<86>Mar 5 03:30:18 userdel[56638]: delete user 'rooter' <86>Mar 5 03:30:18 groupadd[56686]: group added to /etc/group: name=rooter, GID=603 <86>Mar 5 03:30:18 groupadd[56686]: group added to /etc/gshadow: name=rooter <86>Mar 5 03:30:18 groupadd[56686]: new group: name=rooter, GID=603 <86>Mar 5 03:30:18 useradd[56715]: new user: name=rooter, UID=603, GID=603, home=/root, shell=/bin/bash <86>Mar 5 03:30:18 userdel[56819]: delete user 'builder' <86>Mar 5 03:30:18 userdel[56819]: removed group 'builder' owned by 'builder' <86>Mar 5 03:30:18 userdel[56819]: removed shadow group 'builder' owned by 'builder' <86>Mar 5 03:30:18 groupadd[56891]: group added to /etc/group: name=builder, GID=604 <86>Mar 5 03:30:18 groupadd[56891]: group added to /etc/gshadow: name=builder <86>Mar 5 03:30:18 groupadd[56891]: new group: name=builder, GID=604 <86>Mar 5 03:30:18 useradd[56930]: new user: name=builder, UID=604, GID=604, 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>Mar 5 03:30:53 rpmi: javapackages-tools-1:5.0.0-alt1_12jpp8 1525973129 installed <13>Mar 5 03:30:53 rpmi: plexus-utils-0:3.0.24-alt1_5jpp8 1524376364 installed <13>Mar 5 03:30:53 rpmi: apache-commons-io-1:2.6-alt1_3jpp8 1526474591 installed <13>Mar 5 03:30:53 rpmi: maven-shared-utils-3.2.1-alt1_0.1jpp8 1527848452 installed <13>Mar 5 03:30:53 rpmi: apache-commons-logging-0:1.2-alt1_14jpp8 sisyphus+220622.100.1.1 1549363457 installed <13>Mar 5 03:30:53 rpmi: plexus-containers-component-annotations-0:1.7.1-alt1_6jpp8 1527990031 installed <13>Mar 5 03:30:53 rpmi: plexus-interpolation-0:1.22-alt1_9jpp8 1524313082 installed <13>Mar 5 03:30:53 rpmi: slf4j-0:1.7.25-alt1_4jpp8 1525924634 installed <13>Mar 5 03:30:53 rpmi: maven-wagon-provider-api-0:3.0.0-alt1_1jpp8 1511394275 installed <13>Mar 5 03:30:53 rpmi: xml-commons-apis-1.4.01-alt3_26jpp8 sisyphus+220521.100.1.1 1549294732 installed <13>Mar 5 03:30:53 rpmi: apache-commons-codec-0:1.11-alt1_4jpp8 sisyphus+220604.100.1.1 1549341232 installed <13>Mar 5 03:30:53 rpmi: apache-commons-lang3-3.7-alt1_4jpp8 sisyphus+220620.100.1.1 1549356987 installed <13>Mar 5 03:30:53 rpmi: httpcomponents-core-4.4.9-alt1_4jpp8 1525820092 installed <13>Mar 5 03:30:53 rpmi: plexus-classworlds-0:2.5.2-alt2_9jpp8 1524311141 installed <13>Mar 5 03:30:53 rpmi: hawtjni-runtime-0:1.16-alt1_1jpp8 1527820189 installed <13>Mar 5 03:30:53 rpmi: atinject-0:1-alt7_29.20100611svn86jpp8 sisyphus+220650.100.1.1 1549392067 installed <13>Mar 5 03:30:53 rpmi: guava20-20.0-alt1_5jpp8 1526562255 installed <13>Mar 5 03:30:53 rpmi: maven-resolver-api-1:1.1.1-alt1_2jpp8 1527821514 installed <13>Mar 5 03:30:53 rpmi: maven-resolver-util-1:1.1.1-alt1_2jpp8 1527821514 installed <13>Mar 5 03:30:53 rpmi: maven-resolver-spi-1:1.1.1-alt1_2jpp8 1527821514 installed <13>Mar 5 03:30:53 rpmi: xmvn-api-3.0.0-alt1_18jpp8 1527991448 installed <13>Mar 5 03:30:53 rpmi: xmvn-core-3.0.0-alt1_18jpp8 1527991448 installed <13>Mar 5 03:30:53 rpmi: jansi-native-0:1.7-alt1_5jpp8 1523818755 installed <13>Mar 5 03:30:53 rpmi: jcl-over-slf4j-0:1.7.25-alt1_4jpp8 1525924634 installed <13>Mar 5 03:30:53 rpmi: maven-model-1:2.2.1-alt6_56jpp8 1510505131 installed <13>Mar 5 03:30:53 rpmi: aopalliance-0:1.0-alt6_17jpp8 1526473615 installed <13>Mar 5 03:30:53 rpmi: apache-commons-cli-0:1.4-alt1_5jpp8 sisyphus+220603.100.1.1 1549340562 installed <13>Mar 5 03:30:53 rpmi: apache-commons-collections-0:3.2.2-alt1_8jpp8 1527882341 installed <13>Mar 5 03:30:53 rpmi: plexus-cipher-1.7-alt3_14jpp8 1524310885 installed <13>Mar 5 03:30:53 rpmi: osgi-core-6.0.0-alt1_6jpp8 1524308153 installed <13>Mar 5 03:30:53 rpmi: plexus-sec-dispatcher-1.4-alt4_24jpp8 1524313702 installed <13>Mar 5 03:30:53 rpmi: google-guice-0:4.1-alt1_12jpp8 sisyphus+221708.100.1.1 1550375735 installed <13>Mar 5 03:30:53 rpmi: maven-resolver-connector-basic-1:1.1.1-alt1_2jpp8 1527821514 installed <13>Mar 5 03:30:53 rpmi: maven-resolver-impl-1:1.1.1-alt1_2jpp8 1527821514 installed <13>Mar 5 03:30:53 rpmi: maven-resolver-transport-wagon-1:1.1.1-alt1_2jpp8 1527821514 installed <13>Mar 5 03:30:53 rpmi: maven-wagon-file-0:3.0.0-alt1_1jpp8 1511394275 installed <13>Mar 5 03:30:53 rpmi: maven-artifact-1:2.2.1-alt6_56jpp8 1510505131 installed <13>Mar 5 03:30:53 rpmi: apache-commons-lang-0:2.6-alt5_22jpp8 sisyphus+220619.100.1.1 1549325921 installed <13>Mar 5 03:30:53 rpmi: velocity-1:1.7-alt3_22jpp8 1525930039 installed <13>Mar 5 03:30:53 rpmi: geronimo-annotation-1.0-alt4_24jpp8 sisyphus+221131.100.1.2 1549788027 installed <13>Mar 5 03:30:53 rpmi: xpp3-1:1.1.4-alt1_19.cjpp8 sisyphus+220580.100.1.1 1549324731 installed <13>Mar 5 03:30:53 rpmi: beust-jcommander-1.71-alt1_3jpp8 1523858260 installed <13>Mar 5 03:30:53 rpmi: xml-utils-1:2.9.4.0.12.e905-alt1.1 1525115736 installed <13>Mar 5 03:30:53 rpmi: xmvn-connector-aether-3.0.0-alt1_18jpp8 1527991448 installed <13>Mar 5 03:30:53 rpmi: xmlgraphics-commons-0:2.2-alt1_2jpp8 sisyphus+220498.100.1.1 1549281765 installed <13>Mar 5 03:30:53 rpmi: plexus-build-api-0:0.0.7-alt3_20jpp8 1525915372 installed <13>Mar 5 03:30:53 rpmi: osgi-compendium-6.0.0-alt1_5jpp8 1524307639 installed <13>Mar 5 03:30:53 rpmi: felix-utils-1.10.4-alt1_3jpp8 sisyphus+221058.100.1.2 1549747041 installed <13>Mar 5 03:30:53 rpmi: qdox-1:2.0-alt1_0.12.M7jpp8 1525919952 installed <13>Mar 5 03:30:54 rpmi: liblksctp-1.0.17-alt2 1523113258 installed <13>Mar 5 03:30:54 rpmi: libjpeg-2:1.5.1-alt1 1498218302 installed <13>Mar 5 03:30:54 rpmi: libpng16-1.6.36-alt1 sisyphus+219478.100.1.1 1547633315 installed <13>Mar 5 03:30:54 rpmi: sgml-common-0.6.3-alt15 1423664786 installed <13>Mar 5 03:30:54 rpmi: log4j12-1.2.17-alt1_23jpp8 sisyphus+220162.100.2.1 1549021303 installed <13>Mar 5 03:30:54 rpmi: libexpat-2.2.4-alt1 1503305341 installed <13>Mar 5 03:30:54 rpmi: docbook-dtds-4.5-alt1 1223476557 installed <13>Mar 5 03:30:54 rpmi: docbook-style-xsl-1.79.1-alt2 sisyphus.213665.100 1537949315 installed <13>Mar 5 03:30:54 rpmi: lksctp-tools-1.0.17-alt2 1523113258 installed <13>Mar 5 03:30:54 rpmi: felix-bundlerepository-2.0.10-alt1_4jpp8 sisyphus+220992.100.1.2 1549693453 installed <13>Mar 5 03:30:54 rpmi: kxml-2.3.0-alt3_16jpp8 1524305282 installed <13>Mar 5 03:30:54 rpmi: apache-commons-configuration-0:1.10-alt1_12jpp8 sisyphus+220606.100.1.1 1549344005 installed <13>Mar 5 03:30:54 rpmi: jcsp-1.1-alt1_0.10.rc5jpp8 sisyphus+221980.100.1.1 1550546630 installed <13>Mar 5 03:30:54 rpmi: xmvn-mojo-3.0.0-alt1_18jpp8 1527991448 installed <13>Mar 5 03:30:54 rpmi: maven-dependency-tree-3.0-alt1_4jpp8 1510507072 installed <13>Mar 5 03:30:54 rpmi: plexus-component-api-1.0-alt4_0.24.alpha15jpp8 1524311381 installed <13>Mar 5 03:30:54 rpmi: plexus-interactivity-api-0:1.0-alt6_0.25.alpha6jpp8 1525919089 installed <13>Mar 5 03:30:54 rpmi: apache-commons-httpclient-1:3.1-alt6_27jpp8 1510082305 installed <13>Mar 5 03:30:54 rpmi: maven-invoker-2.2-alt1_6jpp8 1510802103 installed <13>Mar 5 03:30:54 rpmi: fontbox-0:1.8.13-alt2_4jpp8 1525914053 installed <13>Mar 5 03:30:54 rpmi: plexus-io-0:3.0.0-alt1_2jpp8 1527187473 installed <13>Mar 5 03:30:54 rpmi: plexus-compiler-0:2.8.2-alt1_2jpp8 1525918408 installed <13>Mar 5 03:30:55 rpmi: ant-lib-0:1.10.3-alt1_2jpp8 1528243545 installed <13>Mar 5 03:30:55 rpmi: objenesis-0:2.6-alt1_1jpp8 1511395274 installed <13>Mar 5 03:30:55 rpmi: apache-commons-compress-0:1.16.1-alt1_1jpp8 1526491832 installed <13>Mar 5 03:30:55 rpmi: apache-ivy-0:2.4.0-alt1_12jpp8 1527882603 installed <13>Mar 5 03:30:55 rpmi: apache-resource-bundles-1:2-alt4_21jpp8 sisyphus+220641.100.1.2 1549429751 installed <13>Mar 5 03:30:55 rpmi: glassfish-el-api-3.0.1-alt1_0.9.b08jpp8 sisyphus+221160.100.1.1 1549796961 installed <13>Mar 5 03:30:55 rpmi: jboss-interceptors-1.2-api-1.0.0-alt1_9jpp8 sisyphus+221843.100.1.1 1550450624 installed <13>Mar 5 03:30:55 rpmi: cdi-api-1.2-alt1_9jpp8 sisyphus+220672.100.1.1 1549401296 installed <13>Mar 5 03:30:55 rpmi: sisu-inject-2:0.3.3-alt1_3jpp8 1525924258 installed <13>Mar 5 03:30:55 rpmi: sisu-plexus-2:0.3.3-alt1_3jpp8 1525924258 installed <13>Mar 5 03:30:55 rpmi: fusesource-pom-0:1.11-alt1_4jpp8 sisyphus+221128.100.1.1 1549752021 installed <13>Mar 5 03:30:55 rpmi: jansi-0:1.17-alt1_1jpp8 1527875993 installed <13>Mar 5 03:30:55 rpmi: jsoup-1.11.3-alt1_1jpp8 1527820709 installed <13>Mar 5 03:30:55 rpmi: maven-filesystem-0.01-alt2.1 1460115697 installed <13>Mar 5 03:30:55 rpmi: maven-monitor-1:2.2.1-alt6_56jpp8 1510505131 installed <13>Mar 5 03:30:55 rpmi: xpp3-minimal-1:1.1.4-alt1_19.cjpp8 sisyphus+220580.100.1.1 1549324731 installed <13>Mar 5 03:30:55 rpmi: xstream-0:1.4.9-alt1_7jpp8 1524214178 installed <13>Mar 5 03:30:55 rpmi: extra166y-1.7.0-alt1_10jpp8 sisyphus+220916.100.1.3 1549643912 installed <13>Mar 5 03:30:55 rpmi: jzlib-0:1.1.3-alt1_8jpp8 1525901378 installed <13>Mar 5 03:30:55 rpmi: netty3-3.10.6-alt2_5jpp8 sisyphus+220441.100.1.1 1549124381 installed <13>Mar 5 03:30:55 rpmi: multiverse-0.7.0-alt1_8jpp8 1527807673 installed <13>Mar 5 03:30:55 rpmi: osgi-annotation-6.0.0-alt1_7jpp8 1524306983 installed <13>Mar 5 03:30:55 rpmi: aqute-bndlib-0:3.5.0-alt1_2jpp8 1523847009 installed <13>Mar 5 03:30:55 rpmi: avalon-logkit-0:2.1-alt2_29jpp8 1525884624 installed <13>Mar 5 03:30:55 rpmi: avalon-framework-0:4.3-alt4_19jpp8 1525884383 installed <13>Mar 5 03:30:55 rpmi: jai-imageio-core-1.2-alt1_0.24.20100217cvsjpp8 sisyphus+221788.100.1.1 1550423410 installed <13>Mar 5 03:30:55 rpmi: dain-snappy-0.4-alt1_6jpp8 sisyphus+220815.100.1.1 1549458793 installed <13>Mar 5 03:30:55 rpmi: glassfish-servlet-api-3.1.0-alt3_15jpp8 sisyphus+221214.100.1.1 1550340139 installed <13>Mar 5 03:30:55 rpmi: felix-osgi-core-0:1.4.0-alt5_24jpp8 sisyphus+220997.100.1.2 1549734401 installed <13>Mar 5 03:30:55 rpmi: felix-osgi-foundation-1.2.0-alt5_24jpp8 sisyphus+221051.100.1.2 1549737045 installed <13>Mar 5 03:30:55 rpmi: java-common-1.5.0-alt1 1329330500 installed <13>Mar 5 03:30:55 rpmi: hamcrest-core-0:1.3-alt3_23jpp8 1525893879 installed <13>Mar 5 03:30:55 rpmi: junit-1:4.12-alt1_8jpp8 1525900612 installed <13>Mar 5 03:30:55 rpmi: maven-verifier-1.6-alt1_5jpp8 1510518576 installed <13>Mar 5 03:30:55 rpmi: jackson-core-2.9.4-alt1_3jpp8 sisyphus+221780.100.1.1 1550413227 installed <13>Mar 5 03:30:55 rpmi: xz-java-1.8-alt1_2jpp8 1525824473 installed <13>Mar 5 03:30:55 rpmi: plexus-archiver-0:3.6.0-alt1_1jpp8 1527822734 installed <13>Mar 5 03:30:55 rpmi: zip-30000000:3.0-alt1 1332241778 installed <13>Mar 5 03:30:55 rpmi: rpm-macros-java-1:5.0.0-alt1_12jpp8 1525973129 installed <13>Mar 5 03:30:55 rpmi: libnatspec-0.3.1-alt2 1445691578 installed <13>Mar 5 03:30:55 rpmi: unzip-6.0-alt2.qa1 1366155323 installed <13>Mar 5 03:30:55 rpmi: libgpg-error-1.31-alt1.S1 1529015796 installed <13>Mar 5 03:30:56 rpmi: libgcrypt20-1.8.3-alt4 sisyphus+222598.100.1.1 1550923856 installed <13>Mar 5 03:30:56 rpmi: libxslt-1.1.32-alt2 1517429962 installed <13>Mar 5 03:30:56 rpmi: libsqlite3-3.26.0-alt2 sisyphus+220766.100.5.1 1549611550 installed <13>Mar 5 03:30:56 rpmi: libnspr-1:4.20-alt1 sisyphus.216395.100 1542113038 installed <13>Mar 5 03:30:56 rpmi: javazi-2018i-alt1 sisyphus+221902.5300.4.1 1550600298 installed <13>Mar 5 03:30:56 rpmi: libgif-4.1.6-alt3 1299634266 installed <13>Mar 5 03:30:56 rpmi: libalsa-1:1.1.8-alt2 sisyphus+221894.200.4.1 1550583282 installed <13>Mar 5 03:30:56 rpmi: libX11-locales-3:1.6.7-alt1 sisyphus.214413.200 1539171080 installed <13>Mar 5 03:30:56 rpmi: libXdmcp-1.1.1-alt1 1334617699 installed <13>Mar 5 03:30:56 rpmi: libXau-1.0.9-alt1 sisyphus+223149.200.2.1 1551268156 installed <13>Mar 5 03:30:56 rpmi: libxcb-1.13.1-alt1 sisyphus.214413.100 1539170828 installed <13>Mar 5 03:30:56 rpmi: libX11-3:1.6.7-alt1 sisyphus.214413.200 1539171080 installed <13>Mar 5 03:30:56 rpmi: libXext-1.3.3-alt1 1409902932 installed <13>Mar 5 03:30:56 rpmi: libXi-1.7.9-alt1.S1 1515755338 installed <13>Mar 5 03:30:56 rpmi: libXtst-1.2.2-alt1 1369984880 installed <13>Mar 5 03:30:56 rpmi: libXcomposite-0.4.3-alt3 1297306939 installed <13>Mar 5 03:30:56 rpmi: libXrender-0.9.8-alt1 1371312110 installed <13>Mar 5 03:30:56 rpmi: libgraphite2-1.3.13-alt1 sisyphus.218545.100 1545686499 installed <13>Mar 5 03:30:56 rpmi: libharfbuzz-2.2.0-alt1 sisyphus.218134.500 1545261457 installed <13>Mar 5 03:30:56 rpmi: libfreetype-2.9.1-alt1.S1 1530781049 installed <13>Mar 5 03:30:56 rpmi: fontconfig-2.13.1-alt1 sisyphus.215917.100 1540973883 installed Updating fonts cache: <29>Mar 5 03:30:57 fontconfig: Updating fonts cache: succeeded [ DONE ] <13>Mar 5 03:30:57 rpmi: fonts-type1-xorg-7.0.0-alt4 1188553211 installed <13>Mar 5 03:30:58 rpmi: publicsuffix-list-20181106-alt1 sisyphus.216228.100 1541611754 installed <13>Mar 5 03:30:58 rpmi: httpcomponents-client-4.5.5-alt1_5jpp8 sisyphus+221731.100.1.1 1550391382 installed <13>Mar 5 03:30:58 rpmi: maven-wagon-http-shared-0:3.0.0-alt1_1jpp8 1511394275 installed <13>Mar 5 03:30:58 rpmi: maven-wagon-http-0:3.0.0-alt1_1jpp8 1511394275 installed <13>Mar 5 03:30:58 rpmi: maven-1:3.5.3-alt1_1jpp8 1528125011 installed <13>Mar 5 03:30:58 rpmi: maven-lib-1:3.5.3-alt1_1jpp8 1528125011 installed <13>Mar 5 03:30:58 rpmi: maven-common-artifact-filters-3.0.1-alt1_3jpp8 1510506852 installed <13>Mar 5 03:30:58 rpmi: maven-archiver-0:3.2.0-alt1_1jpp8 1511392070 installed <13>Mar 5 03:30:58 rpmi: maven-filtering-3.1.1-alt1_4jpp8 1510509696 installed <13>Mar 5 03:30:58 rpmi: maven-resources-plugin-3.1.0-alt1_1jpp8 1527822052 installed <13>Mar 5 03:30:58 rpmi: maven-jar-plugin-3.1.0-alt1_1jpp8 1527821052 installed <13>Mar 5 03:30:58 rpmi: maven-artifact-transfer-1:0.9.0-alt1_3jpp8 1511478032 installed <13>Mar 5 03:30:58 rpmi: maven-artifact-resolver-1:1.0-alt3_17jpp8 1510506402 installed <13>Mar 5 03:30:58 rpmi: maven-shared-incremental-1.1-alt1_13jpp8 1510516163 installed <13>Mar 5 03:30:58 rpmi: xmvn-minimal-3.0.0-alt1_18jpp8 1527991448 installed <13>Mar 5 03:30:58 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Mar 5 03:30:58 rpmi: libtasn1-4.13-alt2 1521133848 installed <13>Mar 5 03:30:58 rpmi: libp11-kit-0.23.9-alt5 1525798241 installed <13>Mar 5 03:30:58 rpmi: rpm-macros-alternatives-0.5.0-alt1 sisyphus+221902.300.4.1 1550587121 installed <13>Mar 5 03:30:58 rpmi: alternatives-0.5.0-alt1 sisyphus+221902.300.4.1 1550587121 installed <13>Mar 5 03:30:58 rpmi: ca-certificates-2019.02.01-alt1 sisyphus+220384.200.1.1 1549032756 installed <13>Mar 5 03:30:58 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>Mar 5 03:30:58 rpmi: p11-kit-trust-0.23.9-alt5 1525798241 installed <13>Mar 5 03:30:58 rpmi: libcrypto1.1-1.1.0j-alt1 sisyphus.216647.100 1542743840 installed <13>Mar 5 03:30:58 rpmi: libssl1.1-1.1.0j-alt1 sisyphus.216647.100 1542743840 installed <13>Mar 5 03:30:58 rpmi: libpython3-3.6.8-alt1 sisyphus+220164.200.3.1 1548842470 installed <13>Mar 5 03:30:58 rpmi: python3-3.6.8-alt1 sisyphus+220164.200.3.1 1548842470 installed <13>Mar 5 03:30:59 rpmi: python3-base-3.6.8-alt1 sisyphus+220164.200.3.1 1548842470 installed <13>Mar 5 03:30:59 rpmi: python3-module-sugarbowl-0.52.1-alt1.git20141130.1.1 1517983623 installed <13>Mar 5 03:30:59 rpmi: python3-module-six-1.12.0-alt1 sisyphus+219665.100.2.1 1548148570 installed <13>Mar 5 03:30:59 rpmi: python3-module-markupsafe-0.23-alt1.2.1.1 1525118564 installed <13>Mar 5 03:30:59 rpmi: python3-module-jinja2-2.10-alt1 1521724576 installed <13>Mar 5 03:30:59 rpmi: python3-module-clyde-0.8.0-alt1.git20141130.2.1 1517980014 installed <13>Mar 5 03:30:59 rpmi: python3-module-pkg_resources-1:40.8.0-alt1 sisyphus+221229.100.2.1 1550559950 installed <13>Mar 5 03:30:59 rpmi: python3-module-runfile-0.46.1-alt1.git20141130.2.1 1517983182 installed <13>Mar 5 03:30:59 rpmi: objectweb-asm-0:6.1.1-alt1_1jpp8 1528136365 installed <13>Mar 5 03:30:59 rpmi: plexus-languages-0.9.3-alt2_4jpp8 1528196710 installed <13>Mar 5 03:30:59 rpmi: maven-compiler-plugin-3.7.0-alt1_1jpp8 1527175304 installed <13>Mar 5 03:30:59 rpmi: xmvn-install-3.0.0-alt1_18jpp8 1527991448 installed <13>Mar 5 03:30:59 rpmi: parboiled-1.1.6-alt1_13jpp8 1524290710 installed <13>Mar 5 03:30:59 rpmi: pegdown-1.4.2-alt1_12jpp8 1524309539 installed <13>Mar 5 03:30:59 rpmi: antlr-tool-0:2.7.7-alt12_53jpp8 1525882426 installed <13>Mar 5 03:31:00 rpmi: gpars-1.2.1-alt1_12jpp8 sisyphus+221710.100.1.1 1550377267 installed <13>Mar 5 03:31:00 rpmi: groovy-lib-0:2.4.8-alt1_5jpp8 1524261040 installed <13>Mar 5 03:31:00 rpmi: xbean-0:4.8-alt1_1jpp8 1527831195 installed <13>Mar 5 03:31:00 rpmi: plexus-containers-container-default-0:1.7.1-alt1_6jpp8 1527990031 installed <13>Mar 5 03:31:00 rpmi: maven-plugin-registry-1:2.2.1-alt6_56jpp8 1510505131 installed <13>Mar 5 03:31:00 rpmi: maven-settings-1:2.2.1-alt6_56jpp8 1510505131 installed <13>Mar 5 03:31:00 rpmi: maven-doxia-logging-api-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed <13>Mar 5 03:31:00 rpmi: maven-doxia-sink-api-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed <13>Mar 5 03:31:00 rpmi: maven-reporting-api-1:3.0-alt3_13jpp8 1510514759 installed <13>Mar 5 03:31:00 rpmi: maven-plugin-annotations-0:3.5.1-alt1_1jpp8 1525824925 installed <13>Mar 5 03:31:00 rpmi: maven-surefire-0:2.21.0-alt1_1jpp8 1527848673 installed <13>Mar 5 03:31:00 rpmi: maven-surefire-plugin-0:2.21.0-alt1_1jpp8 1527848673 installed <13>Mar 5 03:31:00 rpmi: maven-surefire-provider-junit-0:2.21.0-alt1_1jpp8 1527848673 installed <13>Mar 5 03:31:00 rpmi: maven-surefire-provider-testng-0:2.21.0-alt1_1jpp8 1527848673 installed <13>Mar 5 03:31:00 rpmi: maven-artifact-manager-1:2.2.1-alt6_56jpp8 1510505131 installed <13>Mar 5 03:31:00 rpmi: maven-profile-1:2.2.1-alt6_56jpp8 1510505131 installed <13>Mar 5 03:31:00 rpmi: maven-project-1:2.2.1-alt6_56jpp8 1510505131 installed <13>Mar 5 03:31:00 rpmi: plexus-resources-0:1.0-alt7_0.23.a7jpp8 1524375878 installed <13>Mar 5 03:31:00 rpmi: maven-remote-resources-plugin-1.5-alt1_1jpp8 1527177576 installed <13>Mar 5 03:31:00 rpmi: plexus-i18n-0:1.0-alt7_0.11.b10.4jpp8 1524312824 installed <13>Mar 5 03:31:00 rpmi: plexus-velocity-0:1.2-alt1_4jpp8 1524376629 installed <13>Mar 5 03:31:00 rpmi: xml-commons-resolver-0:1.2-alt1_24jpp8 1525932051 installed <13>Mar 5 03:31:00 rpmi: xalan-j2-0:2.7.1-alt4_34jpp8 1525931290 installed <13>Mar 5 03:31:01 rpmi: xerces-j2-0:2.11.0-alt3_31jpp8 1524211519 installed <13>Mar 5 03:31:01 rpmi: batik-css-0:1.10-alt1_2jpp8 sisyphus+220497.100.1.2 1549284940 installed <13>Mar 5 03:31:01 rpmi: batik-0:1.10-alt1_2jpp8 sisyphus+220497.100.1.2 1549284940 installed <13>Mar 5 03:31:01 rpmi: xmlunit-0:1.6-alt1_7jpp8 1525933352 installed <13>Mar 5 03:31:01 rpmi: maven-doxia-core-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed <13>Mar 5 03:31:01 rpmi: maven-doxia-module-xhtml-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed <13>Mar 5 03:31:01 rpmi: maven-doxia-module-markdown-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed <13>Mar 5 03:31:01 rpmi: maven-doxia-module-apt-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed <13>Mar 5 03:31:01 rpmi: maven-doxia-module-fml-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed <13>Mar 5 03:31:01 rpmi: maven-doxia-module-xdoc-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed <13>Mar 5 03:31:01 rpmi: xmvn-subst-3.0.0-alt1_18jpp8 1527991448 installed <13>Mar 5 03:31:01 rpmi: xmvn-resolve-3.0.0-alt1_18jpp8 1527991448 installed <13>Mar 5 03:31:01 rpmi: python3-module-genshi-0.7-alt1.1.1.1 1460400303 installed <13>Mar 5 03:31:01 rpmi: python3-module-webencodings-0.5.1-alt1.1 1517943573 installed <13>Mar 5 03:31:01 rpmi: python3-module-cssselect-0.9.1-alt1.2 1526980827 installed <13>Mar 5 03:31:01 rpmi: python3-module-html5lib-1:0.999999999-alt4.qa1 sisyphus.214868.100 1539741045 installed <13>Mar 5 03:31:01 rpmi: python3-module-lxml-4.3.2-alt1 sisyphus+223616.100.1.1 1551715497 installed <13>Mar 5 03:31:01 rpmi: python3-module-javapackages-1:5.0.0-alt1_12jpp8 1525973129 installed <13>Mar 5 03:31:01 rpmi: javapackages-local-1:5.0.0-alt1_12jpp8 1525973129 installed <13>Mar 5 03:31:01 rpmi: rpm-build-java-1:5.0.0-alt1_12jpp8 1525973129 installed <13>Mar 5 03:31:01 rpmi: ca-trust-java-0.1.1-alt2 1515595785 installed <13>Mar 5 03:31:01 rpmi: libnss-3.42.1-alt1 sisyphus+220384.100.1.1 1549032470 installed <13>Mar 5 03:31:04 rpmi: java-1.8.0-openjdk-headless-0:1.8.0.151-alt2_5.b12jpp8 sisyphus+221510.200.2.1 1550224780 installed <13>Mar 5 03:31:06 rpmi: java-1.8.0-openjdk-0:1.8.0.151-alt2_5.b12jpp8 sisyphus+221510.200.2.1 1550224780 installed <13>Mar 5 03:31:06 rpmi: fop-0:2.0-alt1_9jpp8 1524189893 installed <13>Mar 5 03:31:06 rpmi: maven-doxia-module-fo-0:1.7-alt1_9jpp8 sisyphus+220185.100.1.1 1548779496 installed <13>Mar 5 03:31:06 rpmi: maven-doxia-sitetools-0:1.7.5-alt1_1jpp8 1511392380 installed <13>Mar 5 03:31:06 rpmi: maven-javadoc-plugin-3.0.0-alt1_4jpp8 1527985821 installed <13>Mar 5 03:31:06 rpmi: maven-reporting-impl-3.0.0-alt1_1jpp8 1511427039 installed <13>Mar 5 03:31:07 rpmi: java-1.8.0-openjdk-devel-0:1.8.0.151-alt2_5.b12jpp8 sisyphus+221510.200.2.1 1550224780 installed <13>Mar 5 03:31:07 rpmi: java-stub-javadoc-0.1-alt1 1229813340 installed <13>Mar 5 03:31:07 rpmi: jpackage-generic-compat-0.29-alt1 1523537205 installed <13>Mar 5 03:31:07 rpmi: maven-plugin-bundle-3.5.0-alt1_1jpp8 1525822813 installed <13>Mar 5 03:31:07 rpmi: maven-local-1:5.0.0-alt1_12jpp8 1525973129 installed <13>Mar 5 03:31:07 rpmi: apache-parent-19-alt1_2jpp8 1526646342 installed <13>Mar 5 03:31:07 rpmi: uimaj-2.8.1-alt1_7jpp8 1525928986 installed <13>Mar 5 03:31:07 rpmi: jwnl-1.4-alt1_0.5.rc3jpp8 1524410462 installed <13>Mar 5 03:31:07 rpmi: felix-osgi-compendium-1.4.0-alt5_27jpp8 sisyphus+220996.100.1.2 1549719898 installed Building target platforms: x86_64 Building for target x86_64 Wrote: /usr/src/in/nosrpm/opennlp-1.5.3-alt1_6jpp8.nosrc.rpm Installing opennlp-1.5.3-alt1_6jpp8.src.rpm Building target platforms: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.306 + 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/tar -xf - + /bin/gzip -dc /usr/src/RPM/SOURCES/apache-opennlp-1.5.3-src.tar.gz + 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 + python3 /usr/share/java-utils/pom_editor.py pom_remove_plugin -r :apache-rat-plugin opennlp + python3 /usr/share/java-utils/pom_editor.py pom_remove_plugin -r :maven-dependency-plugin opennlp + python3 /usr/share/java-utils/pom_editor.py pom_remove_plugin -r :maven-eclipse-plugin opennlp + python3 /usr/share/java-utils/pom_editor.py pom_remove_plugin -r :maven-source-plugin opennlp + python3 /usr/share/java-utils/pom_editor.py pom_remove_plugin -r :maven-javadoc-plugin opennlp + python3 /usr/share/java-utils/pom_editor.py pom_xpath_set -r pom:addClasspath false opennlp + python3 /usr/share/java-utils/pom_editor.py pom_disable_module ../opennlp-distr opennlp + python3 /usr/share/java-utils/pom_editor.py pom_disable_module ../opennlp-docs opennlp + for p in maxent tools + python3 /usr/share/java-utils/pom_editor.py pom_xpath_inject 'pom:dependency[pom:artifactId='\''junit'\'']' 'test' opennlp-maxent + for p in maxent tools + python3 /usr/share/java-utils/pom_editor.py pom_xpath_inject 'pom:dependency[pom:artifactId='\''junit'\'']' 'test' opennlp-tools + 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.341 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd apache-opennlp-1.5.3-src + 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: 0.121 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: 0.722 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: 0.594 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: 0.012 s - in opennlp.maxent.io.RealValueFileEventStreamTest [INFO] Running opennlp.maxent.quasinewton.LineSearchTest [INFO] Tests run: 8, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.164 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: 0.055 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: 0.076 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: 0.447 s - in opennlp.tools.doccat.DocumentCategorizerMETest [INFO] Running opennlp.tools.doccat.DocumentSampleTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.004 s - in opennlp.tools.doccat.DocumentSampleTest [INFO] Running opennlp.tools.dictionary.DictionaryAsSetCaseSensitiveTest [INFO] Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.011 s - in opennlp.tools.dictionary.DictionaryAsSetCaseSensitiveTest [INFO] Running opennlp.tools.dictionary.DictionaryTest [INFO] Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.126 s - in opennlp.tools.dictionary.DictionaryTest [INFO] Running opennlp.tools.dictionary.DictionaryAsSetCaseInsensitiveTest [INFO] Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.008 s - in opennlp.tools.dictionary.DictionaryAsSetCaseInsensitiveTest [INFO] Running opennlp.tools.cmdline.TerminateToolExceptionTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.008 s - in opennlp.tools.cmdline.TerminateToolExceptionTest [INFO] Running opennlp.tools.cmdline.ArgumentParserTest [INFO] Tests run: 11, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.103 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 -outputFile out -inputFile in [-encoding charsetName] Arguments description: -outputFile out The dictionary file. -inputFile in Plain file with one entry per line -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] -model model [-misclassified true|false] -data sampleData [-encoding charsetName] Arguments description: -model model the model file to be evaluated. -misclassified true|false if true will print false negatives and false positives. -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] [-folds num] [-misclassified true|false] [-alphaNumOpt isAlphaNumOpt] [-abbDict path] [-factory factoryName] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -data sampleData [-encoding charsetName] Arguments description: -folds num number of folds, default is 10. -misclassified true|false if true will print false negatives and false positives. -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] [-abbDict path] [-eosChars string] [-factory factoryName] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName] Arguments description: -abbDict path abbreviation dictionary in XML format. -eosChars string EOS characters. -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] -model model [-misclassified true|false] -data sampleData [-encoding charsetName] Arguments description: -model model the model file to be evaluated. -misclassified true|false if true will print false negatives and false positives. -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] [-abbDict path] [-eosChars string] [-factory factoryName] [-iterations num] [-cutoff num] [-params paramsFile] -lang language [-folds num] [-misclassified true|false] -data sampleData [-encoding charsetName] Arguments description: -abbDict path abbreviation dictionary in XML format. -eosChars string EOS characters. -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. -folds num number of folds, default is 10. -misclassified true|false if true will print false negatives and false positives. -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] -model model [-misclassified true|false] [-detailedF true|false] -data sampleData [-encoding charsetName] Arguments description: -model model the model file to be evaluated. -misclassified true|false if true will print false negatives and false positives. -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 [-folds num] [-misclassified true|false] [-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. -folds num number of folds, default is 10. -misclassified true|false if true will print false negatives and false positives. -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 [-lang code] -censusData censusDict [-encoding charsetName] Arguments description: -dict dict -lang code -censusData censusDict -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] -model model [-misclassified true|false] -data sampleData [-encoding charsetName] Arguments description: -reportOutputFile outputFile the path of the fine-grained report file. -model model the model file to be evaluated. -misclassified true|false if true will print false negatives and false positives. -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] [-folds num] [-misclassified true|false] [-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. -folds num number of folds, default is 10. -misclassified true|false if true will print false negatives and false positives. -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] -model model [-misclassified true|false] [-detailedF true|false] -data sampleData [-encoding charsetName] Arguments description: -model model the model file to be evaluated. -misclassified true|false if true will print false negatives and false positives. -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 [-folds num] [-misclassified true|false] [-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. -folds num number of folds, default is 10. -misclassified true|false if true will print false negatives and false positives. -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: 0.727 s - in opennlp.tools.cmdline.CLITest [INFO] Running opennlp.tools.postag.POSEvaluatorTest [INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 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: 2.163 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: 2.184 s - in opennlp.tools.postag.POSModelTest [INFO] Running opennlp.tools.postag.POSSampleTest [INFO] Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.01 s - in opennlp.tools.postag.POSSampleTest [INFO] Running opennlp.tools.postag.POSSampleEventStreamTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 s - in opennlp.tools.postag.POSSampleEventStreamTest [INFO] Running opennlp.tools.postag.POSDictionaryTest [INFO] Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.033 s - in opennlp.tools.postag.POSDictionaryTest [INFO] Running opennlp.tools.postag.WordTagSampleStreamTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 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: 1.48 s - in opennlp.tools.postag.POSTaggerMETest [INFO] Running opennlp.tools.util.SequenceTest [INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.017 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: 0.003 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: 0.014 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: 0.006 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: 0.015 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: 0.004 s - in opennlp.tools.util.PlainTextByLineStreamTest [INFO] Running opennlp.tools.util.VersionTest [INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.007 s - in opennlp.tools.util.VersionTest [INFO] Running opennlp.tools.util.SpanTest [INFO] Tests run: 23, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.023 s - in opennlp.tools.util.SpanTest [INFO] Running opennlp.tools.util.BeamSearchTest [INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.util.BeamSearchTest [INFO] Running opennlp.tools.util.ParagraphStreamTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.015 s - in opennlp.tools.util.ParagraphStreamTest [INFO] Running opennlp.tools.util.ListHeapTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 s - in opennlp.tools.util.ListHeapTest [INFO] Running opennlp.tools.util.AbstractEventStreamTest [INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 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 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: 0.002 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: 0.015 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 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 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: 0.098 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: 0.899 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: 3.049 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: 0.003 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 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: 0.61 s - in opennlp.tools.sentdetect.SentenceDetectorFactoryTest [INFO] Running opennlp.tools.sentdetect.SentenceDetectorEvaluatorTest [INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.006 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: 0.01 s - in opennlp.tools.sentdetect.SentenceDetectorMETest [INFO] Running opennlp.tools.sentdetect.SDEventStreamTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.sentdetect.SDEventStreamTest [INFO] Running opennlp.tools.sentdetect.DefaultEndOfSentenceScannerTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 s - in opennlp.tools.sentdetect.DefaultEndOfSentenceScannerTest [INFO] Running opennlp.tools.sentdetect.SentenceSampleTest [INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.sentdetect.SentenceSampleTest [INFO] Running opennlp.tools.chunker.ChunkSampleStreamTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 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: 1.295 s - in opennlp.tools.chunker.ChunkerMETest [INFO] Running opennlp.tools.chunker.ChunkerDetailedFMeasureListenerTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.019 s - in opennlp.tools.chunker.ChunkerDetailedFMeasureListenerTest [INFO] Running opennlp.tools.chunker.ChunkerEvaluatorTest [INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.011 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: 0.314 s - in opennlp.tools.chunker.ChunkerFactoryTest [INFO] Running opennlp.tools.chunker.ChunkSampleTest [INFO] Tests run: 13, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.012 s - in opennlp.tools.chunker.ChunkSampleTest [INFO] Running opennlp.tools.namefind.RegexNameFinderTest [INFO] Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 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: 2.284 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: 2.389 s - in opennlp.tools.namefind.NameFinderMETest [INFO] Running opennlp.tools.namefind.DictionaryNameFinderTest [INFO] Tests run: 7, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.006 s - in opennlp.tools.namefind.DictionaryNameFinderTest [INFO] Running opennlp.tools.namefind.NameSampleTest [INFO] Tests run: 11, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.namefind.NameSampleTest [INFO] Running opennlp.tools.namefind.TokenNameFinderEvaluatorTest [INFO] Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 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 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: 0.005 s - in opennlp.tools.formats.NameFinderCensus90NameStreamTest [INFO] Running opennlp.tools.formats.ConllXPOSSampleStreamTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 s - in opennlp.tools.formats.ConllXPOSSampleStreamTest [INFO] Running opennlp.tools.formats.LeipzigDoccatSampleStreamTest [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 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: 0.001 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: 0.003 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 destruídos, 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 destruídos, 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: 0.044 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: 0.002 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: 0.017 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: 0.007 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: 0.003 s - in opennlp.tools.formats.Conll02NameSampleStreamTest [INFO] Running opennlp.tools.formats.Conll03NameSampleStreamTest [INFO] Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.004 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: 0.005 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: 0.005 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: 0.03 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: 0.005 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: 20.324 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: 0.001 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: 9.519 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: 0.001 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 ]--------------------------------- [INFO] [INFO] --- maven-remote-resources-plugin:1.5:process (process-resource-bundles) @ opennlp-uima --- [INFO] [INFO] --- maven-resources-plugin:3.1.0:resources (default-resources) @ opennlp-uima --- [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-uima --- [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 [INFO] [INFO] --- maven-resources-plugin:3.1.0:testResources (default-testResources) @ opennlp-uima --- [INFO] Using 'UTF-8' encoding to copy filtered resources. [INFO] Copying 12 resources [INFO] Copying 5 resources [INFO] [INFO] --- maven-compiler-plugin:3.7.0:testCompile (default-testCompile) @ opennlp-uima --- [INFO] Changes detected - recompiling the module! [INFO] Compiling 1 source file to /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/target/test-classes [INFO] [INFO] --- maven-surefire-plugin:2.21.0:test (default-test) @ opennlp-uima --- [INFO] Tests are skipped. [INFO] [INFO] --- maven-jar-plugin:3.1.0:jar (default-jar) @ opennlp-uima --- [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 --- [INFO] [INFO] >>> maven-javadoc-plugin:3.0.0:aggregate (default-cli) > compile @ opennlp >>> [INFO] [INFO] >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> [INFO] Forking Apache OpenNLP Reactor 1.5.3 [INFO] >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> [INFO] [INFO] --- maven-remote-resources-plugin:1.5:process (process-resource-bundles) @ opennlp --- [INFO] [INFO] >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> [INFO] Forking Apache OpenNLP Maxent 3.0.3 [INFO] >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> [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] Copying 5 resources [INFO] [INFO] --- maven-compiler-plugin:3.7.0:compile (default-compile) @ opennlp-maxent --- [INFO] Nothing to compile - all classes are up to date [INFO] [INFO] >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> [INFO] Forking Apache OpenNLP Tools 1.5.3 [INFO] >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> [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] 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] 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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 [ 8.776 s] [INFO] Apache OpenNLP Maxent 3.0.3 ........................ SUCCESS [ 18.826 s] [INFO] Apache OpenNLP Tools ............................... SUCCESS [01:11 min] [INFO] Apache OpenNLP UIMA Annotators 1.5.3 ............... SUCCESS [ 0.708 s] [INFO] ------------------------------------------------------------------------ [INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------------ [INFO] Total time: 01:45 min [INFO] Finished at: 2019-03-05T03:33:23Z [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.63082 + 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 + 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) 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.18001 + 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.7DcVOK 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.6AWbdp find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,osgi-fc,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) [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.maven.plugins:maven-compiler-plugin), mvn(org.apache:apache:pom:) 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.40725 + 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.nRnef7 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:pom:) = 1.5.3, mvn(org.apache.opennlp:opennlp-tools) = 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.AR9zoS find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,osgi-fc,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) [INFO maven.req] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp-tools.xml'] [INFO maven.req] mvn(org.apache.opennlp:opennlp-maxent) = 3.0.3, mvn(net.sf.jwordnet:jwnl), javapackages-tools [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.73058 + 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.FjWObH 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.eLeL5y find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,osgi-fc,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) [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.R8TO7t 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:pom:) = 1.5.3, mvn(org.apache.opennlp:opennlp-uima) = 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.6vPZis find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,osgi-fc,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) [INFO maven.req] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp-uima.xml'] [INFO maven.req] mvn(org.apache.opennlp:opennlp-tools) = 1.5.3, javapackages-tools [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.74819 + 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.TA0jju 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.sQynqC find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,osgi-fc,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) 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 Wrote: /usr/src/RPM/RPMS/noarch/opennlp-tools-1.5.3-alt1_6jpp8.noarch.rpm Wrote: /usr/src/RPM/RPMS/noarch/opennlp-maxent-1.5.3-alt1_6jpp8.noarch.rpm Wrote: /usr/src/RPM/RPMS/noarch/opennlp-uima-1.5.3-alt1_6jpp8.noarch.rpm Wrote: /usr/src/RPM/RPMS/noarch/opennlp-javadoc-1.5.3-alt1_6jpp8.noarch.rpm 112.78user 4.22system 2:17.91elapsed 84%CPU (0avgtext+0avgdata 849280maxresident)k 0inputs+0outputs (0major+620608minor)pagefaults 0swaps 136.69user 9.99system 4:25.72elapsed 55%CPU (0avgtext+0avgdata 849280maxresident)k 28112inputs+0outputs (0major+1432700minor)pagefaults 0swaps