963924667855 1.0
13: ... loglikelihood=-1.6673903959061174 1.0
14: ... loglikelihood=-1.5551308914164492 1.0
15: ... loglikelihood=-1.456945557200889 1.0
16: ... loglikelihood=-1.3703532886483079 1.0
17: ... loglikelihood=-1.2934223350508962 1.0
18: ... loglikelihood=-1.2246265158267609 1.0
19: ... loglikelihood=-1.162744283434317 1.0
20: ... loglikelihood=-1.1067864594639358 1.0
21: ... loglikelihood=-1.055943581647113 1.0
22: ... loglikelihood=-1.0095469283257739 1.0
23: ... loglikelihood=-0.9670392517146322 1.0
24: ... loglikelihood=-0.9279525137995897 1.0
25: ... loglikelihood=-0.8918907470133197 1.0
26: ... loglikelihood=-0.8585167156304192 1.0
27: ... loglikelihood=-0.8275414305511257 1.0
28: ... loglikelihood=-0.79871583050723 1.0
29: ... loglikelihood=-0.7718241253125686 1.0
30: ... loglikelihood=-0.7466784265637542 1.0
31: ... loglikelihood=-0.7231143846052722 1.0
32: ... loglikelihood=-0.7009876185858868 1.0
33: ... loglikelihood=-0.6801707764932503 1.0
34: ... loglikelihood=-0.6605510992732752 1.0
35: ... loglikelihood=-0.642028391076375 1.0
36: ... loglikelihood=-0.6245133188266573 1.0
37: ... loglikelihood=-0.6079259804627601 1.0
38: ... loglikelihood=-0.5921946936299396 1.0
39: ... loglikelihood=-0.5772549662406503 1.0
40: ... loglikelihood=-0.5630486178454926 1.0
41: ... loglikelihood=-0.5495230266701551 1.0
42: ... loglikelihood=-0.5366304818510562 1.0
43: ... loglikelihood=-0.5243276241234057 1.0
44: ... loglikelihood=-0.5125749611926547 1.0
45: ... loglikelihood=-0.5013364464153557 1.0
46: ... loglikelihood=-0.49057911135185606 1.0
47: ... loglikelihood=-0.48027274432687017 1.0
48: ... loglikelihood=-0.47038960841837646 1.0
49: ... loglikelihood=-0.4609041933486429 1.0
50: ... loglikelihood=-0.45179299661853994 1.0
51: ... loglikelihood=-0.4430343299436084 1.0
52: ... loglikelihood=-0.4346081476456521 1.0
53: ... loglikelihood=-0.4264958941499192 1.0
54: ... loglikelihood=-0.4186803681526933 1.0
55: ... loglikelihood=-0.4111456013724697 1.0
56: ... loglikelihood=-0.4038767500909763 1.0
57: ... loglikelihood=-0.39685999793803955 1.0
58: ... loglikelihood=-0.39008246858411494 1.0
59: ... loglikelihood=-0.38353214718271017 1.0
60: ... loglikelihood=-0.3771978095568832 1.0
61: ... loglikelihood=-0.37106895825404557 1.0
62: ... loglikelihood=-0.3651357647045264 1.0
63: ... loglikelihood=-0.35938901681517843 1.0
64: ... loglikelihood=-0.3538200714116038 1.0
65: ... loglikelihood=-0.3484208110138546 1.0
66: ... loglikelihood=-0.343183604491991 1.0
67: ... loglikelihood=-0.3381012712013742 1.0
68: ... loglikelihood=-0.33316704824397897 1.0
69: ... loglikelihood=-0.32837456054257297 1.0
70: ... loglikelihood=-0.3237177934498376 1.0
[INFO] Tests run: 7, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.625 s - in opennlp.tools.namefind.NameFinderMETest
[INFO] Running opennlp.tools.namefind.DictionaryNameFinderTest
[INFO] Tests run: 7, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.namefind.DictionaryNameFinderTest
[INFO] Running opennlp.tools.namefind.NameSampleTest
[INFO] Tests run: 11, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 s - in opennlp.tools.namefind.NameSampleTest
[INFO] Running opennlp.tools.namefind.TokenNameFinderEvaluatorTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.namefind.TokenNameFinderEvaluatorTest
[INFO] Running opennlp.tools.namefind.DictionaryNameFinderEvaluatorTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.008 s - in opennlp.tools.namefind.DictionaryNameFinderEvaluatorTest
[INFO] Running opennlp.tools.namefind.NameSampleDataStreamTest
[INFO] Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.namefind.NameSampleDataStreamTest
[INFO] Running opennlp.tools.namefind.NameFinderEventStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.namefind.NameFinderEventStreamTest
[INFO] Running opennlp.tools.formats.NameFinderCensus90NameStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.formats.NameFinderCensus90NameStreamTest
[INFO] Running opennlp.tools.formats.ConllXPOSSampleStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.formats.ConllXPOSSampleStreamTest
[INFO] Running opennlp.tools.formats.LeipzigDoccatSampleStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.formats.LeipzigDoccatSampleStreamTest
[INFO] Running opennlp.tools.formats.ad.ADTokenSampleStreamTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.016 s - in opennlp.tools.formats.ad.ADTokenSampleStreamTest
[INFO] Running opennlp.tools.formats.ad.ADParagraphStreamTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 s - in opennlp.tools.formats.ad.ADParagraphStreamTest
[INFO] Running opennlp.tools.formats.ad.ADSentenceSampleStreamTest
Inicia no próximo dia 6 de outubro o Porto Poesia 2 no Shopping Total Av. Cristovão Colombo, 545 -- Porto Alegre -- RS. Com relação à parceria com o shopping o organizador diz que: Até o momento, mais de 98 profissionais da área da cultura e poetas têm a presença confirmada, entre eles, Armindo Trevisan, Alcy Cheuiche, Donaldo Schüller, José Eduardo Degrazia, Lau Siqueira, Liana Timm, Luiz Coronel, Mário Pirata, Oliveira Silveira, Jane Tutikian, Paulo Custódio, entre outros.
Casas, galpão utilizado para os festejos e até mesmo a capela em que os Arturos celebram seus rituais religiosos tiveram telhas e vidros destruÃdos, num episódio sem precedentes na comunidade.
Em 9 fe agosto de 1831. Ivan do Maxixe ofereceu-me um café.
Contato:
Gonzagão e aquele outro Zé apelidado Jackson.
Inicia no próximo dia 6 de outubro o Porto Poesia 2 no Shopping Total Av. Cristovão Colombo, 545 -- Porto Alegre -- RS. Com relação à parceria com o shopping o organizador diz que: Até o momento, mais de 98 profissionais da área da cultura e poetas têm a presença confirmada, entre eles, Armindo Trevisan, Alcy Cheuiche, Donaldo Schüller, José Eduardo Degrazia, Lau Siqueira, Liana Timm, Luiz Coronel, Mário Pirata, Oliveira Silveira, Jane Tutikian, Paulo Custódio, entre outros.
Casas, galpão utilizado para os festejos e até mesmo a capela em que os Arturos celebram seus rituais religiosos tiveram telhas e vidros destruÃdos, num episódio sem precedentes na comunidade.
Em 9 fe agosto de 1831. Ivan do Maxixe ofereceu-me um café.
Contato:
Gonzagão e aquele outro Zé apelidado Jackson.
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.006 s - in opennlp.tools.formats.ad.ADSentenceSampleStreamTest
[INFO] Running opennlp.tools.formats.ad.ADChunkSampleStreamTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 s - in opennlp.tools.formats.ad.ADChunkSampleStreamTest
[INFO] Running opennlp.tools.formats.ad.ADNameSampleStreamTest
[INFO] Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.018 s - in opennlp.tools.formats.ad.ADNameSampleStreamTest
[INFO] Running opennlp.tools.formats.ad.ADPOSSampleStreamTest
[INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.formats.ad.ADPOSSampleStreamTest
[INFO] Running opennlp.tools.formats.Conll02NameSampleStreamTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.formats.Conll02NameSampleStreamTest
[INFO] Running opennlp.tools.formats.Conll03NameSampleStreamTest
[INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.formats.Conll03NameSampleStreamTest
[INFO] Running opennlp.tools.formats.muc.DocumentSplitterStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.formats.muc.DocumentSplitterStreamTest
[INFO] Running opennlp.tools.formats.muc.SgmlParserTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.formats.muc.SgmlParserTest
[INFO] Running opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamTest
[INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.009 s - in opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamTest
[INFO] Running opennlp.tools.parser.PosSampleStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.parser.PosSampleStreamTest
[INFO] Running opennlp.tools.parser.treeinsert.ParserTest
Building dictionary
Indexing events using cutoff of 0
Computing event counts... done. 3802 events
Indexing... done.
Sorting and merging events... done. Reduced 3802 events to 3778.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 3778
Number of Outcomes: 40
Number of Predicates: 9485
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-14025.11968454068 0.035244608100999476
2: ... loglikelihood=-6355.22881921379 0.9781693845344556
3: ... loglikelihood=-3623.226394949416 0.9879011046817464
4: ... loglikelihood=-2455.0243201772505 0.9939505523408733
5: ... loglikelihood=-1837.2222429597516 0.9963177275118359
6: ... loglikelihood=-1462.408291818091 0.9976328248290374
7: ... loglikelihood=-1213.1039972400265 0.9984218832193582
8: ... loglikelihood=-1036.123418693312 0.9984218832193582
9: ... loglikelihood=-904.2926958315328 0.9986849026827985
10: ... loglikelihood=-802.4153908811487 0.9989479221462388
11: ... loglikelihood=-721.3769262366515 0.9992109416096792
12: ... loglikelihood=-655.3978558558811 0.9994739610731194
13: ... loglikelihood=-600.6444956271606 0.9997369805365597
14: ... loglikelihood=-554.477471060158 0.9997369805365597
15: ... loglikelihood=-515.0221249081778 0.9997369805365597
16: ... loglikelihood=-480.9112346809486 0.9997369805365597
17: ... loglikelihood=-451.1247159736323 0.9997369805365597
18: ... loglikelihood=-424.88630257952974 0.9997369805365597
19: ... loglikelihood=-401.5949594541775 0.9997369805365597
20: ... loglikelihood=-380.7781619254612 0.9997369805365597
21: ... loglikelihood=-362.0593363067681 0.9997369805365597
22: ... loglikelihood=-345.1347049102396 0.9997369805365597
23: ... loglikelihood=-329.75651766501215 0.9997369805365597
24: ... loglikelihood=-315.72070886042223 0.9997369805365597
25: ... loglikelihood=-302.85767598237396 1.0
26: ... loglikelihood=-291.0252977771338 1.0
27: ... loglikelihood=-280.1035825397407 1.0
28: ... loglikelihood=-269.9905196073066 1.0
29: ... loglikelihood=-260.598830118697 1.0
30: ... loglikelihood=-251.85339770498436 1.0
31: ... loglikelihood=-243.68921880252395 1.0
32: ... loglikelihood=-236.04975403522576 1.0
33: ... loglikelihood=-228.88559202845113 1.0
34: ... loglikelihood=-222.15335870654783 1.0
35: ... loglikelihood=-215.8148210260721 1.0
36: ... loglikelihood=-209.83614587369772 1.0
37: ... loglikelihood=-204.18728366559785 1.0
38: ... loglikelihood=-198.8414528320438 1.0
39: ... loglikelihood=-193.77470643044447 1.0
40: ... loglikelihood=-188.96556601203105 1.0
41: ... loglikelihood=-184.39471086848712 1.0
42: ... loglikelihood=-180.0447131218212 1.0
43: ... loglikelihood=-175.8998109526819 1.0
44: ... loglikelihood=-171.94571370781145 1.0
45: ... loglikelihood=-168.1694337746167 1.0
46: ... loglikelihood=-164.5591410270332 1.0
47: ... loglikelihood=-161.10403638217397 1.0
48: ... loglikelihood=-157.7942416008924 1.0
49: ... loglikelihood=-154.62070294669775 1.0
50: ... loglikelihood=-151.57510670981625 1.0
51: ... loglikelihood=-148.64980492439165 1.0
52: ... loglikelihood=-145.83774987086016 1.0
53: ... loglikelihood=-143.13243617367056 1.0
54: ... loglikelihood=-140.52784948524027 1.0
55: ... loglikelihood=-138.01842089753058 1.0
56: ... loglikelihood=-135.5989863482655 1.0
57: ... loglikelihood=-133.26475039417818 1.0
58: ... loglikelihood=-131.01125381225117 1.0
59: ... loglikelihood=-128.8343445647134 1.0
60: ... loglikelihood=-126.73015172681623 1.0
61: ... loglikelihood=-124.69506203020428 1.0
62: ... loglikelihood=-122.72569872041605 1.0
63: ... loglikelihood=-120.8189024661921 1.0
64: ... loglikelihood=-118.97171409168179 1.0
65: ... loglikelihood=-117.18135893145855 1.0
66: ... loglikelihood=-115.44523263291433 1.0
67: ... loglikelihood=-113.76088825202908 1.0
68: ... loglikelihood=-112.12602450693085 1.0
69: ... loglikelihood=-110.53847506969647 1.0
70: ... loglikelihood=-108.99619879075476 1.0
71: ... loglikelihood=-107.49727076238152 1.0
72: ... loglikelihood=-106.0398741383294 1.0
73: ... loglikelihood=-104.62229263590064 1.0
74: ... loglikelihood=-103.24290365487799 1.0
75: ... loglikelihood=-101.90017195482397 1.0
76: ... loglikelihood=-100.59264383853264 1.0
77: ... loglikelihood=-99.31894179492683 1.0
78: ... loglikelihood=-98.07775955955016 1.0
79: ... loglikelihood=-96.86785755512722 1.0
80: ... loglikelihood=-95.68805867844858 1.0
81: ... loglikelihood=-94.53724440325107 1.0
82: ... loglikelihood=-93.41435117173575 1.0
83: ... loglikelihood=-92.31836705006296 1.0
84: ... loglikelihood=-91.24832862553791 1.0
85: ... loglikelihood=-90.20331812531579 1.0
86: ... loglikelihood=-89.18246073839006 1.0
87: ... loglikelihood=-88.18492212428104 1.0
88: ... loglikelihood=-87.20990609341212 1.0
89: ... loglikelihood=-86.25665244550304 1.0
90: ... loglikelihood=-85.32443495353826 1.0
91: ... loglikelihood=-84.41255948200829 1.0
92: ... loglikelihood=-83.52036222905573 1.0
93: ... loglikelihood=-82.64720808314283 1.0
94: ... loglikelihood=-81.7924890855752 1.0
95: ... loglikelihood=-80.95562299103345 1.0
96: ... loglikelihood=-80.13605191887632 1.0
97: ... loglikelihood=-79.3332410885976 1.0
98: ... loglikelihood=-78.54667763337079 1.0
99: ... loglikelihood=-77.77586948610755 1.0
100: ... loglikelihood=-77.02034433289596 1.0
Indexing events using cutoff of 0
Computing event counts... done. 3802 events
Indexing... done.
Sorting and merging events... done. Reduced 3802 events to 3779.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 3779
Number of Outcomes: 24
Number of Predicates: 22305
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-12082.960662983642 5.260389268805891E-4
2: ... loglikelihood=-3447.0592410444283 0.9792214623882167
3: ... loglikelihood=-1913.3746339243721 0.9926354550236718
4: ... loglikelihood=-1308.3111233991588 0.9963177275118359
5: ... loglikelihood=-989.7888378865042 0.9989479221462388
6: ... loglikelihood=-795.2205450791924 0.9997369805365597
7: ... loglikelihood=-664.7349308493331 0.9997369805365597
8: ... loglikelihood=-571.4074423025517 1.0
9: ... loglikelihood=-501.44830169469014 1.0
10: ... loglikelihood=-447.10050453131157 1.0
11: ... loglikelihood=-403.679644668921 1.0
12: ... loglikelihood=-368.195641514701 1.0
13: ... loglikelihood=-338.6532165458835 1.0
14: ... loglikelihood=-313.6715501855549 1.0
15: ... loglikelihood=-292.2655537677727 1.0
16: ... loglikelihood=-273.7140957470723 1.0
17: ... loglikelihood=-257.4774416483314 1.0
18: ... loglikelihood=-243.1437669801775 1.0
19: ... loglikelihood=-230.3934875898931 1.0
20: ... loglikelihood=-218.97486290293173 1.0
21: ... loglikelihood=-208.68693315113094 1.0
22: ... loglikelihood=-199.3673470509481 1.0
23: ... loglikelihood=-190.8835228722394 1.0
24: ... loglikelihood=-183.1261267127466 1.0
25: ... loglikelihood=-176.00419040004843 1.0
26: ... loglikelihood=-169.44140838153163 1.0
27: ... loglikelihood=-163.37329488812034 1.0
28: ... loglikelihood=-157.7449772885865 1.0
29: ... loglikelihood=-152.5094657525364 1.0
30: ... loglikelihood=-147.62628359495477 1.0
31: ... loglikelihood=-143.06037363081936 1.0
32: ... loglikelihood=-138.78121781587933 1.0
33: ... loglikelihood=-134.7621232071516 1.0
34: ... loglikelihood=-130.97963872221058 1.0
35: ... loglikelihood=-127.41307558078957 1.0
36: ... loglikelihood=-124.0441105464558 1.0
37: ... loglikelihood=-120.85645575477054 1.0
38: ... loglikelihood=-117.83558244182748 1.0
39: ... loglikelihood=-114.96848857485382 1.0
40: ... loglikelihood=-112.24350245073063 1.0
41: ... loglikelihood=-109.65011592547873 1.0
42: ... loglikelihood=-107.17884218229119 1.0
43: ... loglikelihood=-104.82109392204612 1.0
44: ... loglikelihood=-102.56907863095564 1.0
45: ... loglikelihood=-100.4157081921672 1.0
46: ... loglikelihood=-98.354520597123 1.0
47: ... loglikelihood=-96.37961190519775 1.0
48: ... loglikelihood=-94.48557691720848 1.0
49: ... loglikelihood=-92.66745728565114 1.0
50: ... loglikelihood=-90.92069599423621 1.0
51: ... loglikelihood=-89.24109731104524 1.0
52: ... loglikelihood=-87.62479146090888 1.0
53: ... loglikelihood=-86.06820337924415 1.0
54: ... loglikelihood=-84.56802500638736 1.0
55: ... loglikelihood=-83.12119066193938 1.0
56: ... loglikelihood=-81.72485510596786 1.0
57: ... loglikelihood=-80.37637395030151 1.0
58: ... loglikelihood=-79.07328613063336 1.0
59: ... loglikelihood=-77.8132981901739 1.0
60: ... loglikelihood=-76.59427015955852 1.0
61: ... loglikelihood=-75.41420284648939 1.0
62: ... loglikelihood=-74.27122637316494 1.0
63: ... loglikelihood=-73.16358982044497 1.0
64: ... loglikelihood=-72.08965185576277 1.0
65: ... loglikelihood=-71.04787223709589 1.0
66: ... loglikelihood=-70.03680409867731 1.0
67: ... loglikelihood=-69.05508693553973 1.0
68: ... loglikelihood=-68.10144021391592 1.0
69: ... loglikelihood=-67.17465754311742 1.0
70: ... loglikelihood=-66.27360135199326 1.0
71: ... loglikelihood=-65.39719801956447 1.0
72: ... loglikelihood=-64.5444334151274 1.0
73: ... loglikelihood=-63.71434880809383 1.0
74: ... loglikelihood=-62.90603711217956 1.0
75: ... loglikelihood=-62.118639432378714 1.0
76: ... loglikelihood=-61.35134188654794 1.0
77: ... loglikelihood=-60.603372676364394 1.0
78: ... loglikelihood=-59.873999385062845 1.0
79: ... loglikelihood=-59.162526481653536 1.0
80: ... loglikelihood=-58.46829301340312 1.0
81: ... loglikelihood=-57.7906704701476 1.0
82: ... loglikelihood=-57.12906080565479 1.0
83: ... loglikelihood=-56.48289460268241 1.0
84: ... loglikelihood=-55.85162936966061 1.0
85: ... loglikelihood=-55.23474795808029 1.0
86: ... loglikelihood=-54.63175709069743 1.0
87: ... loglikelihood=-54.04218599156428 1.0
88: ... loglikelihood=-53.465585109750386 1.0
89: ... loglikelihood=-52.90152492932959 1.0
90: ... loglikelihood=-52.34959485888492 1.0
91: ... loglikelihood=-51.8094021943867 1.0
92: ... loglikelihood=-51.280571149824915 1.0
93: ... loglikelihood=-50.76274195047436 1.0
94: ... loglikelihood=-50.25556998410856 1.0
95: ... loglikelihood=-49.758725005866346 1.0
96: ... loglikelihood=-49.27189039285401 1.0
97: ... loglikelihood=-48.79476244486751 1.0
98: ... loglikelihood=-48.327049727940285 1.0
99: ... loglikelihood=-47.86847245766896 1.0
100: ... loglikelihood=-47.41876191952897 1.0
Training builder
Indexing events using cutoff of 0
Computing event counts... done. 3796 events
Indexing... done.
Sorting and merging events... done. Reduced 3796 events to 3784.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 3784
Number of Outcomes: 13
Number of Predicates: 89261
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-9736.547760924861 0.08956796628029505
2: ... loglikelihood=-3387.600095533745 0.9978925184404637
3: ... loglikelihood=-1904.4470973238526 0.9992096944151738
4: ... loglikelihood=-1298.5891436622605 0.9994731296101159
5: ... loglikelihood=-977.1613936354847 0.9994731296101159
6: ... loglikelihood=-780.3217860911567 0.9994731296101159
7: ... loglikelihood=-648.3181784853961 0.9997365648050579
8: ... loglikelihood=-554.0577140739655 0.9997365648050579
9: ... loglikelihood=-483.577575063769 0.9997365648050579
10: ... loglikelihood=-428.9902762882474 0.9997365648050579
11: ... loglikelihood=-385.5209476022714 0.9997365648050579
12: ... loglikelihood=-350.1181437216761 0.9997365648050579
13: ... loglikelihood=-320.74492846122416 0.9997365648050579
14: ... loglikelihood=-295.99194234646717 0.9997365648050579
15: ... loglikelihood=-274.8543138979273 0.9997365648050579
16: ... loglikelihood=-256.59703910470466 0.9997365648050579
17: ... loglikelihood=-240.67055586128586 0.9997365648050579
18: ... loglikelihood=-226.656020633372 0.9997365648050579
19: ... loglikelihood=-214.2288078776857 0.9997365648050579
20: ... loglikelihood=-203.1335462863279 0.9997365648050579
21: ... loglikelihood=-193.16666329306128 0.9997365648050579
22: ... loglikelihood=-184.16393682431274 0.9997365648050579
23: ... loglikelihood=-175.9914598967732 0.9997365648050579
24: ... loglikelihood=-168.53897726907377 0.9997365648050579
25: ... loglikelihood=-161.71490011245183 0.9997365648050579
26: ... loglikelihood=-155.44252689531515 0.9997365648050579
27: ... loglikelihood=-149.65714408547703 0.9997365648050579
28: ... loglikelihood=-144.30377723118974 0.9997365648050579
29: ... loglikelihood=-139.33542875796473 0.9997365648050579
30: ... loglikelihood=-134.71168415311456 0.9997365648050579
31: ... loglikelihood=-130.39759991571594 0.9997365648050579
32: ... loglikelihood=-126.36280912470748 0.9997365648050579
33: ... loglikelihood=-122.58079661013075 0.9997365648050579
34: ... loglikelihood=-119.02830742743178 0.9997365648050579
35: ... loglikelihood=-115.6848609346453 0.9997365648050579
36: ... loglikelihood=-112.53234914970855 0.9997365648050579
37: ... loglikelihood=-109.55470283954432 0.9997365648050579
38: ... loglikelihood=-106.7376123988891 0.9997365648050579
39: ... loglikelihood=-104.06829332371557 0.9997365648050579
40: ... loglikelihood=-101.53528819299935 0.9997365648050579
41: ... loglikelihood=-99.12829870375329 0.9997365648050579
42: ... loglikelihood=-96.83804257481917 0.9997365648050579
43: ... loglikelihood=-94.65613113126373 0.9997365648050579
44: ... loglikelihood=-92.57496416746818 0.9997365648050579
45: ... loglikelihood=-90.5876393111745 0.9997365648050579
46: ... loglikelihood=-88.68787360915636 0.9997365648050579
47: ... loglikelihood=-86.86993545525141 0.9997365648050579
48: ... loglikelihood=-85.1285853043689 0.9997365648050579
49: ... loglikelihood=-83.45902387790824 0.9997365648050579
50: ... loglikelihood=-81.8568467793735 0.9997365648050579
51: ... loglikelihood=-80.31800461358397 0.9997365648050579
52: ... loglikelihood=-78.83876784642675 0.9997365648050579
53: ... loglikelihood=-77.4156957606028 0.9997365648050579
54: ... loglikelihood=-76.04560896098903 0.9997365648050579
55: ... loglikelihood=-74.7255649649823 0.9997365648050579
56: ... loglikelihood=-73.45283648134408 0.9997365648050579
57: ... loglikelihood=-72.22489203828061 0.9997365648050579
58: ... loglikelihood=-71.03937866950538 0.9997365648050579
59: ... loglikelihood=-69.8941064075909 0.9997365648050579
60: ... loglikelihood=-68.78703436820324 0.9997365648050579
61: ... loglikelihood=-67.71625823793417 0.9997365648050579
62: ... loglikelihood=-66.67999900321813 0.9997365648050579
63: ... loglikelihood=-65.67659277897617 0.9997365648050579
64: ... loglikelihood=-64.70448161373848 0.9997365648050579
65: ... loglikelihood=-63.762205163531576 0.9997365648050579
66: ... loglikelihood=-62.84839314018559 0.9997365648050579
67: ... loglikelihood=-61.961758451255136 0.9997365648050579
68: ... loglikelihood=-61.101090958705214 0.9997365648050579
69: ... loglikelihood=-60.26525179216666 0.9997365648050579
70: ... loglikelihood=-59.453168160057274 0.9997365648050579
71: ... loglikelihood=-58.66382860840996 0.9997365648050579
72: ... loglikelihood=-57.89627868292761 0.9997365648050579
73: ... loglikelihood=-57.14961695478615 0.9997365648050579
74: ... loglikelihood=-56.42299137504537 0.9997365648050579
75: ... loglikelihood=-55.71559592637461 0.9997365648050579
76: ... loglikelihood=-55.026667544142285 0.9997365648050579
77: ... loglikelihood=-54.35548328190794 0.9997365648050579
78: ... loglikelihood=-53.7013576989349 0.9997365648050579
79: ... loglikelihood=-53.063640449686815 0.9997365648050579
80: ... loglikelihood=-52.44171405728917 0.9997365648050579
81: ... loglikelihood=-51.8349918547636 0.9997365648050579
82: ... loglikelihood=-51.24291607945078 0.9997365648050579
83: ... loglikelihood=-50.66495610746716 0.9997365648050579
84: ... loglikelihood=-50.10060681631968 0.9997365648050579
85: ... loglikelihood=-49.54938706493837 0.9997365648050579
86: ... loglikelihood=-49.01083828141097 0.9997365648050579
87: ... loglikelihood=-48.48452314959551 0.9997365648050579
88: ... loglikelihood=-47.9700243866302 0.9997365648050579
89: ... loglikelihood=-47.46694360406111 0.9997365648050579
90: ... loglikelihood=-46.974900245988806 0.9997365648050579
91: ... loglikelihood=-46.493530598209865 0.9997365648050579
92: ... loglikelihood=-46.02248686287049 0.9997365648050579
93: ... loglikelihood=-45.561436293628454 0.9997365648050579
94: ... loglikelihood=-45.1100603867419 0.9997365648050579
95: ... loglikelihood=-44.66805412391101 0.9997365648050579
96: ... loglikelihood=-44.23512526304147 0.9997365648050579
97: ... loglikelihood=-43.810993673421564 0.9997365648050579
98: ... loglikelihood=-43.39539071209577 0.9997365648050579
99: ... loglikelihood=-42.988058638485164 0.9997365648050579
100: ... loglikelihood=-42.58875006453395 0.9997365648050579
Training checker
Indexing events using cutoff of 0
Computing event counts... done. 3642 events
Indexing... done.
Sorting and merging events... done. Reduced 3642 events to 3631.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 3631
Number of Outcomes: 2
Number of Predicates: 10432
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-2524.442031599318 0.5238879736408567
2: ... loglikelihood=-1801.4647132489365 0.9448105436573312
3: ... loglikelihood=-1412.5615393301293 0.9634816035145525
4: ... loglikelihood=-1167.0078407871297 0.971444261394838
5: ... loglikelihood=-997.0167192345265 0.9758374519494784
6: ... loglikelihood=-871.821571819105 0.9799560680944536
7: ... loglikelihood=-775.4298534998773 0.9829763866007688
8: ... loglikelihood=-698.7154544729527 0.985722130697419
9: ... loglikelihood=-636.0860770164384 0.9870950027457441
10: ... loglikelihood=-583.9157247163146 0.9892915980230642
11: ... loglikelihood=-539.743559354033 0.9901153212520593
12: ... loglikelihood=-501.8359677873931 0.9917627677100495
13: ... loglikelihood=-468.9333608294623 0.9939593629873695
14: ... loglikelihood=-440.09664310920965 0.9950576606260296
15: ... loglikelihood=-414.6102411414529 0.9972542559033498
16: ... loglikelihood=-391.9186586818599 0.9980779791323449
17: ... loglikelihood=-371.58368123924475 0.9983525535420099
18: ... loglikelihood=-353.25473308635077 0.9986271279516749
19: ... loglikelihood=-336.6478638086818 0.9989017023613399
20: ... loglikelihood=-321.53054689448936 0.999176276771005
21: ... loglikelihood=-307.7104843361979 0.99945085118067
22: ... loglikelihood=-295.0272295848695 0.999725425590335
23: ... loglikelihood=-283.34582978699734 0.999725425590335
24: ... loglikelihood=-272.55193857013404 0.999725425590335
25: ... loglikelihood=-262.5480155764221 0.999725425590335
26: ... loglikelihood=-253.25033983081423 0.999725425590335
27: ... loglikelihood=-244.5866399598201 0.999725425590335
28: ... loglikelihood=-236.49419713734298 0.999725425590335
29: ... loglikelihood=-228.9183139942014 0.999725425590335
30: ... loglikelihood=-221.8110694984414 0.999725425590335
31: ... loglikelihood=-215.1302992397977 0.999725425590335
32: ... loglikelihood=-208.83875481319163 0.999725425590335
33: ... loglikelihood=-202.90340657910522 0.999725425590335
34: ... loglikelihood=-197.294862010588 0.999725425590335
35: ... loglikelihood=-191.9868778370286 0.999725425590335
36: ... loglikelihood=-186.95594877353685 0.999725425590335
37: ... loglikelihood=-182.180959147094 0.999725425590335
38: ... loglikelihood=-177.6428864611531 0.999725425590335
39: ... loglikelihood=-173.3245480721329 0.999725425590335
40: ... loglikelihood=-169.21038382706013 0.999725425590335
41: ... loglikelihood=-165.2862688373293 1.0
42: ... loglikelihood=-161.5393516186917 1.0
43: ... loglikelihood=-157.95791367228014 1.0
44: ... loglikelihood=-154.53124726134038 1.0
45: ... loglikelihood=-151.2495486883908 1.0
46: ... loglikelihood=-148.10382482481413 1.0
47: ... loglikelihood=-145.085811010247 1.0
48: ... loglikelihood=-142.18789873898302 1.0
49: ... loglikelihood=-139.40307179772395 1.0
50: ... loglikelihood=-136.72484972352177 1.0
51: ... loglikelihood=-134.147237620677 1.0
52: ... loglikelihood=-131.6646815170425 1.0
53: ... loglikelihood=-129.2720285588361 1.0
54: ... loglikelihood=-126.96449144265318 1.0
55: ... loglikelihood=-124.737616567362 1.0
56: ... loglikelihood=-122.58725545954545 1.0
57: ... loglikelihood=-120.5095390863615 1.0
58: ... loglikelihood=-118.50085472092294 1.0
59: ... loglikelihood=-116.55782506897225 1.0
60: ... loglikelihood=-114.67728940303418 1.0
61: ... loglikelihood=-112.85628648226347 1.0
62: ... loglikelihood=-111.09203906381107 1.0
63: ... loglikelihood=-109.38193983528663 1.0
64: ... loglikelihood=-107.72353861844684 1.0
65: ... loglikelihood=-106.1145307120579 1.0
66: ... loglikelihood=-104.55274625730758 1.0
67: ... loglikelihood=-103.03614052261904 1.0
68: ... loglikelihood=-101.56278501643068 1.0
69: ... loglikelihood=-100.1308593467596 1.0
70: ... loglikelihood=-98.73864375534127 1.0
71: ... loglikelihood=-97.38451226201533 1.0
72: ... loglikelihood=-96.06692636192982 1.0
73: ... loglikelihood=-94.78442922425401 1.0
74: ... loglikelihood=-93.5356403464442 1.0
75: ... loglikelihood=-92.31925062286814 1.0
76: ... loglikelihood=-91.13401779079197 1.0
77: ... loglikelihood=-89.9787622204719 1.0
78: ... loglikelihood=-88.85236301938119 1.0
79: ... loglikelihood=-87.75375442357449 1.0
80: ... loglikelihood=-86.68192245179097 1.0
81: ... loglikelihood=-85.63590180025503 1.0
82: ... loglikelihood=-84.61477295820495 1.0
83: ... loglikelihood=-83.61765952606657 1.0
84: ... loglikelihood=-82.64372571985697 1.0
85: ... loglikelihood=-81.69217404689847 1.0
86: ... loglikelihood=-80.76224313928962 1.0
87: ... loglikelihood=-79.85320573277066 1.0
88: ... loglikelihood=-78.96436677973978 1.0
89: ... loglikelihood=-78.09506168613714 1.0
90: ... loglikelihood=-77.24465466282086 1.0
91: ... loglikelihood=-76.41253718285247 1.0
92: ... loglikelihood=-75.59812653684054 1.0
93: ... loglikelihood=-74.80086447914637 1.0
94: ... loglikelihood=-74.02021595835936 1.0
95: ... loglikelihood=-73.25566792598181 1.0
96: ... loglikelihood=-72.50672821776318 1.0
97: ... loglikelihood=-71.77292450256715 1.0
98: ... loglikelihood=-71.05380329406256 1.0
99: ... loglikelihood=-70.34892902090304 1.0
100: ... loglikelihood=-69.65788315139935 1.0
Training attacher
Indexing events using cutoff of 5
Computing event counts... done. 12039 events
Indexing... done.
Sorting and merging events... done. Reduced 12039 events to 11979.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 11979
Number of Outcomes: 3
Number of Predicates: 18565
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-13226.193343273695 0.15848492399700972
2: ... loglikelihood=-7275.489743435534 0.8175097599468394
3: ... loglikelihood=-5534.86922818465 0.8337901819087964
4: ... loglikelihood=-4658.357500225352 0.8612010964365812
5: ... loglikelihood=-4090.51858420605 0.8833790181908796
6: ... loglikelihood=-3680.105294711914 0.9036464822659689
7: ... loglikelihood=-3365.515629582569 0.9151092283412243
8: ... loglikelihood=-3114.787941000719 0.9251598970014121
9: ... loglikelihood=-2909.08893388149 0.9333001079823906
10: ... loglikelihood=-2736.490732343702 0.9391145443973752
11: ... loglikelihood=-2589.0505466976256 0.9435999667746491
12: ... loglikelihood=-2461.2588085892166 0.9470055652462829
13: ... loglikelihood=-2349.157069156936 0.9494144031896337
14: ... loglikelihood=-2249.814650325764 0.9521554946424121
15: ... loglikelihood=-2161.006828145798 0.9548965860951907
16: ... loglikelihood=-2081.0096763314227 0.9570562339064707
17: ... loglikelihood=-2008.464381629817 0.9591328183403938
18: ... loglikelihood=-1942.284362790575 0.9605448957554614
19: ... loglikelihood=-1881.5897889498747 0.9617908464158152
20: ... loglikelihood=-1825.6602932824571 0.9634521139629537
21: ... loglikelihood=-1773.9001547426205 0.9647811280006645
22: ... loglikelihood=-1725.8122421080593 0.9661101420383753
23: ... loglikelihood=-1680.9782419134858 0.9671899659440153
24: ... loglikelihood=-1639.0434685554837 0.9680205997175845
25: ... loglikelihood=-1599.7050636400713 0.9689342968685106
26: ... loglikelihood=-1562.7027341207581 0.9698479940194368
27: ... loglikelihood=-1527.8114142011764 0.9710108813024337
28: ... loglikelihood=-1494.835400537262 0.971758451698646
29: ... loglikelihood=-1463.6036269155338 0.9724229587175015
30: ... loglikelihood=-1433.9658282961327 0.972921338981643
31: ... loglikelihood=-1405.7894048933165 0.9737519727552122
32: ... loglikelihood=-1378.956841597161 0.9747487332834953
33: ... loglikelihood=-1353.3635711637467 0.9752471135476368
34: ... loglikelihood=-1328.916194436155 0.9759946839438491
35: ... loglikelihood=-1305.53098965566 0.9766591909627046
36: ... loglikelihood=-1283.1326572749379 0.977240634604203
37: ... loglikelihood=-1261.653257731246 0.9775728881136307
38: ... loglikelihood=-1241.0313082003636 0.9779882050004153
39: ... loglikelihood=-1221.2110110339333 0.9783204585098431
40: ... loglikelihood=-1202.1415918281266 0.9785696486419138
41: ... loglikelihood=-1183.7767292126798 0.9788188387739846
42: ... loglikelihood=-1166.0740617364054 0.9793172190381261
43: ... loglikelihood=-1148.9947598476572 0.9796494725475537
44: ... loglikelihood=-1132.5031530718177 0.9798986626796246
45: ... loglikelihood=-1116.5664041829984 0.9802309161890522
46: ... loglikelihood=-1101.1542235412317 0.9803970429437661
47: ... loglikelihood=-1086.2386178846168 0.9807292964531937
48: ... loglikelihood=-1071.7936687813644 0.9810615499626215
49: ... loglikelihood=-1057.7953366993715 0.9812276767173354
50: ... loglikelihood=-1044.2212872723612 0.9817260569814769
51: ... loglikelihood=-1031.0507368578494 0.9820583104909045
52: ... loglikelihood=-1018.2643149114509 0.9824736273776892
53: ... loglikelihood=-1005.8439410616464 0.9828889442644738
54: ... loglikelihood=-993.7727150705917 0.9832211977739015
55: ... loglikelihood=-982.0348181203199 0.9832211977739015
56: ... loglikelihood=-970.6154240781116 0.983719578038043
57: ... loglikelihood=-959.5006195761524 0.9840518315474707
58: ... loglikelihood=-948.6773318947064 0.9843840850568985
59: ... loglikelihood=-938.1332637691871 0.9844671484342553
60: ... loglikelihood=-927.8568343532341 0.984799401943683
61: ... loglikelihood=-917.8371256658338 0.9850485920757538
62: ... loglikelihood=-908.0638339326536 0.9851316554531108
63: ... loglikelihood=-898.5272253026053 0.9853808455851815
64: ... loglikelihood=-889.2180954818516 0.9857130990946091
65: ... loglikelihood=-880.1277328806589 0.9862114793587508
66: ... loglikelihood=-871.247884914727 0.9865437328681784
67: ... loglikelihood=-862.5707271430877 0.9866267962455354
68: ... loglikelihood=-854.088834960264 0.9867929230002492
69: ... loglikelihood=-845.795157591479 0.9871251765096769
70: ... loglikelihood=-837.6829941675479 0.9874574300191046
71: ... loglikelihood=-829.745971680071 0.9877066201511754
72: ... loglikelihood=-821.9780246396741 0.9877066201511754
73: ... loglikelihood=-814.3733762787311 0.9879558102832461
74: ... loglikelihood=-806.9265211572349 0.9882880637926739
75: ... loglikelihood=-799.6322090454491 0.9887864440568154
76: ... loglikelihood=-792.4854299703813 0.9889525708115292
77: ... loglikelihood=-785.4814003247948 0.9892848243209569
78: ... loglikelihood=-778.6155499481048 0.9895340144530277
79: ... loglikelihood=-771.8835100976482 0.9897001412077415
80: ... loglikelihood=-765.2811022369921 0.9900323947171692
81: ... loglikelihood=-758.8043275752822 0.9901154580945262
82: ... loglikelihood=-752.4493572979197 0.990198521471883
83: ... loglikelihood=-746.2125234347455 0.99028158484924
84: ... loglikelihood=-740.0903103164942 0.9903646482265969
85: ... loglikelihood=-734.0793465754533 0.9904477116039538
86: ... loglikelihood=-728.1763976494522 0.9906138383586677
87: ... loglikelihood=-722.3783587525421 0.9906138383586677
88: ... loglikelihood=-716.6822482784244 0.9906138383586677
89: ... loglikelihood=-711.0852016057647 0.9909460918680953
90: ... loglikelihood=-705.5844652770683 0.9909460918680953
91: ... loglikelihood=-700.1773915249535 0.9909460918680953
92: ... loglikelihood=-694.8614331219891 0.9910291552454523
93: ... loglikelihood=-689.6341385318586 0.9911952820001662
94: ... loglikelihood=-684.4931473416069 0.991278345377523
95: ... loglikelihood=-679.4361859560289 0.991278345377523
96: ... loglikelihood=-674.4610635369459 0.9915275355095938
97: ... loglikelihood=-669.565668171107 0.9916105988869507
98: ... loglikelihood=-664.7479632520217 0.9916936622643077
99: ... loglikelihood=-660.005984061688 0.9919428523963785
100: ... loglikelihood=-655.3378345396238 0.9920259157737353
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 18.278 s - in opennlp.tools.parser.treeinsert.ParserTest
[INFO] Running opennlp.tools.parser.lang.en.HeadRulesTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.parser.lang.en.HeadRulesTest
[INFO] Running opennlp.tools.parser.ParseTest
[INFO] Tests run: 8, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.parser.ParseTest
[INFO] Running opennlp.tools.parser.chunking.ParserTest
Building dictionary
Training builder
Indexing events using cutoff of 0
Computing event counts... done. 4124 events
Indexing... done.
Sorting and merging events... done. Reduced 4124 events to 4025.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 4025
Number of Outcomes: 27
Number of Predicates: 91863
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-13592.031235401415 0.08656644034917556
2: ... loglikelihood=-4793.420320192966 0.9992725509214355
3: ... loglikelihood=-2600.8848953619768 1.0
4: ... loglikelihood=-1750.045477767272 1.0
5: ... loglikelihood=-1310.1270972763646 1.0
6: ... loglikelihood=-1044.1084000504386 1.0
7: ... loglikelihood=-866.8080477004522 1.0
8: ... loglikelihood=-740.5607790559478 1.0
9: ... loglikelihood=-646.2651884678914 1.0
10: ... loglikelihood=-573.2429264729399 1.0
11: ... loglikelihood=-515.0731629102786 1.0
12: ... loglikelihood=-467.67030523524215 1.0
13: ... loglikelihood=-428.3143844836594 1.0
14: ... loglikelihood=-395.12634396019246 1.0
15: ... loglikelihood=-366.76742079216825 1.0
16: ... loglikelihood=-342.2585839705873 1.0
17: ... loglikelihood=-320.8676809309304 1.0
18: ... loglikelihood=-302.0364649423978 1.0
19: ... loglikelihood=-285.3320037655221 1.0
20: ... loglikelihood=-270.4134830667508 1.0
21: ... loglikelihood=-257.00900916564456 1.0
22: ... loglikelihood=-244.899070900536 1.0
23: ... loglikelihood=-233.90453584508356 1.0
24: ... loglikelihood=-223.87779615644445 1.0
25: ... loglikelihood=-214.69614180594692 1.0
26: ... loglikelihood=-206.25673479075257 1.0
27: ... loglikelihood=-198.47275122882516 1.0
28: ... loglikelihood=-191.27038699384298 1.0
29: ... loglikelihood=-184.58650982482857 1.0
30: ... loglikelihood=-178.3668009674715 1.0
31: ... loglikelihood=-172.5642714372587 1.0
32: ... loglikelihood=-167.13806778539902 1.0
33: ... loglikelihood=-162.0525036314214 1.0
34: ... loglikelihood=-157.27626875589368 1.0
35: ... loglikelihood=-152.78177894911198 1.0
36: ... loglikelihood=-148.54463826980805 1.0
37: ... loglikelihood=-144.54319170237312 1.0
38: ... loglikelihood=-140.7581509877026 1.0
39: ... loglikelihood=-137.17228005043899 1.0
40: ... loglikelihood=-133.7701292472028 1.0
41: ... loglikelihood=-130.5378098286853 1.0
42: ... loglikelihood=-127.46280169836194 1.0
43: ... loglikelihood=-124.53378887646582 1.0
44: ... loglikelihood=-121.74051812480793 1.0
45: ... loglikelihood=-119.07367701957557 1.0
46: ... loglikelihood=-116.52478842367495 1.0
47: ... loglikelihood=-114.08611884381843 1.0
48: ... loglikelihood=-111.75059858845415 1.0
49: ... loglikelihood=-109.51175199228774 1.0
50: ... loglikelihood=-107.36363625819136 1.0
51: ... loglikelihood=-105.30078770073608 1.0
52: ... loglikelihood=-103.31817436760122 1.0
53: ... loglikelihood=-101.41115417366674 1.0
54: ... loglikelihood=-99.5754378141066 1.0
55: ... loglikelihood=-97.8070558322306 1.0
56: ... loglikelihood=-96.10232930923952 1.0
57: ... loglikelihood=-94.45784371971901 1.0
58: ... loglikelihood=-92.87042556113913 1.0
59: ... loglikelihood=-91.33712142005831 1.0
60: ... loglikelihood=-89.8551791837502 1.0
61: ... loglikelihood=-88.42203114510535 1.0
62: ... loglikelihood=-87.03527878192673 1.0
63: ... loglikelihood=-85.69267902019928 1.0
64: ... loglikelihood=-84.3921318152453 1.0
65: ... loglikelihood=-83.13166890556562 1.0
66: ... loglikelihood=-81.90944361220447 1.0
67: ... loglikelihood=-80.7237215719309 1.0
68: ... loglikelihood=-79.57287230601106 1.0
69: ... loglikelihood=-78.45536153794471 1.0
70: ... loglikelihood=-77.36974418367062 1.0
71: ... loglikelihood=-76.31465794652834 1.0
72: ... loglikelihood=-75.28881745695669 1.0
73: ... loglikelihood=-74.29100890361777 1.0
74: ... loglikelihood=-73.32008510850977 1.0
75: ... loglikelihood=-72.37496100380012 1.0
76: ... loglikelihood=-71.4546094726446 1.0
77: ... loglikelihood=-70.55805752026023 1.0
78: ... loglikelihood=-69.68438274503396 1.0
79: ... loglikelihood=-68.83271008258305 1.0
80: ... loglikelihood=-68.0022087984288 1.0
81: ... loglikelihood=-67.19208970741002 1.0
82: ... loglikelihood=-66.40160260011505 1.0
83: ... loglikelihood=-65.63003385856955 1.0
84: ... loglikelihood=-64.8767042451147 1.0
85: ... loglikelihood=-64.14096684997854 1.0
86: ... loglikelihood=-63.42220518438607 1.0
87: ... loglikelihood=-62.71983140730721 1.0
88: ... loglikelihood=-62.03328467502706 1.0
89: ... loglikelihood=-61.36202960372449 1.0
90: ... loglikelihood=-60.705554836115866 1.0
91: ... loglikelihood=-60.06337170403796 1.0
92: ... loglikelihood=-59.43501297955103 1.0
93: ... loglikelihood=-58.820031707794634 1.0
94: ... loglikelihood=-58.21800011540982 1.0
95: ... loglikelihood=-57.62850858888241 1.0
96: ... loglikelihood=-57.05116471762479 1.0
97: ... loglikelihood=-56.485592397056784 1.0
98: ... loglikelihood=-55.931430987339304 1.0
99: ... loglikelihood=-55.388334523768656 1.0
100: ... loglikelihood=-54.855970975156545 1.0
Indexing events using cutoff of 0
Computing event counts... done. 3802 events
Indexing... done.
Sorting and merging events... done. Reduced 3802 events to 3778.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 3778
Number of Outcomes: 40
Number of Predicates: 9485
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-14025.11968454068 0.035244608100999476
2: ... loglikelihood=-6355.22881921379 0.9781693845344556
3: ... loglikelihood=-3623.226394949416 0.9879011046817464
4: ... loglikelihood=-2455.0243201772505 0.9939505523408733
5: ... loglikelihood=-1837.2222429597516 0.9963177275118359
6: ... loglikelihood=-1462.408291818091 0.9976328248290374
7: ... loglikelihood=-1213.1039972400265 0.9984218832193582
8: ... loglikelihood=-1036.123418693312 0.9984218832193582
9: ... loglikelihood=-904.2926958315328 0.9986849026827985
10: ... loglikelihood=-802.4153908811487 0.9989479221462388
11: ... loglikelihood=-721.3769262366515 0.9992109416096792
12: ... loglikelihood=-655.3978558558811 0.9994739610731194
13: ... loglikelihood=-600.6444956271606 0.9997369805365597
14: ... loglikelihood=-554.477471060158 0.9997369805365597
15: ... loglikelihood=-515.0221249081778 0.9997369805365597
16: ... loglikelihood=-480.9112346809486 0.9997369805365597
17: ... loglikelihood=-451.1247159736323 0.9997369805365597
18: ... loglikelihood=-424.88630257952974 0.9997369805365597
19: ... loglikelihood=-401.5949594541775 0.9997369805365597
20: ... loglikelihood=-380.7781619254612 0.9997369805365597
21: ... loglikelihood=-362.0593363067681 0.9997369805365597
22: ... loglikelihood=-345.1347049102396 0.9997369805365597
23: ... loglikelihood=-329.75651766501215 0.9997369805365597
24: ... loglikelihood=-315.72070886042223 0.9997369805365597
25: ... loglikelihood=-302.85767598237396 1.0
26: ... loglikelihood=-291.0252977771338 1.0
27: ... loglikelihood=-280.1035825397407 1.0
28: ... loglikelihood=-269.9905196073066 1.0
29: ... loglikelihood=-260.598830118697 1.0
30: ... loglikelihood=-251.85339770498436 1.0
31: ... loglikelihood=-243.68921880252395 1.0
32: ... loglikelihood=-236.04975403522576 1.0
33: ... loglikelihood=-228.88559202845113 1.0
34: ... loglikelihood=-222.15335870654783 1.0
35: ... loglikelihood=-215.8148210260721 1.0
36: ... loglikelihood=-209.83614587369772 1.0
37: ... loglikelihood=-204.18728366559785 1.0
38: ... loglikelihood=-198.8414528320438 1.0
39: ... loglikelihood=-193.77470643044447 1.0
40: ... loglikelihood=-188.96556601203105 1.0
41: ... loglikelihood=-184.39471086848712 1.0
42: ... loglikelihood=-180.0447131218212 1.0
43: ... loglikelihood=-175.8998109526819 1.0
44: ... loglikelihood=-171.94571370781145 1.0
45: ... loglikelihood=-168.1694337746167 1.0
46: ... loglikelihood=-164.5591410270332 1.0
47: ... loglikelihood=-161.10403638217397 1.0
48: ... loglikelihood=-157.7942416008924 1.0
49: ... loglikelihood=-154.62070294669775 1.0
50: ... loglikelihood=-151.57510670981625 1.0
51: ... loglikelihood=-148.64980492439165 1.0
52: ... loglikelihood=-145.83774987086016 1.0
53: ... loglikelihood=-143.13243617367056 1.0
54: ... loglikelihood=-140.52784948524027 1.0
55: ... loglikelihood=-138.01842089753058 1.0
56: ... loglikelihood=-135.5989863482655 1.0
57: ... loglikelihood=-133.26475039417818 1.0
58: ... loglikelihood=-131.01125381225117 1.0
59: ... loglikelihood=-128.8343445647134 1.0
60: ... loglikelihood=-126.73015172681623 1.0
61: ... loglikelihood=-124.69506203020428 1.0
62: ... loglikelihood=-122.72569872041605 1.0
63: ... loglikelihood=-120.8189024661921 1.0
64: ... loglikelihood=-118.97171409168179 1.0
65: ... loglikelihood=-117.18135893145855 1.0
66: ... loglikelihood=-115.44523263291433 1.0
67: ... loglikelihood=-113.76088825202908 1.0
68: ... loglikelihood=-112.12602450693085 1.0
69: ... loglikelihood=-110.53847506969647 1.0
70: ... loglikelihood=-108.99619879075476 1.0
71: ... loglikelihood=-107.49727076238152 1.0
72: ... loglikelihood=-106.0398741383294 1.0
73: ... loglikelihood=-104.62229263590064 1.0
74: ... loglikelihood=-103.24290365487799 1.0
75: ... loglikelihood=-101.90017195482397 1.0
76: ... loglikelihood=-100.59264383853264 1.0
77: ... loglikelihood=-99.31894179492683 1.0
78: ... loglikelihood=-98.07775955955016 1.0
79: ... loglikelihood=-96.86785755512722 1.0
80: ... loglikelihood=-95.68805867844858 1.0
81: ... loglikelihood=-94.53724440325107 1.0
82: ... loglikelihood=-93.41435117173575 1.0
83: ... loglikelihood=-92.31836705006296 1.0
84: ... loglikelihood=-91.24832862553791 1.0
85: ... loglikelihood=-90.20331812531579 1.0
86: ... loglikelihood=-89.18246073839006 1.0
87: ... loglikelihood=-88.18492212428104 1.0
88: ... loglikelihood=-87.20990609341212 1.0
89: ... loglikelihood=-86.25665244550304 1.0
90: ... loglikelihood=-85.32443495353826 1.0
91: ... loglikelihood=-84.41255948200829 1.0
92: ... loglikelihood=-83.52036222905573 1.0
93: ... loglikelihood=-82.64720808314283 1.0
94: ... loglikelihood=-81.7924890855752 1.0
95: ... loglikelihood=-80.95562299103345 1.0
96: ... loglikelihood=-80.13605191887632 1.0
97: ... loglikelihood=-79.3332410885976 1.0
98: ... loglikelihood=-78.54667763337079 1.0
99: ... loglikelihood=-77.77586948610755 1.0
100: ... loglikelihood=-77.02034433289596 1.0
Indexing events using cutoff of 0
Computing event counts... done. 3802 events
Indexing... done.
Sorting and merging events... done. Reduced 3802 events to 3779.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 3779
Number of Outcomes: 24
Number of Predicates: 22305
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-12082.960662983642 5.260389268805891E-4
2: ... loglikelihood=-3447.0592410444283 0.9792214623882167
3: ... loglikelihood=-1913.3746339243721 0.9926354550236718
4: ... loglikelihood=-1308.3111233991588 0.9963177275118359
5: ... loglikelihood=-989.7888378865042 0.9989479221462388
6: ... loglikelihood=-795.2205450791924 0.9997369805365597
7: ... loglikelihood=-664.7349308493331 0.9997369805365597
8: ... loglikelihood=-571.4074423025517 1.0
9: ... loglikelihood=-501.44830169469014 1.0
10: ... loglikelihood=-447.10050453131157 1.0
11: ... loglikelihood=-403.679644668921 1.0
12: ... loglikelihood=-368.195641514701 1.0
13: ... loglikelihood=-338.6532165458835 1.0
14: ... loglikelihood=-313.6715501855549 1.0
15: ... loglikelihood=-292.2655537677727 1.0
16: ... loglikelihood=-273.7140957470723 1.0
17: ... loglikelihood=-257.4774416483314 1.0
18: ... loglikelihood=-243.1437669801775 1.0
19: ... loglikelihood=-230.3934875898931 1.0
20: ... loglikelihood=-218.97486290293173 1.0
21: ... loglikelihood=-208.68693315113094 1.0
22: ... loglikelihood=-199.3673470509481 1.0
23: ... loglikelihood=-190.8835228722394 1.0
24: ... loglikelihood=-183.1261267127466 1.0
25: ... loglikelihood=-176.00419040004843 1.0
26: ... loglikelihood=-169.44140838153163 1.0
27: ... loglikelihood=-163.37329488812034 1.0
28: ... loglikelihood=-157.7449772885865 1.0
29: ... loglikelihood=-152.5094657525364 1.0
30: ... loglikelihood=-147.62628359495477 1.0
31: ... loglikelihood=-143.06037363081936 1.0
32: ... loglikelihood=-138.78121781587933 1.0
33: ... loglikelihood=-134.7621232071516 1.0
34: ... loglikelihood=-130.97963872221058 1.0
35: ... loglikelihood=-127.41307558078957 1.0
36: ... loglikelihood=-124.0441105464558 1.0
37: ... loglikelihood=-120.85645575477054 1.0
38: ... loglikelihood=-117.83558244182748 1.0
39: ... loglikelihood=-114.96848857485382 1.0
40: ... loglikelihood=-112.24350245073063 1.0
41: ... loglikelihood=-109.65011592547873 1.0
42: ... loglikelihood=-107.17884218229119 1.0
43: ... loglikelihood=-104.82109392204612 1.0
44: ... loglikelihood=-102.56907863095564 1.0
45: ... loglikelihood=-100.4157081921672 1.0
46: ... loglikelihood=-98.354520597123 1.0
47: ... loglikelihood=-96.37961190519775 1.0
48: ... loglikelihood=-94.48557691720848 1.0
49: ... loglikelihood=-92.66745728565114 1.0
50: ... loglikelihood=-90.92069599423621 1.0
51: ... loglikelihood=-89.24109731104524 1.0
52: ... loglikelihood=-87.62479146090888 1.0
53: ... loglikelihood=-86.06820337924415 1.0
54: ... loglikelihood=-84.56802500638736 1.0
55: ... loglikelihood=-83.12119066193938 1.0
56: ... loglikelihood=-81.72485510596786 1.0
57: ... loglikelihood=-80.37637395030151 1.0
58: ... loglikelihood=-79.07328613063336 1.0
59: ... loglikelihood=-77.8132981901739 1.0
60: ... loglikelihood=-76.59427015955852 1.0
61: ... loglikelihood=-75.41420284648939 1.0
62: ... loglikelihood=-74.27122637316494 1.0
63: ... loglikelihood=-73.16358982044497 1.0
64: ... loglikelihood=-72.08965185576277 1.0
65: ... loglikelihood=-71.04787223709589 1.0
66: ... loglikelihood=-70.03680409867731 1.0
67: ... loglikelihood=-69.05508693553973 1.0
68: ... loglikelihood=-68.10144021391592 1.0
69: ... loglikelihood=-67.17465754311742 1.0
70: ... loglikelihood=-66.27360135199326 1.0
71: ... loglikelihood=-65.39719801956447 1.0
72: ... loglikelihood=-64.5444334151274 1.0
73: ... loglikelihood=-63.71434880809383 1.0
74: ... loglikelihood=-62.90603711217956 1.0
75: ... loglikelihood=-62.118639432378714 1.0
76: ... loglikelihood=-61.35134188654794 1.0
77: ... loglikelihood=-60.603372676364394 1.0
78: ... loglikelihood=-59.873999385062845 1.0
79: ... loglikelihood=-59.162526481653536 1.0
80: ... loglikelihood=-58.46829301340312 1.0
81: ... loglikelihood=-57.7906704701476 1.0
82: ... loglikelihood=-57.12906080565479 1.0
83: ... loglikelihood=-56.48289460268241 1.0
84: ... loglikelihood=-55.85162936966061 1.0
85: ... loglikelihood=-55.23474795808029 1.0
86: ... loglikelihood=-54.63175709069743 1.0
87: ... loglikelihood=-54.04218599156428 1.0
88: ... loglikelihood=-53.465585109750386 1.0
89: ... loglikelihood=-52.90152492932959 1.0
90: ... loglikelihood=-52.34959485888492 1.0
91: ... loglikelihood=-51.8094021943867 1.0
92: ... loglikelihood=-51.280571149824915 1.0
93: ... loglikelihood=-50.76274195047436 1.0
94: ... loglikelihood=-50.25556998410856 1.0
95: ... loglikelihood=-49.758725005866346 1.0
96: ... loglikelihood=-49.27189039285401 1.0
97: ... loglikelihood=-48.79476244486751 1.0
98: ... loglikelihood=-48.327049727940285 1.0
99: ... loglikelihood=-47.86847245766896 1.0
100: ... loglikelihood=-47.41876191952897 1.0
Training checker
Indexing events using cutoff of 0
Computing event counts... done. 4124 events
Indexing... done.
Sorting and merging events... done. Reduced 4124 events to 4033.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 4033
Number of Outcomes: 2
Number of Predicates: 16180
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-2858.538972629298 0.542192046556741
2: ... loglikelihood=-2348.4654241029853 0.9827837051406402
3: ... loglikelihood=-1981.4576625751292 0.9852085354025218
4: ... loglikelihood=-1706.6042878840851 0.9864209505334627
5: ... loglikelihood=-1494.2512538524516 0.9876333656644035
6: ... loglikelihood=-1326.021202982495 0.9886032977691561
7: ... loglikelihood=-1189.931911538763 0.9886032977691561
8: ... loglikelihood=-1077.8677398640282 0.9895732298739088
9: ... loglikelihood=-984.1638065300245 0.9907856450048497
10: ... loglikelihood=-904.7645570196801 0.9919980601357905
11: ... loglikelihood=-836.7018083719361 0.9924830261881669
12: ... loglikelihood=-777.7601991887691 0.9934529582929195
13: ... loglikelihood=-726.2569077755403 0.9944228903976722
14: ... loglikelihood=-680.89318715564 0.9953928225024248
15: ... loglikelihood=-640.6521985223652 0.9966052376333656
16: ... loglikelihood=-604.7273652614181 0.9973326867119302
17: ... loglikelihood=-572.4712546321105 0.9975751697381183
18: ... loglikelihood=-543.3585214757826 0.9980601357904947
19: ... loglikelihood=-516.9586487228017 0.9990300678952473
20: ... loglikelihood=-492.9156205458054 0.9992725509214355
21: ... loglikelihood=-470.932572966937 0.9992725509214355
22: ... loglikelihood=-450.7600666841058 0.9995150339476236
23: ... loglikelihood=-432.1870292724021 1.0
24: ... loglikelihood=-415.0336878566874 1.0
25: ... loglikelihood=-399.14600246353683 1.0
26: ... loglikelihood=-384.39124253134275 1.0
27: ... loglikelihood=-370.65444271574796 1.0
28: ... loglikelihood=-357.8355412182172 1.0
29: ... loglikelihood=-345.84705245329985 1.0
30: ... loglikelihood=-334.6121614238763 1.0
31: ... loglikelihood=-324.06315344595515 1.0
32: ... loglikelihood=-314.14011245964014 1.0
33: ... loglikelihood=-304.7898359069724 1.0
34: ... loglikelihood=-295.96492534472213 1.0
35: ... loglikelihood=-287.6230205165164 1.0
36: ... loglikelihood=-279.7261512022977 1.0
37: ... loglikelihood=-272.2401862808949 1.0
38: ... loglikelihood=-265.13436344099784 1.0
39: ... loglikelihood=-258.3808861216309 1.0
40: ... loglikelihood=-251.95457675313506 1.0
41: ... loglikelihood=-245.8325773518532 1.0
42: ... loglikelihood=-239.99409010866836 1.0
43: ... loglikelihood=-234.42015188896445 1.0
44: ... loglikelihood=-229.09343759488138 1.0
45: ... loglikelihood=-223.99808818090978 1.0
46: ... loglikelihood=-219.11955980003776 1.0
47: ... loglikelihood=-214.44449112051814 1.0
48: ... loglikelihood=-209.9605863171981 1.0
49: ... loglikelihood=-205.6565116249656 1.0
50: ... loglikelihood=-201.52180366052525 1.0
51: ... loglikelihood=-197.54678798435498 1.0
52: ... loglikelihood=-193.72250659687353 1.0
53: ... loglikelihood=-190.04065324945583 1.0
54: ... loglikelihood=-186.49351560804357 1.0
55: ... loglikelihood=-183.0739234398705 1.0
56: ... loglikelihood=-179.7752021064012 1.0
57: ... loglikelihood=-176.59113074122067 1.0
58: ... loglikelihood=-173.5159045732028 1.0
59: ... loglikelihood=-170.5441009250235 1.0
60: ... loglikelihood=-167.67064847682167 1.0
61: ... loglikelihood=-164.89079943623176 1.0
62: ... loglikelihood=-162.2001043002085 1.0
63: ... loglikelihood=-159.5943889323391 1.0
64: ... loglikelihood=-157.06973371236617 1.0
65: ... loglikelihood=-154.6224545433875 1.0
66: ... loglikelihood=-152.2490855271118 1.0
67: ... loglikelihood=-149.9463631393353 1.0
68: ... loglikelihood=-147.71121175673844 1.0
69: ... loglikelihood=-145.54073040273667 1.0
70: ... loglikelihood=-143.432180594671 1.0
71: ... loglikelihood=-141.38297518738955 1.0
72: ... loglikelihood=-139.3906681195279 1.0
73: ... loglikelihood=-137.45294497869855 1.0
74: ... loglikelihood=-135.56761431056034 1.0
75: ... loglikelihood=-133.7325996044474 1.0
76: ... loglikelihood=-131.94593189512284 1.0
77: ... loglikelihood=-130.20574292626853 1.0
78: ... loglikelihood=-128.51025882675586 1.0
79: ... loglikelihood=-126.8577942555139 1.0
80: ... loglikelihood=-125.24674697512485 1.0
81: ... loglikelihood=-123.67559281808222 1.0
82: ... loglikelihood=-122.14288101306154 1.0
83: ... loglikelihood=-120.6472298416272 1.0
84: ... loglikelihood=-119.18732259851602 1.0
85: ... loglikelihood=-117.7619038311158 1.0
86: ... loglikelihood=-116.36977583594624 1.0
87: ... loglikelihood=-115.00979539196301 1.0
88: ... loglikelihood=-113.68087071225357 1.0
89: ... loglikelihood=-112.38195859736085 1.0
90: ... loglikelihood=-111.11206177486706 1.0
91: ... loglikelihood=-109.87022641123149 1.0
92: ... loglikelihood=-108.65553978305496 1.0
93: ... loglikelihood=-107.46712809599642 1.0
94: ... loglikelihood=-106.30415444058973 1.0
95: ... loglikelihood=-105.16581687505291 1.0
96: ... loglikelihood=-104.05134662601601 1.0
97: ... loglikelihood=-102.96000639882 1.0
98: ... loglikelihood=-101.89108878969189 1.0
99: ... loglikelihood=-100.84391479273489 1.0
100: ... loglikelihood=-99.81783239520449 1.0
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 12.817 s - in opennlp.tools.parser.chunking.ParserTest
[INFO] Running opennlp.tools.parser.ChunkSampleStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 s - in opennlp.tools.parser.ChunkSampleStreamTest
[INFO] Running opennlp.tools.parser.ParseSampleStreamTest
[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.parser.ParseSampleStreamTest
[INFO]
[INFO] Results:
[INFO]
[INFO] Tests run: 309, Failures: 0, Errors: 0, Skipped: 0
[INFO]
[INFO]
[INFO] --- maven-bundle-plugin:3.5.0:bundle (default-bundle) @ opennlp-tools ---
[WARNING] Bundle org.apache.opennlp:opennlp-tools:bundle:1.5.3 : Export opennlp.tools.formats, has 3, private references [opennlp.tools.cmdline, opennlp.tools.cmdline.params, opennlp.tools.coref],
[WARNING] Bundle org.apache.opennlp:opennlp-tools:bundle:1.5.3 : Export opennlp.tools.formats.muc, has 1, private references [opennlp.tools.coref],
[WARNING] Bundle org.apache.opennlp:opennlp-tools:bundle:1.5.3 : Export opennlp.tools.lang.english, has 1, private references [opennlp.tools.coref],
[INFO]
[INFO] ------------------< org.apache.opennlp:opennlp-uima >-------------------
[INFO] Building Apache OpenNLP UIMA Annotators 1.5.3 [4/4]
[INFO] --------------------------------[ jar ]---------------------------------
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[INFO] Changes detected - recompiling the module!
[INFO] Compiling 50 source files to /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/target/classes
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/src/main/java/opennlp/uima/postag/POSTaggerTrainer.java:[122,25] POSDictionary(java.io.BufferedReader,boolean) in opennlp.tools.postag.POSDictionary has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/src/main/java/opennlp/uima/postag/POSTaggerTrainer.java:[209,42] train(java.lang.String,opennlp.tools.util.ObjectStream,opennlp.tools.util.model.ModelType,opennlp.tools.postag.POSDictionary,opennlp.tools.dictionary.Dictionary,int,int) in opennlp.tools.postag.POSTaggerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/src/main/java/opennlp/uima/namefind/NameFinderTrainer.java:[383,55] unchecked generic array creation for varargs parameter of type opennlp.tools.util.ObjectStream[]
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/src/main/java/opennlp/uima/chunker/ChunkerTrainer.java:[206,42] train(java.lang.String,opennlp.tools.util.ObjectStream,int,int) in opennlp.tools.chunker.ChunkerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/src/main/java/opennlp/uima/postag/POSTagger.java:[175,50] tag(java.util.List) in opennlp.tools.postag.POSTaggerME has been deprecated
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/src/main/java/opennlp/uima/tokenize/TokenizerTrainer.java:[248,55] unchecked generic array creation for varargs parameter of type opennlp.tools.util.ObjectStream[]
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/src/main/java/opennlp/uima/tokenize/TokenizerTrainer.java:[256,31] train(java.lang.String,opennlp.tools.util.ObjectStream,boolean) in opennlp.tools.tokenize.TokenizerME has been deprecated
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[INFO] Tests are skipped.
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[INFO] Building jar: /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/target/opennlp-uima-1.5.3.jar
[INFO]
[INFO] ---------------------< org.apache.opennlp:opennlp >---------------------
[INFO] Building Apache OpenNLP Reactor 1.5.3 [5/4]
[INFO] --------------------------------[ pom ]---------------------------------
[INFO]
[INFO] --- xmvn-mojo:3.0.0:install (default-cli) @ opennlp ---
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Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/postag/class-use/POSModelResourceImpl.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/postag/class-use/POSTagger.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/maxent/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/maxent/io/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/maxent/quasinewton/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/model/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/perceptron/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/chunker/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/chunker/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/coref/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/dictionary/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/doccat/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/namefind/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/params/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/parser/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/postag/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/sentdetect/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/cmdline/tokenizer/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/coref/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/coref/mention/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/coref/resolver/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/coref/sim/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/dictionary/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/dictionary/serializer/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/doccat/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/formats/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/formats/ad/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/formats/convert/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/formats/frenchtreebank/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/formats/muc/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/lang/english/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/lang/spanish/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/namefind/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/ngram/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/parser/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/parser/chunking/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/parser/lang/en/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/parser/treeinsert/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/postag/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/sentdetect/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/sentdetect/lang/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/sentdetect/lang/th/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/stemmer/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/tokenize/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/tokenize/lang/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/tokenize/lang/en/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/util/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/util/eval/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/util/ext/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/util/featuregen/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/tools/util/model/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/chunker/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/doccat/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/namefind/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/normalizer/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/parser/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/postag/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/sentdetect/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/tokenize/package-use.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/opennlp/uima/util/package-use.html...
Building index for all the packages and classes...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/overview-tree.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/index-all.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/deprecated-list.html...
Building index for all classes...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/allclasses-frame.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/allclasses-noframe.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/index.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/overview-summary.html...
Generating /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp/target/site/apidocs/help-doc.html...
20 warnings
[WARNING] Javadoc Warnings
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/chunker/ChunkerME.java:225: warning - Tag @link: can't find train(String, ObjectStream, ChunkerContextGenerator, TrainingParameters, ChunkerFactory) in opennlp.tools.chunker.ChunkerME
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/sentdetect/SDCrossValidator.java:97: warning - Tag @link: can't find SDCrossValidator(String, TrainingParameters, Dictionary, SentenceDetectorEvaluationMonitor...) in opennlp.tools.sentdetect.SDCrossValidator
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/sentdetect/SDCrossValidator.java:77: warning - Tag @link: can't find SDCrossValidator(String, TrainingParameters, Dictionary, SentenceDetectorEvaluationMonitor...) in opennlp.tools.sentdetect.SDCrossValidator
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/sentdetect/SDCrossValidator.java:87: warning - Tag @link: can't find SDCrossValidator(String, TrainingParameters, Dictionary, SentenceDetectorEvaluationMonitor...) in opennlp.tools.sentdetect.SDCrossValidator
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/tokenize/Detokenizer.java:72: warning - @return tag has no arguments.
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java:367: warning - Tag @link: can't find train(String, ObjectStream, TokenizerFactory, TrainingParameters) in opennlp.tools.tokenize.TokenizerME
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java:340: warning - Tag @link: can't find train(String, ObjectStream, TokenizerFactory, TrainingParameters) in opennlp.tools.tokenize.TokenizerME
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java:275: warning - Tag @link: can't find train(String, ObjectStream, TokenizerFactory, TrainingParameters) in opennlp.tools.tokenize.TokenizerME
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerME.java:300: warning - Tag @link: can't find train(String, ObjectStream, TokenizerFactory, TrainingParameters) in opennlp.tools.tokenize.TokenizerME
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerModel.java:111: warning - Tag @link: can't find TokenizerModel(String, AbstractModel, Map, TokenizerFactory) in opennlp.tools.tokenize.TokenizerModel
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerModel.java:95: warning - Tag @link: can't find TokenizerModel(String, AbstractModel, Map, TokenizerFactory) in opennlp.tools.tokenize.TokenizerModel
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokenizerModel.java:76: warning - Tag @link: can't find TokenizerModel(String, AbstractModel, Map, TokenizerFactory) in opennlp.tools.tokenize.TokenizerModel
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokSpanEventStream.java:98: warning - @param argument "tokens" is not a parameter name.
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/tokenize/TokSpanEventStream.java:98: warning - @param argument "text" is not a parameter name.
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/util/BaseToolFactory.java:37: warning - Tag @link: can't find BaseToolFactory(Map) in opennlp.tools.util.BaseToolFactory
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/util/BaseToolFactory.java:63: warning - Tag @link: can't find createArtifactSerializersMap in opennlp.tools.util.model.BaseModel
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/util/ext/ExtensionLoader.java:54: warning - @return tag has no arguments.
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/util/ext/ExtensionNotLoadedException.java:46: warning - @return tag has no arguments.
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/src/main/java/opennlp/tools/postag/POSTaggerCrossValidator.java:122: warning - Tag @link: can't find POSTaggerCrossValidator(String, TrainingParameters, POSDictionary, Integer, String, POSTaggerEvaluationMonitor...) in opennlp.tools.postag.POSTaggerCrossValidator
[WARNING] /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/src/main/java/opennlp/uima/util/UimaUtil.java:93: warning - @param argument "containerAnnotationType" is not a parameter name.
[INFO]
[INFO] --- xmvn-mojo:3.0.0:builddep (default-cli) @ opennlp ---
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO]
[INFO] Apache OpenNLP Reactor 1.5.3 ....................... SUCCESS [ 8.001 s]
[INFO] Apache OpenNLP Maxent 3.0.3 ........................ SUCCESS [ 11.829 s]
[INFO] Apache OpenNLP Tools ............................... SUCCESS [ 42.792 s]
[INFO] Apache OpenNLP UIMA Annotators 1.5.3 ............... SUCCESS [ 0.580 s]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 01:04 min
[INFO] Finished at: 2021-07-25T13:00:42Z
[INFO] ------------------------------------------------------------------------
-----BEGIN MAVEN BUILD DEPENDENCIES-----
H4sIAAAAAAACA72TMW/DIBCF9/wK6h3c7o6jtpOHTlGlrsSc6VlwWBgc59/XKLHidnCjVOrGvXu6
7x2CYjdawwbwPTraZk/iMWNAtVNIepu97/nz/rWqsl25KR44Zy8RjWIKOiA12RB6poHAywCKHU7s
420gxvnkXnrKDWNX4ZTKSdDexa5SpfNayE7Wn1Dks3Z2SB+wkXWYhNmwkM4eGANQCl92zhb5tUzM
/Dv0lgyiAYPjShIrByB+iKQM8M5EjfQz1u3cNhKGFdilf+94giD6RrRH59V0XgMdydzPSdfneo0r
gNkiaufhv0g2TcFo/8a7PIyIVq5gU7vlv2+3qNLX+ALOkltfgQMAAA==
-----END MAVEN BUILD DEPENDENCIES-----
+ exit 0
Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.75927
+ umask 022
+ /bin/mkdir -p /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ /bin/chmod -Rf u+rwX -- /usr/src/tmp/opennlp-buildroot
+ :
+ /bin/rm -rf -- /usr/src/tmp/opennlp-buildroot
+ PATH=/usr/libexec/rpm-build:/usr/src/bin:/bin:/usr/bin:/usr/X11R6/bin:/usr/games
+ cd apache-opennlp-1.5.3-src
+ xmvn-install -R .xmvn-reactor -n opennlp -d /usr/src/tmp/opennlp-buildroot
[INFO] Installing artifact org.apache.opennlp:opennlp:pom:1.5.3
[INFO] Installing artifact org.apache.opennlp:opennlp-maxent:jar:3.0.3
[INFO] Installing artifact org.apache.opennlp:opennlp-maxent:pom:3.0.3
[INFO] Installing artifact org.apache.opennlp:opennlp-tools:jar:1.5.3
[INFO] Installing artifact org.apache.opennlp:opennlp-tools:pom:1.5.3
[INFO] Installing artifact org.apache.opennlp:opennlp-uima:jar:1.5.3
[INFO] Installing artifact org.apache.opennlp:opennlp-uima:pom:1.5.3
[INFO] Installation successful
+ jdir=target/site/apidocs
+ '[' -d .xmvn/apidocs ']'
+ jdir=.xmvn/apidocs
+ /bin/mkdir -p /usr/src/tmp/opennlp-buildroot/usr/share/license
+ '[' -d .xmvn/apidocs ']'
+ install -dm755 /usr/src/tmp/opennlp-buildroot/usr/share/javadoc/opennlp
+ cp -pr .xmvn/apidocs/allclasses-frame.html .xmvn/apidocs/allclasses-noframe.html .xmvn/apidocs/constant-values.html .xmvn/apidocs/deprecated-list.html .xmvn/apidocs/help-doc.html .xmvn/apidocs/index-all.html .xmvn/apidocs/index.html .xmvn/apidocs/opennlp .xmvn/apidocs/overview-frame.html .xmvn/apidocs/overview-summary.html .xmvn/apidocs/overview-tree.html .xmvn/apidocs/package-list .xmvn/apidocs/script.js .xmvn/apidocs/serialized-form.html .xmvn/apidocs/stylesheet.css /usr/src/tmp/opennlp-buildroot/usr/share/javadoc/opennlp
+ echo /usr/share/javadoc/opennlp
+ /usr/lib/rpm/brp-alt
Cleaning files in /usr/src/tmp/opennlp-buildroot (auto)
Verifying and fixing files in /usr/src/tmp/opennlp-buildroot (binconfig,pkgconfig,libtool,desktop,gnuconfig)
Checking contents of files in /usr/src/tmp/opennlp-buildroot/ (default)
Compressing files in /usr/src/tmp/opennlp-buildroot (auto)
Verifying ELF objects in /usr/src/tmp/opennlp-buildroot (arch=normal,fhs=normal,lfs=relaxed,lint=relaxed,rpath=normal,stack=normal,textrel=normal,unresolved=normal)
Hardlinking identical .pyc and .pyo files
Processing files: opennlp-1.5.3-alt1_6jpp8
Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.76023
+ umask 022
+ /bin/mkdir -p /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ cd apache-opennlp-1.5.3-src
+ DOCDIR=/usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-1.5.3
+ export DOCDIR
+ rm -rf /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-1.5.3
+ /bin/mkdir -p /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-1.5.3
+ cp -prL KEYS opennlp-distr/README opennlp-distr/RELEASE_NOTES.html /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-1.5.3
+ chmod -R go-w /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-1.5.3
+ chmod -R a+rX /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-1.5.3
+ cp -prL --no-dereference LICENSE NOTICE /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-1.5.3
+ chmod -R go-w /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-1.5.3
+ chmod -R a+rX /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-1.5.3
+ exit 0
Finding Provides (using /usr/lib/rpm/find-provides)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.HykIUk
find-provides: running scripts (alternatives,debuginfo,lib,maven,osgi-fc,pam,perl,pkgconfig,python,shell)
[INFO maven.prov] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp.xml']
[INFO maven.prov] mvn(org.apache.opennlp:opennlp:pom:) = 1.5.3
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.JTSdpI
find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,osgi-fc,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services)
[INFO maven.req] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp.xml']
[INFO maven.req] javapackages-tools
[INFO maven.req] from POM(s): mvn(org.apache:apache:pom:), mvn(org.apache.maven.plugins:maven-compiler-plugin)
Provides: mvn(org.apache.opennlp:opennlp:pom:) = 1.5.3
Requires: javapackages-tools, mvn(org.apache.maven.plugins:maven-compiler-plugin), mvn(org.apache:apache:pom:)
Processing files: opennlp-tools-1.5.3-alt1_6jpp8
Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.43072
+ umask 022
+ /bin/mkdir -p /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ cd apache-opennlp-1.5.3-src
+ DOCDIR=/usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-tools-1.5.3
+ export DOCDIR
+ rm -rf /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-tools-1.5.3
+ /bin/mkdir -p /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-tools-1.5.3
+ cp -prL --no-dereference LICENSE NOTICE /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-tools-1.5.3
+ chmod -R go-w /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-tools-1.5.3
+ chmod -R a+rX /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-tools-1.5.3
+ exit 0
Finding Provides (using /usr/lib/rpm/find-provides)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.MbK9pA
find-provides: running scripts (alternatives,debuginfo,lib,maven,osgi-fc,pam,perl,pkgconfig,python,shell)
[INFO maven.prov] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp-tools.xml']
[INFO maven.prov] mvn(org.apache.opennlp:opennlp-tools) = 1.5.3, mvn(org.apache.opennlp:opennlp-tools:pom:) = 1.5.3
[INFO osgi.prov] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/java/opennlp/opennlp-tools.jar']
[INFO osgi.prov] osgi(org.apache.opennlp.tools) = 1.5.3
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.Eo12UJ
find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,osgi-fc,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services)
[INFO maven.req] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp-tools.xml']
[INFO maven.req] javapackages-tools, mvn(net.sf.jwordnet:jwnl), mvn(org.apache.opennlp:opennlp-maxent) = 3.0.3
[INFO osgi.req] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/java/opennlp/opennlp-tools.jar']
Provides: mvn(org.apache.opennlp:opennlp-tools) = 1.5.3, mvn(org.apache.opennlp:opennlp-tools:pom:) = 1.5.3, osgi(org.apache.opennlp.tools) = 1.5.3
Requires: javapackages-tools, mvn(net.sf.jwordnet:jwnl), mvn(org.apache.opennlp:opennlp-maxent) = 3.0.3
Processing files: opennlp-maxent-1.5.3-alt1_6jpp8
Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.27981
+ umask 022
+ /bin/mkdir -p /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ cd apache-opennlp-1.5.3-src
+ DOCDIR=/usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-maxent-1.5.3
+ export DOCDIR
+ rm -rf /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-maxent-1.5.3
+ /bin/mkdir -p /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-maxent-1.5.3
+ cp -prL --no-dereference LICENSE NOTICE /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-maxent-1.5.3
+ chmod -R go-w /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-maxent-1.5.3
+ chmod -R a+rX /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-maxent-1.5.3
+ exit 0
Finding Provides (using /usr/lib/rpm/find-provides)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.CJvGHg
find-provides: running scripts (alternatives,debuginfo,lib,maven,osgi-fc,pam,perl,pkgconfig,python,shell)
[INFO maven.prov] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp-maxent.xml']
[INFO maven.prov] mvn(org.apache.opennlp:opennlp-maxent) = 3.0.3, mvn(org.apache.opennlp:opennlp-maxent:pom:) = 3.0.3
[INFO osgi.prov] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/java/opennlp/opennlp-maxent.jar']
[INFO osgi.prov] osgi(org.apache.opennlp.maxent) = 3.0.3
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.56ffu3
find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,osgi-fc,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services)
[INFO maven.req] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp-maxent.xml']
[INFO maven.req] javapackages-tools
[INFO osgi.req] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/java/opennlp/opennlp-maxent.jar']
Provides: mvn(org.apache.opennlp:opennlp-maxent) = 3.0.3, mvn(org.apache.opennlp:opennlp-maxent:pom:) = 3.0.3, osgi(org.apache.opennlp.maxent) = 3.0.3
Requires: javapackages-tools
Processing files: opennlp-uima-1.5.3-alt1_6jpp8
Finding Provides (using /usr/lib/rpm/find-provides)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.8BHVR9
find-provides: running scripts (alternatives,debuginfo,lib,maven,osgi-fc,pam,perl,pkgconfig,python,shell)
[INFO maven.prov] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp-uima.xml']
[INFO maven.prov] mvn(org.apache.opennlp:opennlp-uima) = 1.5.3, mvn(org.apache.opennlp:opennlp-uima:pom:) = 1.5.3
[INFO osgi.prov] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/java/opennlp/opennlp-uima.jar']
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.C1Y9o2
find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,osgi-fc,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services)
[INFO maven.req] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp-uima.xml']
[INFO maven.req] javapackages-tools, mvn(org.apache.opennlp:opennlp-tools) = 1.5.3
[INFO osgi.req] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/java/opennlp/opennlp-uima.jar']
Provides: mvn(org.apache.opennlp:opennlp-uima) = 1.5.3, mvn(org.apache.opennlp:opennlp-uima:pom:) = 1.5.3
Requires: javapackages-tools, mvn(org.apache.opennlp:opennlp-tools) = 1.5.3
Processing files: opennlp-javadoc-1.5.3-alt1_6jpp8
Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.11580
+ umask 022
+ /bin/mkdir -p /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ cd apache-opennlp-1.5.3-src
+ DOCDIR=/usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-javadoc-1.5.3
+ export DOCDIR
+ rm -rf /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-javadoc-1.5.3
+ /bin/mkdir -p /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-javadoc-1.5.3
+ cp -prL --no-dereference LICENSE NOTICE /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-javadoc-1.5.3
+ chmod -R go-w /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-javadoc-1.5.3
+ chmod -R a+rX /usr/src/tmp/opennlp-buildroot/usr/share/doc/opennlp-javadoc-1.5.3
+ exit 0
Finding Provides (using /usr/lib/rpm/find-provides)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.swCH8u
find-provides: running scripts (alternatives,debuginfo,lib,maven,osgi-fc,pam,perl,pkgconfig,python,shell)
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.K2MlfR
find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,osgi-fc,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services)
Requires: javapackages-tools
Adding to opennlp-tools a strict dependency on opennlp-maxent
Adding to opennlp-uima a strict dependency on opennlp-tools
Removing 1 extra deps from opennlp-tools due to dependency on opennlp-maxent
Removing 1 extra deps from opennlp-uima due to dependency on opennlp-tools
Removing 1 extra deps from opennlp-tools due to repentancy on opennlp-maxent
Removing 1 extra deps from opennlp-uima due to repentancy on opennlp-maxent
Wrote: /usr/src/RPM/RPMS/noarch/opennlp-1.5.3-alt1_6jpp8.noarch.rpm (w2.lzdio)
Wrote: /usr/src/RPM/RPMS/noarch/opennlp-tools-1.5.3-alt1_6jpp8.noarch.rpm (w2.lzdio)
Wrote: /usr/src/RPM/RPMS/noarch/opennlp-maxent-1.5.3-alt1_6jpp8.noarch.rpm (w2.lzdio)
Wrote: /usr/src/RPM/RPMS/noarch/opennlp-uima-1.5.3-alt1_6jpp8.noarch.rpm (w2.lzdio)
Wrote: /usr/src/RPM/RPMS/noarch/opennlp-javadoc-1.5.3-alt1_6jpp8.noarch.rpm (w2T8.xzdio)
141.33user 5.82system 1:40.34elapsed 146%CPU (0avgtext+0avgdata 503544maxresident)k
0inputs+0outputs (0major+548031minor)pagefaults 0swaps
163.67user 12.82system 2:08.95elapsed 136%CPU (0avgtext+0avgdata 503544maxresident)k
0inputs+0outputs (0major+1224256minor)pagefaults 0swaps
--- opennlp-1.5.3-alt1_6jpp8.noarch.rpm.repo 2018-06-01 05:16:09.000000000 +0000
+++ opennlp-1.5.3-alt1_6jpp8.noarch.rpm.hasher 2021-07-25 13:01:19.864379394 +0000
@@ -21,5 +21,5 @@
File: /usr/share/doc/opennlp-1.5.3/RELEASE_NOTES.html 100644 root:root ee8ea1ca305cd64ecfbd8b4147c37c3c
-File: /usr/share/maven-metadata/opennlp-opennlp.xml 100644 root:root 74ff51932e8b9c605bac36f8f6d775d5
+File: /usr/share/maven-metadata/opennlp-opennlp.xml 100644 root:root 6ac7090a1027d2b0d46eba2b748db8ea
File: /usr/share/maven-poms/opennlp 40755 root:root
File: /usr/share/maven-poms/opennlp/opennlp.pom 100644 root:root 93ae9dd7c6bb57fee0daeab55a41eda2
-RPMIdentity: b8751e1f14e9fa42e5a2903c23d0495e
+RPMIdentity: 0578ca1ffb94f86285ee66b04797b6df
--- opennlp-javadoc-1.5.3-alt1_6jpp8.noarch.rpm.repo 2018-06-01 05:16:09.000000000 +0000
+++ opennlp-javadoc-1.5.3-alt1_6jpp8.noarch.rpm.hasher 2021-07-25 13:01:20.091377875 +0000
@@ -1536,1527 +1536,1527 @@
File: /usr/share/javadoc/opennlp 40755 root:root
-File: /usr/share/javadoc/opennlp/allclasses-frame.html 100644 root:root a198e205fd46b4c3f993a3fbd2a8149c
-File: /usr/share/javadoc/opennlp/allclasses-noframe.html 100644 root:root c94032dd00dc86527170e98843de874d
-File: /usr/share/javadoc/opennlp/constant-values.html 100644 root:root 21e762e94be34140fbab00f46f5e4bbd
-File: /usr/share/javadoc/opennlp/deprecated-list.html 100644 root:root 3f5fd4a1261f2091dc85631c2c130a70
-File: /usr/share/javadoc/opennlp/help-doc.html 100644 root:root bdca3734ba77791ca393ffd1fd3c8efc
-File: /usr/share/javadoc/opennlp/index-all.html 100644 root:root 4fb03cac3c4e3614ac670cafa2a2519d
-File: /usr/share/javadoc/opennlp/index.html 100644 root:root 6bda4489cf0b622b8d5af2132351d84a
+File: /usr/share/javadoc/opennlp/allclasses-frame.html 100644 root:root f5f3d7e17a66df36fd7a126b19d72186
+File: /usr/share/javadoc/opennlp/allclasses-noframe.html 100644 root:root 07051a07eb99f55990a9984a1e24a1f8
+File: /usr/share/javadoc/opennlp/constant-values.html 100644 root:root 5eb2fe417110e1f79896c948f03a67e0
+File: /usr/share/javadoc/opennlp/deprecated-list.html 100644 root:root a9fa2cd4b4999756a09b1599a3421ed6
+File: /usr/share/javadoc/opennlp/help-doc.html 100644 root:root 447afae79513b1e097546b0570e691ba
+File: /usr/share/javadoc/opennlp/index-all.html 100644 root:root e4e665370ffab7e7888b3bcd80ba8591
+File: /usr/share/javadoc/opennlp/index.html 100644 root:root 573d3db9c59245c34c73b4441ade0308
File: /usr/share/javadoc/opennlp/opennlp 40755 root:root
File: /usr/share/javadoc/opennlp/opennlp/maxent 40755 root:root
-File: /usr/share/javadoc/opennlp/opennlp/maxent/BasicContextGenerator.html 100644 root:root f88b381f99c38836a32dabc35c1080c7
-File: /usr/share/javadoc/opennlp/opennlp/maxent/BasicEventStream.html 100644 root:root 31bfea9ff55822704a39b051536754b0
-File: /usr/share/javadoc/opennlp/opennlp/maxent/BinToAscii.html 100644 root:root 942170f68e69fce6236287837920df25
-File: /usr/share/javadoc/opennlp/opennlp/maxent/ContextGenerator.html 100644 root:root e9fb7b995bc15b6c1016124b039c8b0f
-File: /usr/share/javadoc/opennlp/opennlp/maxent/Counter.html 100644 root:root 436732bd91eae41a5b2b52f052e2e09e
-File: /usr/share/javadoc/opennlp/opennlp/maxent/DataStream.html 100644 root:root 3bac53bf4df00eb42e78cb78dd128464
-File: /usr/share/javadoc/opennlp/opennlp/maxent/DomainToModelMap.html 100644 root:root a2ceb5802fb33d64200561ea6bb1628f
-File: /usr/share/javadoc/opennlp/opennlp/maxent/DoubleStringPair.html 100644 root:root bc9780a7231dc9152f916bf5bb14db2e
-File: /usr/share/javadoc/opennlp/opennlp/maxent/Evalable.html 100644 root:root 6c497ca0df91a1f60c795709956ec572
-File: /usr/share/javadoc/opennlp/opennlp/maxent/GIS.html 100644 root:root f8df01c557dddee9595cfb0ecb41bd6e
-File: /usr/share/javadoc/opennlp/opennlp/maxent/GISModel.html 100644 root:root e1f82fc7e878c7d94140469cbb183292
-File: /usr/share/javadoc/opennlp/opennlp/maxent/IntegerPool.html 100644 root:root ec3a4fe6ba479ec008b8cbfbfc22585b
-File: /usr/share/javadoc/opennlp/opennlp/maxent/Main.html 100644 root:root a3b396bd04ac26a9deffc3da14f19db7
-File: /usr/share/javadoc/opennlp/opennlp/maxent/ModelApplier.html 100644 root:root 6421dd716373a857d51dc6997ee0b982
-File: /usr/share/javadoc/opennlp/opennlp/maxent/ModelDomain.html 100644 root:root 58c0f7d679772236edce408db4fa9c57
-File: /usr/share/javadoc/opennlp/opennlp/maxent/ModelReplacementManager.html 100644 root:root 9b7a231856fa198dcbc65011b12c672b
-File: /usr/share/javadoc/opennlp/opennlp/maxent/ModelSetter.html 100644 root:root 59ece4da1ef74abc0a36756fc3a9ad63
-File: /usr/share/javadoc/opennlp/opennlp/maxent/ModelTrainer.html 100644 root:root 928c329574d54c018833f815e04fba28
-File: /usr/share/javadoc/opennlp/opennlp/maxent/PlainTextByLineDataStream.html 100644 root:root ed90d9da5dc539c191c9659b05122699
-File: /usr/share/javadoc/opennlp/opennlp/maxent/RealBasicEventStream.html 100644 root:root 2d72a8d8571791be3f6c6bb1c7b40021
-File: /usr/share/javadoc/opennlp/opennlp/maxent/TrainEval.html 100644 root:root 91b800c17334f18f07d76558bdad88a7
+File: /usr/share/javadoc/opennlp/opennlp/maxent/BasicContextGenerator.html 100644 root:root a9291b49c10a07237626a85b50d62100
+File: /usr/share/javadoc/opennlp/opennlp/maxent/BasicEventStream.html 100644 root:root 424e2d30ac6215e3eb5b2cd175c65d81
+File: /usr/share/javadoc/opennlp/opennlp/maxent/BinToAscii.html 100644 root:root aac901eaa73a656a35c26f2eba52c8d6
+File: /usr/share/javadoc/opennlp/opennlp/maxent/ContextGenerator.html 100644 root:root 7c6f7da4f0720efca622a5fe3678976c
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+File: /usr/share/javadoc/opennlp/opennlp/maxent/DataStream.html 100644 root:root cb0f8ccc867964bdb754cfa95ccf1251
+File: /usr/share/javadoc/opennlp/opennlp/maxent/DomainToModelMap.html 100644 root:root 4c670f1760622102c539ba1b4141838a
+File: /usr/share/javadoc/opennlp/opennlp/maxent/DoubleStringPair.html 100644 root:root 36836016ff12062205676c5679fb5660
+File: /usr/share/javadoc/opennlp/opennlp/maxent/Evalable.html 100644 root:root 338058823763792b4d80fecf12a3554c
+File: /usr/share/javadoc/opennlp/opennlp/maxent/GIS.html 100644 root:root 4abc0f418cf4e587da22c7af3fff5e7c
+File: /usr/share/javadoc/opennlp/opennlp/maxent/GISModel.html 100644 root:root 1ab0f27edf5873f4f23de919868d3152
+File: /usr/share/javadoc/opennlp/opennlp/maxent/IntegerPool.html 100644 root:root 7b7ed8632897cb59e365a6fc025e4b44
+File: /usr/share/javadoc/opennlp/opennlp/maxent/Main.html 100644 root:root 1edd34099473b972c4ed3f747a77bde7
+File: /usr/share/javadoc/opennlp/opennlp/maxent/ModelApplier.html 100644 root:root 603d8f12bcc9d04f18725343e89f9527
+File: /usr/share/javadoc/opennlp/opennlp/maxent/ModelDomain.html 100644 root:root 73e10e65f74068295972f205697474e1
+File: /usr/share/javadoc/opennlp/opennlp/maxent/ModelReplacementManager.html 100644 root:root edbf110daa66d05db23907fa67121c48
+File: /usr/share/javadoc/opennlp/opennlp/maxent/ModelSetter.html 100644 root:root cbbac79416d952bdd5a5342a192e4006
+File: /usr/share/javadoc/opennlp/opennlp/maxent/ModelTrainer.html 100644 root:root 4f714a7d5ebdd825361aed1730a7c838
+File: /usr/share/javadoc/opennlp/opennlp/maxent/PlainTextByLineDataStream.html 100644 root:root 8d4d2de413e094e287ecfa786091b412
+File: /usr/share/javadoc/opennlp/opennlp/maxent/RealBasicEventStream.html 100644 root:root f1f0f43c5482f1efb8843770262677f3
+File: /usr/share/javadoc/opennlp/opennlp/maxent/TrainEval.html 100644 root:root bdeb663de825782bd4c340c9b92360ba
File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use 40755 root:root
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/BasicContextGenerator.html 100644 root:root c4abf40e321c570066e7861686bdfa74
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/BasicEventStream.html 100644 root:root 2e143e4e3979081203cf4401870e5b6c
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/BinToAscii.html 100644 root:root cffca7e884b7bff245affecffbe2963e
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/ContextGenerator.html 100644 root:root 5eb19fa0e0d976038c301eefdf9f42d7
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-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/DataStream.html 100644 root:root ca42b4a45961d25c076169a85d6ef613
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/DomainToModelMap.html 100644 root:root 59285465fc2719cdd0ca4e00161ccf95
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/DoubleStringPair.html 100644 root:root 86da7dd19d20795669cff5b8fa1f7f6f
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/Evalable.html 100644 root:root 302a4e743a3974b91f02bb416237dd42
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/GIS.html 100644 root:root bb251037bcd2175b14905ec4a3894ae4
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/GISModel.html 100644 root:root e0a2c901ebc5d5d354af32b1394455c4
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/IntegerPool.html 100644 root:root 63ecd4c55701ea15f3d5d8d6f9ca665d
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/Main.html 100644 root:root b97a1c7fcbe9e2ba71110c51403efe46
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/ModelApplier.html 100644 root:root e8d896d763554ffe4422a1b75477f350
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/ModelDomain.html 100644 root:root 041af2170eec4cf61505c97bbbb589e8
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/ModelReplacementManager.html 100644 root:root 0a424f620ced0b99bdc57f0f42327eb6
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/ModelSetter.html 100644 root:root ef08506676ccc9a35b3a76731d9ceea0
-File: /usr/share/javadoc/opennlp/opennlp/maxent/class-use/ModelTrainer.html 100644 root:root 4f4eb2999f3a2389887a44f8454d1f90
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