86>Apr 14 02:39:20 userdel[48679]: delete user 'rooter'
<86>Apr 14 02:39:20 userdel[48679]: removed group 'rooter' owned by 'rooter'
<86>Apr 14 02:39:20 userdel[48679]: removed shadow group 'rooter' owned by 'rooter'
<86>Apr 14 02:39:20 groupadd[48693]: group added to /etc/group: name=rooter, GID=633
<86>Apr 14 02:39:20 groupadd[48693]: group added to /etc/gshadow: name=rooter
<86>Apr 14 02:39:20 groupadd[48693]: new group: name=rooter, GID=633
<86>Apr 14 02:39:20 useradd[48697]: new user: name=rooter, UID=633, GID=633, home=/root, shell=/bin/bash
<86>Apr 14 02:39:20 userdel[48703]: delete user 'builder'
<86>Apr 14 02:39:20 userdel[48703]: removed group 'builder' owned by 'builder'
<86>Apr 14 02:39:20 userdel[48703]: removed shadow group 'builder' owned by 'builder'
<86>Apr 14 02:39:20 groupadd[48708]: group added to /etc/group: name=builder, GID=634
<86>Apr 14 02:39:20 groupadd[48708]: group added to /etc/gshadow: name=builder
<86>Apr 14 02:39:20 groupadd[48708]: new group: name=builder, GID=634
<86>Apr 14 02:39:20 useradd[48712]: new user: name=builder, UID=634, GID=634, home=/usr/src, shell=/bin/bash
<13>Apr 14 02:39:29 rpmi: perl-Encode-2.83-alt1 1459157776 installed
<13>Apr 14 02:39:29 rpmi: libjpeg-2:1.3.1-alt0.1 1388074033 installed
<13>Apr 14 02:39:29 rpmi: libpng15-1.5.28-alt1 1484572014 installed
<13>Apr 14 02:39:29 rpmi: ca-certificates-2016.02.25-alt1 1462368370 installed
<13>Apr 14 02:39:29 rpmi: libexpat-2.2.4-alt0.M80P.1 1503871120 installed
<13>Apr 14 02:39:29 rpmi: perl-HTTP-Date-6.02-alt1 1348645274 installed
<13>Apr 14 02:39:29 rpmi: libcrypto10-1.0.2n-alt0.M80P.1 1512766129 installed
<13>Apr 14 02:39:29 rpmi: libtasn1-4.9-alt1 1469555628 installed
<13>Apr 14 02:39:29 rpmi: libsqlite3-3.15.2-alt1 1480432212 installed
<13>Apr 14 02:39:29 rpmi: perl-XML-NamespaceSupport-1.11-alt3 1322003535 installed
<13>Apr 14 02:39:29 rpmi: libwayland-client-1.14.0-alt0.M80P.1 1502720500 installed
<13>Apr 14 02:39:29 rpmi: xml-utils-1:2.9.4.0.12.e905-alt1 1488560683 installed
<13>Apr 14 02:39:29 rpmi: libopenblas-0.2.14-alt1.git20150324 1433158855 installed
<13>Apr 14 02:39:29 rpmi: libnettle6-3.4.1-alt1 p8.217493.100 1544204548 installed
<13>Apr 14 02:39:29 rpmi: liblcms2-2.8-alt1 1471601528 installed
<13>Apr 14 02:39:29 rpmi: perl-LWP-MediaTypes-6.02-alt1 1329754558 installed
<13>Apr 14 02:39:29 rpmi: perl-Compress-Raw-Zlib-2.069-alt1.1 1448470036 installed
<13>Apr 14 02:39:29 rpmi: perl-libnet-1:3.08-alt1 1458419902 installed
<13>Apr 14 02:39:29 rpmi: perl-URI-1.71-alt1 1455181348 installed
<13>Apr 14 02:39:29 rpmi: perl-XML-SAX-Base-1.08-alt1 1317871344 installed
<13>Apr 14 02:39:29 rpmi: libwayland-server-1.14.0-alt0.M80P.1 1502720500 installed
<13>Apr 14 02:39:29 rpmi: libICE-1.0.9-alt1 1409902719 installed
<13>Apr 14 02:39:29 rpmi: eclipse-equinox-osgi-1:4.5.1-alt0.2jpp 1455216314 installed
<13>Apr 14 02:39:29 rpmi: sgml-common-0.6.3-alt15 1423664786 installed
<13>Apr 14 02:39:29 rpmi: docbook-dtds-4.5-alt1 1223476557 installed
<13>Apr 14 02:39:29 rpmi: docbook-style-xsl-1.79.1-alt2 p8.213672.100 1537975322 installed
<13>Apr 14 02:39:30 rpmi: libSM-1.2.2-alt1 1391072686 installed
<13>Apr 14 02:39:30 rpmi: perl-WWW-RobotRules-6.02-alt1 1329756211 installed
<13>Apr 14 02:39:30 rpmi: libhogweed4-3.4.1-alt1 p8.217493.100 1544204548 installed
<13>Apr 14 02:39:30 rpmi: libwayland-cursor-1.14.0-alt0.M80P.1 1502720500 installed
<13>Apr 14 02:39:30 rpmi: perl-File-Listing-6.04-alt1 1329758996 installed
<13>Apr 14 02:39:30 rpmi: libjasper-1.900.1-alt3 1391718482 installed
<13>Apr 14 02:39:30 rpmi: libtiff5-4.0.3-alt1 1348347498 installed
<13>Apr 14 02:39:30 rpmi: perl-Encode-Locale-1.05-alt1 1444608613 installed
<13>Apr 14 02:39:30 rpmi: perl-IO-HTML-1.001-alt1 1404821752 installed
<13>Apr 14 02:39:30 rpmi: zip-30000000:3.0-alt1 1332241778 installed
<13>Apr 14 02:39:30 rpmi: rpm-macros-java-1:4.6.0-alt9_12jpp8.1.1 1460387057 installed
<13>Apr 14 02:39:30 rpmi: libnatspec-0.3.1-alt2 1445691578 installed
<13>Apr 14 02:39:30 rpmi: unzip-6.0-alt2.qa1 1366155323 installed
<13>Apr 14 02:39:30 rpmi: libgif-4.1.6-alt3 1299634266 installed
<13>Apr 14 02:39:30 rpmi: libalsa-1:1.1.0-alt1.1.1 1454429213 installed
<13>Apr 14 02:39:30 rpmi: libnumpy-py3-1:1.12.1-alt0.M80P.1 1496160663 installed
<13>Apr 14 02:39:30 rpmi: libxblas-1.0.248-alt1 1322010716 installed
<13>Apr 14 02:39:30 rpmi: libquadmath0-5.3.1-alt3.M80P.1 p8+225520.100.3.1 1553688800 installed
<13>Apr 14 02:39:30 rpmi: libgfortran3-5.3.1-alt3.M80P.1 p8+225520.100.3.1 1553688800 installed
<13>Apr 14 02:39:30 rpmi: liblapack-1:3.5.0-alt1 1401382194 installed
<13>Apr 14 02:39:30 rpmi: libxkbcommon-0.7.2-alt0.M80P.1 1503524837 installed
<13>Apr 14 02:39:30 rpmi: libproxy-0.4.14-alt0.M80P.1 1491211278 installed
<13>Apr 14 02:39:30 rpmi: libnspr-1:4.20-alt1 p8.216526.40 1542382588 installed
<13>Apr 14 02:39:30 rpmi: libnss-3.40.0-alt0.M80P.1 p8.216526.44 1542814585 installed
<13>Apr 14 02:39:30 rpmi: libidn2-2.0.4-alt3.M80P.1 1520307194 installed
<13>Apr 14 02:39:30 rpmi: libdatrie-0.2.8-alt1_5 1410185969 installed
<13>Apr 14 02:39:30 rpmi: libthai-0.1.24-alt1_1 1459282110 installed
<13>Apr 14 02:39:30 rpmi: libepoxy-1.4.3-alt0.M80P.1 1498727071 installed
<13>Apr 14 02:39:30 rpmi: libatk-locales-2.24.0-alt0.M80P.1 1504535386 installed
<13>Apr 14 02:39:30 rpmi: libatk-2.24.0-alt0.M80P.1 1504535253 installed
<13>Apr 14 02:39:30 rpmi: libgudev-1:231-alt0.M80P.1 1487052830 installed
<13>Apr 14 02:39:30 rpmi: udev-rules-1:237-alt2.M80P.6 p8+221965.100.2.1 1550786259 installed
<13>Apr 14 02:39:30 rpmi: libusb-1.0.21-alt0.M80P.1 1485147102 installed
<13>Apr 14 02:39:30 rpmi: gtk+3-themes-incompatible-3.20-alt3 1461944560 installed
<13>Apr 14 02:39:30 rpmi: perl-IO-Socket-IP-0.37-alt1 1444921335 installed
<13>Apr 14 02:39:30 rpmi: perl-Compress-Raw-Bzip2-2.069-alt1.1 1448470068 installed
<13>Apr 14 02:39:30 rpmi: perl-IO-Compress-2.069-alt1 1444618007 installed
<13>Apr 14 02:39:30 rpmi: perl-HTTP-Message-6.11-alt1 1444616672 installed
<13>Apr 14 02:39:30 rpmi: perl-HTTP-Cookies-6.01-alt1 1329759964 installed
<13>Apr 14 02:39:30 rpmi: perl-HTTP-Negotiate-6.01-alt1 1329760563 installed
<13>Apr 14 02:39:30 rpmi: perl-Net-HTTP-6.09-alt1 1432310023 installed
<13>Apr 14 02:39:30 rpmi: perl-HTML-Tagset-3.20-alt2 1317725093 installed
<13>Apr 14 02:39:30 rpmi: perl-HTML-Parser-3.72-alt1 1455170565 installed
<13>Apr 14 02:39:30 rpmi: perl-libwww-6.15-alt1 1449505512 installed
<13>Apr 14 02:39:30 rpmi: libgdk-pixbuf-locales-2.36.11-alt0.M80P.1 1507198237 installed
<13>Apr 14 02:39:30 rpmi: liblz4-1:1.7.5-alt1 1488766699 installed
<13>Apr 14 02:39:30 rpmi: rpm-build-xdg-0.2-alt1 1250461503 installed
<13>Apr 14 02:39:30 rpmi: shared-mime-info-1.9-alt0.M80P.1 1506021412 installed
<13>Apr 14 02:39:30 rpmi: gsettings-desktop-schemas-data-3.24.1-alt0.M80P.1 1504768054 installed
<13>Apr 14 02:39:30 rpmi: libpixman-3:0.32.8-alt1 1447610691 installed
<13>Apr 14 02:39:30 rpmi: libxshmfence-1.2-alt1 1420972191 installed
<13>Apr 14 02:39:30 rpmi: libpciaccess-1:0.13.4-alt1 1431681688 installed
<13>Apr 14 02:39:30 rpmi: libdrm-1:2.4.89-alt1.M80P.1 1516609380 installed
<13>Apr 14 02:39:30 rpmi: libgbm-4:18.0.5-alt1.M80P.1 p8+226404.100.1.1 1554206332 installed
<13>Apr 14 02:39:30 rpmi: t1lib-5.1.2-alt5 1326979643 installed
<13>Apr 14 02:39:30 rpmi: libkpathsea-2008.0-alt0.15.6 1449446882 installed
<13>Apr 14 02:39:30 rpmi: libX11-locales-3:1.6.3-alt1 1431956885 installed
<13>Apr 14 02:39:30 rpmi: libXdmcp-1.1.1-alt1 1334617699 installed
<13>Apr 14 02:39:30 rpmi: libXau-1.0.8-alt1 1369565807 installed
<13>Apr 14 02:39:30 rpmi: libxcb-1.12-alt2 p8.218219.300 1545313310 installed
<13>Apr 14 02:39:30 rpmi: libX11-3:1.6.3-alt1 1431956911 installed
<13>Apr 14 02:39:30 rpmi: libXext-1.3.3-alt1 1409902932 installed
<13>Apr 14 02:39:30 rpmi: libXrender-0.9.8-alt1 1371312110 installed
<13>Apr 14 02:39:30 rpmi: libXfixes-5.0.1-alt1 1369809606 installed
<13>Apr 14 02:39:30 rpmi: libXi-1.7.9-alt1.M80P.1 1515766146 installed
<13>Apr 14 02:39:30 rpmi: libXtst-1.2.2-alt1 1369984880 installed
<13>Apr 14 02:39:30 rpmi: libXdamage-1.1.3-alt4 1297162596 installed
<13>Apr 14 02:39:30 rpmi: libXcursor-1.1.15-alt1.M80P.1 1512373713 installed
<13>Apr 14 02:39:30 rpmi: libXrandr-1.5.0-alt1 1431936188 installed
<13>Apr 14 02:39:30 rpmi: libXxf86vm-1.1.3-alt1 1369984824 installed
<13>Apr 14 02:39:30 rpmi: libGL-4:18.0.5-alt1.M80P.1 p8+226404.100.1.1 1554206332 installed
<13>Apr 14 02:39:30 rpmi: libEGL-4:18.0.5-alt1.M80P.1 p8+226404.100.1.1 1554206332 installed
<13>Apr 14 02:39:30 rpmi: libwayland-egl-4:18.0.5-alt1.M80P.1 p8+226404.100.1.1 1554206332 installed
<13>Apr 14 02:39:30 rpmi: libXinerama-1.1.3-alt1 1369984571 installed
<13>Apr 14 02:39:30 rpmi: libXt-1.1.4-alt1 1369984716 installed
<13>Apr 14 02:39:30 rpmi: libXpm-3.5.11-alt1 1391072398 installed
<13>Apr 14 02:39:30 rpmi: libXcomposite-0.4.3-alt3 1297306939 installed
<13>Apr 14 02:39:31 rpmi: libgpg-error-1.31-alt1.M80P.1 1529024730 installed
<13>Apr 14 02:39:31 rpmi: libgcrypt20-1.8.3-alt4 p8+219793.200.6.1 1551112986 installed
<13>Apr 14 02:39:31 rpmi: libsystemd-1:237-alt2.M80P.6 p8+221965.100.2.1 1550786217 installed
<13>Apr 14 02:39:31 rpmi: libdbus-1.10.24-alt4.M80P.1 1518773282 installed
<13>Apr 14 02:39:31 rpmi: libat-spi2-core-2.24.1-alt0.M80P.1 1504536015 installed
<13>Apr 14 02:39:31 rpmi: libavahi-0.6.31-alt7.M80P.1 1526318593 installed
<13>Apr 14 02:39:31 rpmi: libxslt-1.1.28-alt4 1448210404 installed
<13>Apr 14 02:39:31 rpmi: libsnappy-1.1.3-alt1 1450962240 installed
<13>Apr 14 02:39:31 rpmi: publicsuffix-list-20190329-alt1 p8+226349.100.1.1 1554128046 installed
<13>Apr 14 02:39:31 rpmi: libverto-0.2.6-alt1_6 1455633234 installed
<13>Apr 14 02:39:31 rpmi: libkeyutils-1.5.10-alt0.M80P.2 p8+216694.100.6.1 1547827915 installed
<13>Apr 14 02:39:31 rpmi: libcom_err-1.42.13-alt2 1449075846 installed
<13>Apr 14 02:39:31 rpmi: libgdbm-1.8.3-alt10 1454943313 installed
<13>Apr 14 02:39:31 rpmi: libgraphite2-1.3.10-alt0.M80P.1 1496411360 installed
<13>Apr 14 02:39:31 rpmi: ca-certificates-java-0.01-alt1 1316102488 installed
<13>Apr 14 02:39:31 rpmi: liblksctp-1.0.16-alt1 1392950081 installed
<13>Apr 14 02:39:31 rpmi: lksctp-tools-1.0.16-alt1 1392950081 installed
<13>Apr 14 02:39:31 rpmi: tzdata-java-2018g-alt0.M80P.1 p8.215998.100 1541069800 installed
<13>Apr 14 02:39:31 rpmi: liblua5.3-5.3.4-alt1.M80P.1 1533735694 installed
<13>Apr 14 02:39:31 rpmi: lua5.3-5.3.4-alt1.M80P.1 1533735694 installed
<13>Apr 14 02:39:31 rpmi: javapackages-tools-1:4.6.0-alt9_12jpp8.1.1 1460387057 installed
<13>Apr 14 02:39:31 rpmi: plexus-utils-0:3.0.22-alt2_2jpp8 1455215688 installed
<13>Apr 14 02:39:31 rpmi: apache-commons-logging-0:1.2-alt1_4jpp8 1454499300 installed
<13>Apr 14 02:39:31 rpmi: maven-artifact-1:2.2.1-alt6_52jpp8 1454801362 installed
<13>Apr 14 02:39:31 rpmi: apache-commons-io-1:2.4-alt5_14jpp8 1454497900 installed
<13>Apr 14 02:39:31 rpmi: maven-model-1:2.2.1-alt6_52jpp8 1454801362 installed
<13>Apr 14 02:39:31 rpmi: apache-commons-lang-0:2.6-alt5_17jpp8 1454528424 installed
<13>Apr 14 02:39:31 rpmi: plexus-containers-component-annotations-0:1.6-alt2_4jpp8 1455215323 installed
<13>Apr 14 02:39:31 rpmi: plexus-interpolation-0:1.22-alt1_4jpp8 1454351652 installed
<13>Apr 14 02:39:31 rpmi: slf4j-0:1.7.14-alt1_1jpp8 1455215981 installed
<13>Apr 14 02:39:31 rpmi: maven-wagon-provider-api-0:2.9-alt1_4jpp8 1454660172 installed
<13>Apr 14 02:39:31 rpmi: xml-commons-apis-1.4.01-alt3_19jpp8 1454354760 installed
<13>Apr 14 02:39:31 rpmi: atinject-0:1-alt7_21.20100611svn86jpp8 1455211774 installed
<13>Apr 14 02:39:31 rpmi: apache-commons-collections-0:3.2.1-alt10_26jpp8 1454496463 installed
<13>Apr 14 02:39:31 rpmi: guava-18.0-alt2_4jpp8 1455076018 installed
<13>Apr 14 02:39:31 rpmi: aether-api-1:1.0.2-alt1_2jpp8 1454245213 installed
<13>Apr 14 02:39:31 rpmi: aether-util-1:1.0.2-alt1_2jpp8 1454245213 installed
<13>Apr 14 02:39:31 rpmi: aether-spi-1:1.0.2-alt1_2jpp8 1454245213 installed
<13>Apr 14 02:39:31 rpmi: apache-commons-cli-0:1.3.1-alt1_2jpp8 1454684844 installed
<13>Apr 14 02:39:31 rpmi: apache-commons-codec-0:1.10-alt1_2jpp8 1454496081 installed
<13>Apr 14 02:39:31 rpmi: httpcomponents-core-4.4.1-alt1_2jpp8 1454502039 installed
<13>Apr 14 02:39:31 rpmi: httpcomponents-client-4.5-alt1_2jpp8 1455068220 installed
<13>Apr 14 02:39:31 rpmi: plexus-classworlds-0:2.5.2-alt2_3jpp8 1455215046 installed
<13>Apr 14 02:39:31 rpmi: beust-jcommander-1.47-alt1_2jpp8 1454329132 installed
<13>Apr 14 02:39:31 rpmi: velocity-1:1.7-alt3_18jpp8 1454972693 installed
<13>Apr 14 02:39:31 rpmi: ant-lib-0:1.9.6-alt1_2jpp8 1454360411 installed
<13>Apr 14 02:39:31 rpmi: qdox-1:2.0-alt1_0.4.M3jpp8 1454970922 installed
<13>Apr 14 02:39:31 rpmi: log4j-0:2.3-alt1_2jpp8 1454879291 installed
<13>Apr 14 02:39:31 rpmi: felix-osgi-core-0:1.4.0-alt5_18jpp8 1454501076 installed
<13>Apr 14 02:39:31 rpmi: aopalliance-0:1.0-alt6_11jpp8 1455074813 installed
<13>Apr 14 02:39:32 rpmi: google-guice-0:4.0-alt1_3jpp8 1455075341 installed
<13>Apr 14 02:39:32 rpmi: apache-commons-compress-0:1.10-alt3_0.2.svn1684406jpp8 1454497220 installed
<13>Apr 14 02:39:32 rpmi: geronimo-annotation-1.0-alt3_17jpp8 1455214554 installed
<13>Apr 14 02:39:32 rpmi: jsoup-1.8.2-alt1_2jpp8 1454336559 installed
<13>Apr 14 02:39:32 rpmi: maven-wagon-http-shared-0:2.9-alt1_4jpp8 1454660172 installed
<13>Apr 14 02:39:32 rpmi: jsr-305-1:0-alt4_0.18.20130910svnjpp8 1454337294 installed
<13>Apr 14 02:39:32 rpmi: maven-shared-utils-0.8-alt1_1jpp8 1454347466 installed
<13>Apr 14 02:39:32 rpmi: plexus-cipher-1.7-alt3_10jpp8 1454523727 installed
<13>Apr 14 02:39:32 rpmi: plexus-sec-dispatcher-1.4-alt4_20jpp8 1454525541 installed
<13>Apr 14 02:39:32 rpmi: glassfish-servlet-api-3.1.0-alt3_9jpp8 1454331037 installed
<13>Apr 14 02:39:32 rpmi: maven-wagon-http-0:2.9-alt1_4jpp8 1454660172 installed
<13>Apr 14 02:39:32 rpmi: apache-commons-httpclient-1:3.1-alt6_23jpp8 1454494549 installed
<13>Apr 14 02:39:32 rpmi: aether-connector-basic-1:1.0.2-alt1_2jpp8 1454245213 installed
<13>Apr 14 02:39:32 rpmi: aether-impl-1:1.0.2-alt1_2jpp8 1454245213 installed
<13>Apr 14 02:39:32 rpmi: aether-transport-wagon-1:1.0.2-alt1_2jpp8 1454245213 installed
<13>Apr 14 02:39:32 rpmi: maven-dependency-tree-2.2-alt1_2jpp8 1454333990 installed
<13>Apr 14 02:39:32 rpmi: apache-commons-beanutils-0:1.9.2-alt5_4jpp8 1454653904 installed
<13>Apr 14 02:39:32 rpmi: maven-wagon-file-0:2.9-alt1_4jpp8 1454660172 installed
<13>Apr 14 02:39:32 rpmi: plexus-io-0:2.6-alt1_2jpp8 1454351951 installed
<13>Apr 14 02:39:32 rpmi: plexus-build-api-0:0.0.7-alt3_15jpp8 1454523473 installed
<13>Apr 14 02:39:32 rpmi: jetty-util-9.3.0-alt1_6jpp8 1455212607 installed
<13>Apr 14 02:39:32 rpmi: log4j12-1.2.17-alt1_10jpp8 1454661323 installed
<13>Apr 14 02:39:32 rpmi: hawtjni-runtime-0:1.10-alt1_5jpp8 1454232148 installed
<13>Apr 14 02:39:32 rpmi: javamail-1.5.2-alt1_2jpp8 1454406438 installed
<13>Apr 14 02:39:32 rpmi: maven-monitor-1:2.2.1-alt6_52jpp8 1454801362 installed
<13>Apr 14 02:39:32 rpmi: jansi-native-0:1.5-alt2_9jpp8 1455226228 installed
<13>Apr 14 02:39:32 rpmi: slf4j-log4j12-0:1.7.14-alt1_1jpp8 1455215981 installed
<13>Apr 14 02:39:32 rpmi: jetty-http-9.3.0-alt1_6jpp8 1455212607 installed
<13>Apr 14 02:39:32 rpmi: jetty-io-9.3.0-alt1_6jpp8 1455212607 installed
<13>Apr 14 02:39:32 rpmi: jetty-server-9.3.0-alt1_6jpp8 1455212607 installed
<13>Apr 14 02:39:32 rpmi: jetty-security-9.3.0-alt1_6jpp8 1455212607 installed
<13>Apr 14 02:39:32 rpmi: jetty-servlet-9.3.0-alt1_6jpp8 1455212607 installed
<13>Apr 14 02:39:32 rpmi: apache-commons-digester-0:2.1-alt3_5jpp8 1454497559 installed
<13>Apr 14 02:39:32 rpmi: apache-commons-validator-1:1.4.1-alt1_1jpp8 1454499882 installed
<13>Apr 14 02:39:32 rpmi: plexus-component-api-1.0-alt4_0.19.alpha15jpp8 1454288789 installed
<13>Apr 14 02:39:32 rpmi: plexus-interactivity-api-0:1.0-alt6_0.21.alpha6jpp8 1454798243 installed
<13>Apr 14 02:39:32 rpmi: xpp3-1:1.1.4-alt1_7.cjpp8 1454365682 installed
<13>Apr 14 02:39:32 rpmi: kxml-2.3.0-alt3_8jpp8 1454339444 installed
<13>Apr 14 02:39:32 rpmi: maven-invoker-2.2-alt1_2jpp8 1454521015 installed
<13>Apr 14 02:39:32 rpmi: apache-commons-configuration-0:1.10-alt1_5jpp8 1454628504 installed
<13>Apr 14 02:39:32 rpmi: xmlgraphics-commons-0:2.0.1-alt1_1jpp8 1454464771 installed
<13>Apr 14 02:39:32 rpmi: apache-commons-discovery-2:0.5-alt3_14jpp8 1454372690 installed
<13>Apr 14 02:39:32 rpmi: fontbox-0:1.8.10-alt1_1jpp8 1455331082 installed
<13>Apr 14 02:39:32 rpmi: plexus-compiler-0:2.4-alt1_3jpp8 1454520666 installed
<13>Apr 14 02:39:32 rpmi: java-common-1.5.0-alt1 1329330500 installed
<13>Apr 14 02:39:32 rpmi: hamcrest-core-0:1.3-alt3_13jpp8 1454359500 installed
<13>Apr 14 02:39:32 rpmi: junit-1:4.12-alt1_3jpp8 1454337991 installed
<13>Apr 14 02:39:32 rpmi: apache-commons-lang3-3.4-alt4_2jpp8 1454499021 installed
<13>Apr 14 02:39:32 rpmi: jboss-interceptors-1.2-api-1.0.0-alt1_3jpp8 1454368450 installed
<13>Apr 14 02:39:32 rpmi: glassfish-el-api-3.0.0-alt2_7jpp8 1454397483 installed
<13>Apr 14 02:39:32 rpmi: cdi-api-1.1-alt2_12jpp8 1455234403 installed
<13>Apr 14 02:39:32 rpmi: maven-filesystem-0.01-alt2.1 1460115697 installed
<13>Apr 14 02:39:32 rpmi: args4j-2.32-alt1_2jpp8 1455066323 installed
<13>Apr 14 02:39:32 rpmi: javaewah-0.8.4-alt1_5jpp8 1454334842 installed
<13>Apr 14 02:39:32 rpmi: jzlib-0:1.1.3-alt1_3jpp8 1454282833 installed
<13>Apr 14 02:39:32 rpmi: jsch-0:0.1.53-alt1_3jpp8 1454282925 installed
<13>Apr 14 02:39:32 rpmi: jna-4.1.0-alt1_9jpp8 1454657197 installed
<13>Apr 14 02:39:32 rpmi: snappy-java-1.0.5-alt1_5jpp8 1454527043 installed
<13>Apr 14 02:39:32 rpmi: plexus-archiver-0:3.0.1-alt1_0.2.gitdc873a4jpp8 1454349895 installed
<13>Apr 14 02:39:32 rpmi: maven-plugin-testing-harness-3.3.0-alt1_3jpp8 1454370261 installed
<13>Apr 14 02:39:32 rpmi: codehaus-parent-0:4-alt4_9jpp8 1454326089 installed
<13>Apr 14 02:39:32 rpmi: aqute-bndlib-0:2.4.1-alt2_2jpp8 1454542124 installed
<13>Apr 14 02:39:32 rpmi: felix-osgi-foundation-1.2.0-alt5_19jpp8 1454501353 installed
<13>Apr 14 02:39:32 rpmi: felix-osgi-compendium-1.4.0-alt5_21jpp8 1454500822 installed
<13>Apr 14 02:39:33 rpmi: felix-utils-1.8.0-alt1_2jpp8 1454501594 installed
<13>Apr 14 02:39:33 rpmi: felix-bundlerepository-1.6.6-alt4_18jpp8 1454500577 installed
<13>Apr 14 02:39:33 rpmi: felix-framework-5.0.0-alt1_1jpp8 1454655239 installed
<13>Apr 14 02:39:33 rpmi: geronimo-jms-1.1.1-alt3_20jpp8 1454394717 installed
<13>Apr 14 02:39:33 rpmi: xmvn-api-2.4.0-alt1_5jpp8 1454815430 installed
<13>Apr 14 02:39:33 rpmi: apache-resource-bundles-1:2-alt4_16jpp8 1454327756 installed
<13>Apr 14 02:39:33 rpmi: jvnet-parent-4-alt1_6jpp8 1454246588 installed
<13>Apr 14 02:39:33 rpmi: jaxen-0:1.1.6-alt1_7jpp8 1454408123 installed
<13>Apr 14 02:39:33 rpmi: sonatype-oss-parent-7-alt1_10jpp8 1454232890 installed
<13>Apr 14 02:39:33 rpmi: jcip-annotations-1:1-alt3_17.20060626jpp8 1454335102 installed
<13>Apr 14 02:39:33 rpmi: jai-imageio-core-1.2-alt1_0.16.20100217cvsjpp8 1454404489 installed
<13>Apr 14 02:39:33 rpmi: batik-css-0:1.8-alt2_2jpp8 1462454556 installed
<13>Apr 14 02:39:33 rpmi: wsdl4j-0:1.6.3-alt1_6jpp8 1454463125 installed
<13>Apr 14 02:39:34 rpmi: axis-0:1.4-alt4_27jpp8 1455214260 installed
<13>Apr 14 02:39:34 rpmi: uimaj-2.5.0-alt1_5jpp8 1454729814 installed
<13>Apr 14 02:39:34 rpmi: jwnl-1.4-alt1_0.1.rc3jpp8 1455218453 installed
<13>Apr 14 02:39:34 rpmi: libgio-2.52.3-alt0.M80P.1 1504533271 installed
<13>Apr 14 02:39:34 rpmi: xalan-j2-0:2.7.1-alt4_27jpp8 1454528011 installed
<13>Apr 14 02:39:34 rpmi: gobject-introspection-1.52.1-alt0.M80P.1 1504533480 installed
<13>Apr 14 02:39:34 rpmi: libgdk-pixbuf-2.36.11-alt0.M80P.1 1507198160 installed
<13>Apr 14 02:39:34 rpmi: libp11-kit-0.23.8-alt1.M80P.1 1504877563 installed
<86>Apr 14 02:39:34 groupadd[85283]: group added to /etc/group: name=messagebus, GID=499
<86>Apr 14 02:39:34 groupadd[85283]: group added to /etc/gshadow: name=messagebus
<86>Apr 14 02:39:34 groupadd[85283]: new group: name=messagebus, GID=499
<86>Apr 14 02:39:34 useradd[85332]: new user: name=messagebus, UID=499, GID=499, home=/run/dbus, shell=/dev/null
<13>Apr 14 02:39:34 rpmi: dbus-1.10.24-alt4.M80P.1 1518773282 installed
<86>Apr 14 02:39:34 groupadd[85556]: group added to /etc/group: name=_keytab, GID=498
<86>Apr 14 02:39:34 groupadd[85556]: new group: name=_keytab, GID=498
<13>Apr 14 02:39:34 rpmi: libkrb5-1.14.6-alt1.M80P.1 1525355673 installed
<13>Apr 14 02:39:34 rpmi: gobject-introspection-x11-1.52.1-alt0.M80P.1 1504533480 installed
<13>Apr 14 02:39:34 rpmi: bsf-1:2.4.0-alt3_22jpp8 1454382101 installed
<13>Apr 14 02:39:34 rpmi: bsh-0:1.3.0-alt6_33jpp8 1454528996 installed
<13>Apr 14 02:39:35 rpmi: testng-0:6.8.21-alt2_2jpp8 1455221032 installed
<13>Apr 14 02:39:35 rpmi: gsettings-desktop-schemas-3.24.1-alt0.M80P.1 1504768052 installed
<13>Apr 14 02:39:35 rpmi: libgusb-0.2.11-alt0.M80P.1 1503526571 installed
<13>Apr 14 02:39:35 rpmi: libcolord-1.3.5-alt0.M80P.1 1488875506 installed
<13>Apr 14 02:39:35 rpmi: perl-XML-SAX-0.99-alt2 1384805188 installed
<13>Apr 14 02:39:35 rpmi: libssl10-1.0.2n-alt0.M80P.1 1512766129 installed
<13>Apr 14 02:39:35 rpmi: libharfbuzz-1.6.3-alt0.M80P.1 1509918814 installed
<13>Apr 14 02:39:35 rpmi: libfreetype-2.8-alt0.M80P.3 1505462817 installed
<13>Apr 14 02:39:38 rpmi: java-1.8.0-openjdk-headless-0:1.8.0.144-alt1_1.b01jpp8.M80P.3 p8+219909.100.1.1 1548335813 installed
<13>Apr 14 02:39:41 rpmi: fontconfig-2.12.6-alt1.M80P.1 1506008910 installed
Updating fonts cache: <29>Apr 14 02:39:42 fontconfig: Updating fonts cache: succeeded
[ DONE ]
<13>Apr 14 02:39:42 rpmi: libcairo-1:1.14.4-alt1 1447005495 installed
<13>Apr 14 02:39:42 rpmi: libcairo-gobject-1:1.14.4-alt1 1447005495 installed
<13>Apr 14 02:39:42 rpmi: libgd2-2.0.35-alt6 1366289709 installed
<13>Apr 14 02:39:42 rpmi: dvipng-1.14-alt1.qa1.1 1449176640 installed
<13>Apr 14 02:39:42 rpmi: libXft-2.3.2-alt1 1409902650 installed
<13>Apr 14 02:39:42 rpmi: libpango-1.40.14-alt0.M80P.1 1510824230 installed
<13>Apr 14 02:39:42 rpmi: libpango-gir-1.40.14-alt0.M80P.1 1510824230 installed
<13>Apr 14 02:39:42 rpmi: fonts-type1-xorg-7.0.0-alt4 1188553211 installed
<13>Apr 14 02:39:42 rpmi: java-1.8.0-openjdk-0:1.8.0.144-alt1_1.b01jpp8.M80P.3 p8+219909.100.1.1 1548335813 installed
<13>Apr 14 02:39:43 rpmi: java-1.8.0-openjdk-devel-0:1.8.0.144-alt1_1.b01jpp8.M80P.3 p8+219909.100.1.1 1548335813 installed
<13>Apr 14 02:39:43 rpmi: jgit-4.1.0-alt0.1jpp 1454105559 installed
<13>Apr 14 02:39:43 rpmi: perl-XML-Simple-2.22-alt1 1449506808 installed
<13>Apr 14 02:39:43 rpmi: icon-naming-utils-0.8.90-alt1 1236573102 installed
<13>Apr 14 02:39:44 rpmi: icon-theme-adwaita-3.24.0-alt0.M80P.1 1504567873 installed
<13>Apr 14 02:39:44 rpmi: libcups-2.1.0-alt2.M80P.4 p8+223280.100.1.1 1551372192 installed
<13>Apr 14 02:39:44 rpmi: dbus-tools-gui-1.10.24-alt4.M80P.1 1518773282 installed
<13>Apr 14 02:39:44 rpmi: at-spi2-core-2.24.1-alt0.M80P.1 1504536015 installed
<13>Apr 14 02:39:44 rpmi: at-spi2-atk-2.24.1-alt0.M80P.1 1504536077 installed
<13>Apr 14 02:39:44 rpmi: libgnutls30-3.6.7-alt0.M80P.1 p8+225835.100.2.1 1554226496 installed
<13>Apr 14 02:39:44 rpmi: glib-networking-2.50.0-alt1.M80P.1 1503575484 installed
<13>Apr 14 02:39:44 rpmi: libsoup-2.62.2-alt0.M80P.1 1528058397 installed
<13>Apr 14 02:39:44 rpmi: libsoup-gnome-2.62.2-alt0.M80P.1 1528058397 installed
<13>Apr 14 02:39:44 rpmi: librest-0.8.1-alt0.M80P.1 1509920808 installed
<13>Apr 14 02:39:44 rpmi: gtk-update-icon-cache-2.24.31-alt1 1473461609 installed
<13>Apr 14 02:39:44 rpmi: libgdk-pixbuf-gir-2.36.11-alt0.M80P.1 1507198160 installed
<13>Apr 14 02:39:44 rpmi: libatk-gir-2.24.0-alt0.M80P.1 1504535253 installed
<13>Apr 14 02:39:44 rpmi: xmlunit-0:1.6-alt1_2jpp8 1454355066 installed
<13>Apr 14 02:39:44 rpmi: jdom-0:1.1.3-alt3_9jpp8 1454335789 installed
<13>Apr 14 02:39:44 rpmi: libdconf-0.26.1-alt0.M80P.1 1507197872 installed
<13>Apr 14 02:39:44 rpmi: dconf-0.26.1-alt0.M80P.1 1507197872 installed
<13>Apr 14 02:39:44 rpmi: libgtk+3-schemas-3.22.26-alt0.M80P.1 1510825424 installed
<13>Apr 14 02:39:44 rpmi: libpolkit-0.113-alt2 1469643478 installed
<86>Apr 14 02:39:44 groupadd[103166]: group added to /etc/group: name=colord, GID=497
<86>Apr 14 02:39:44 groupadd[103166]: group added to /etc/gshadow: name=colord
<86>Apr 14 02:39:44 groupadd[103166]: new group: name=colord, GID=497
<86>Apr 14 02:39:44 useradd[103174]: new user: name=colord, UID=498, GID=497, home=/var/colord, shell=/dev/null
<13>Apr 14 02:39:44 rpmi: colord-1.3.5-alt0.M80P.1 1488875506 installed
<13>Apr 14 02:39:44 rpmi: libjson-glib-1.2.8-alt0.M80P.1 1489956779 installed
<13>Apr 14 02:39:45 rpmi: libgtk+3-3.22.26-alt0.M80P.1 1510825302 installed
<13>Apr 14 02:39:45 rpmi: libgtk+3-gir-3.22.26-alt0.M80P.1 1510825302 installed
<13>Apr 14 02:39:45 rpmi: libp11-kit-trust-0.23.8-alt1.M80P.1 1504877563 installed
<13>Apr 14 02:39:45 rpmi: perl-XML-LibXML-2.0124-alt1 1458750523 installed
<13>Apr 14 02:39:45 rpmi: dbus-tools-1.10.24-alt4.M80P.1 1518773282 installed
<13>Apr 14 02:39:45 rpmi: python3-base-3.5.4-alt2.M80P.1 1527753911 installed
<13>Apr 14 02:39:45 rpmi: python3-3.5.4-alt2.M80P.1 1527753911 installed
<13>Apr 14 02:39:45 rpmi: python3-module-six-1.10.0-alt7 1496087616 installed
<13>Apr 14 02:39:45 rpmi: python3-module-sugarbowl-0.52.1-alt1.git20141130.1 1458039107 installed
<13>Apr 14 02:39:45 rpmi: avalon-framework-0:4.3-alt4_14jpp8 1454654439 installed
<13>Apr 14 02:39:45 rpmi: python3-module-cycler-0.10.0-alt1 1493854024 installed
<13>Apr 14 02:39:45 rpmi: python3-module-dateutil-2.4.2-alt1.git20150728.1.1 1458152500 installed
<13>Apr 14 02:39:45 rpmi: rpm-build-python3-0.1.10.10-alt1.M80P.1 1530521451 installed
<13>Apr 14 02:39:45 rpmi: python3-module-markupsafe-0.23-alt1.2.1 1459593526 installed
<13>Apr 14 02:39:45 rpmi: python3-module-pycares-0.6.3-alt1.1.1 1459598195 installed
<13>Apr 14 02:39:45 rpmi: python3-module-pycairo-1.13.3-alt0.M80P.1 1504561359 installed
<13>Apr 14 02:39:45 rpmi: python3-module-pygobject3-3.24.1-alt1.M80P.1 1504561842 installed
<13>Apr 14 02:39:45 rpmi: python3-module-py-1.4.34-alt0.M80P.1 1503506764 installed
<13>Apr 14 02:39:45 rpmi: python3-module-cssselect-0.9.1-alt1.1 1457858257 installed
<13>Apr 14 02:39:45 rpmi: python3-module-webencodings-0.5.1-alt0.M80P.1 1507185481 installed
<13>Apr 14 02:39:46 rpmi: python3-module-pyparsing-2.0.3-alt1.1 1458039018 installed
<13>Apr 14 02:39:46 rpmi: python3-module-certifi-2015.04.28-alt1.1 1457893771 installed
<13>Apr 14 02:39:46 rpmi: python3-module-z3c-3.0.0-alt2.a2.dev0.git20130313.1.1.1 1460417103 installed
<13>Apr 14 02:39:46 rpmi: python3-module-zc-1.0.0-alt6.2 1458024144 installed
<13>Apr 14 02:39:46 rpmi: avalon-logkit-0:2.1-alt2_22jpp8 1454475588 installed
<13>Apr 14 02:39:46 rpmi: python3-module-numpy-1:1.12.1-alt0.M80P.1 1496160663 installed
<13>Apr 14 02:39:46 rpmi: python3-module-zope-3.3.0-alt8.4 1458261152 installed
<13>Apr 14 02:39:46 rpmi: python3-module-lxml-4.0.0-alt0.M80P.1 1507163741 installed
<13>Apr 14 02:39:46 rpmi: python3-module-setuptools-1:18.5-alt0.M80P.1 1497527461 installed
<13>Apr 14 02:39:46 rpmi: python3-module-jinja2-2.9-alt1.dev.git20150726.1.1.1 1460400640 installed
<13>Apr 14 02:39:46 rpmi: python3-module-clyde-0.8.0-alt1.git20141130.1.1 1458152231 installed
<13>Apr 14 02:39:46 rpmi: python3-module-runfile-0.46.1-alt1.git20141130.1 1458039066 installed
<13>Apr 14 02:39:46 rpmi: objectweb-asm-0:5.0.3-alt1_2jpp8 1454661767 installed
<13>Apr 14 02:39:46 rpmi: sisu-inject-1:0.3.1-alt0.1jpp 1454104251 installed
<13>Apr 14 02:39:46 rpmi: xmvn-core-2.4.0-alt1_5jpp8 1454815430 installed
<13>Apr 14 02:39:46 rpmi: sisu-plexus-1:0.3.1-alt0.1jpp 1454104272 installed
<13>Apr 14 02:39:46 rpmi: maven-0:3.3.3-alt1_3jpp8 1455236844 installed
<13>Apr 14 02:39:46 rpmi: maven-archiver-0:2.6-alt1_2jpp8 1454339864 installed
<13>Apr 14 02:39:46 rpmi: maven-plugin-annotations-0:3.4-alt1_3jpp8 1454522180 installed
<13>Apr 14 02:39:46 rpmi: maven-plugin-tools-api-0:3.4-alt1_3jpp8 1454522180 installed
<13>Apr 14 02:39:46 rpmi: xmvn-connector-aether-2.4.0-alt1_5jpp8 1454815430 installed
<13>Apr 14 02:39:46 rpmi: maven-toolchain-1:2.2.1-alt6_52jpp8 1454801362 installed
<13>Apr 14 02:39:46 rpmi: xmvn-2.4.0-alt1_5jpp8 1454815430 installed
<13>Apr 14 02:39:46 rpmi: maven-plugin-tools-annotations-0:3.4-alt1_3jpp8 1454522180 installed
<13>Apr 14 02:39:46 rpmi: maven-plugin-tools-java-0:3.4-alt1_3jpp8 1454522180 installed
<13>Apr 14 02:39:46 rpmi: xmvn-mojo-2.4.0-alt1_5jpp8 1454815430 installed
<13>Apr 14 02:39:46 rpmi: maven-artifact-resolver-1:1.0-alt3_13jpp8 1454506642 installed
<13>Apr 14 02:39:46 rpmi: maven-shared-incremental-1.1-alt1_9jpp8 1454347174 installed
<13>Apr 14 02:39:46 rpmi: xmvn-install-2.4.0-alt1_5jpp8 1454815430 installed
<13>Apr 14 02:39:46 rpmi: xmvn-subst-2.4.0-alt1_5jpp8 1454815430 installed
<13>Apr 14 02:39:46 rpmi: xmvn-resolve-2.4.0-alt1_5jpp8 1454815430 installed
<13>Apr 14 02:39:46 rpmi: xml-commons-resolver-0:1.2-alt1_18jpp8 1454247583 installed
<13>Apr 14 02:39:47 rpmi: xerces-j2-0:2.11.0-alt3_23jpp8 1454354423 installed
<13>Apr 14 02:39:47 rpmi: ant-0:1.9.6-alt1_2jpp8 1454360411 installed
<13>Apr 14 02:39:47 rpmi: ant-junit-0:1.9.6-alt1_2jpp8 1454360411 installed
<13>Apr 14 02:39:47 rpmi: antlr-tool-0:2.7.7-alt12_37jpp8 1454542601 installed
<13>Apr 14 02:39:47 rpmi: ant-antlr-0:1.9.6-alt1_2jpp8 1454360411 installed
<13>Apr 14 02:39:47 rpmi: jtidy-3:1.0-alt3_0.21.20100930svn1125jpp8 1454337599 installed
<13>Apr 14 02:39:47 rpmi: apache-rat-core-0.11-alt1_2jpp8 1454376283 installed
<13>Apr 14 02:39:47 rpmi: python3-module-tornado-4.2.1-alt2.M80P.1 1496088637 installed
<13>Apr 14 02:39:47 rpmi: python3-module-numpy-testing-1:1.12.1-alt0.M80P.1 1496160663 installed
<13>Apr 14 02:39:47 rpmi: python3-module-zope.interface-4.1.3-alt1.dev0.git20150601.4 1459629874 installed
<13>Apr 14 02:39:47 rpmi: python3-module-html5lib-1:0.999999999-alt1.M80P.2 1507185603 installed
<13>Apr 14 02:39:47 rpmi: python3-module-pytest-3.2.1-alt0.M80P.1 1503499784 installed
<13>Apr 14 02:39:47 rpmi: python3-module-jinja2-tests-2.9-alt1.dev.git20150726.1.1.1 1460400640 installed
<13>Apr 14 02:39:47 rpmi: plexus-containers-container-default-0:1.6-alt2_4jpp8 1455215323 installed
<13>Apr 14 02:39:47 rpmi: maven-common-artifact-filters-1.4-alt5_16jpp8 1454340186 installed
<13>Apr 14 02:39:47 rpmi: maven-settings-1:2.2.1-alt6_52jpp8 1454801362 installed
<13>Apr 14 02:39:47 rpmi: maven-compiler-plugin-3.3-alt1_2jpp8 1454230047 installed
<13>Apr 14 02:39:47 rpmi: maven-artifact-manager-1:2.2.1-alt6_52jpp8 1454801362 installed
<13>Apr 14 02:39:47 rpmi: plexus-velocity-0:1.1.8-alt4_19jpp8 1454353155 installed
<13>Apr 14 02:39:47 rpmi: maven-file-management-1:1.2.1-alt3_12jpp8 1454341003 installed
<13>Apr 14 02:39:47 rpmi: maven-scm-0:1.9.4-alt1_3jpp8 1454346500 installed
<13>Apr 14 02:39:47 rpmi: plexus-i18n-0:1.0-alt7_0.7.b10.4jpp8 1454351331 installed
<13>Apr 14 02:39:47 rpmi: maven-doxia-logging-api-0:1.6-alt1_4jpp8 1455072776 installed
<13>Apr 14 02:39:47 rpmi: maven-doxia-sink-api-0:1.6-alt1_4jpp8 1455072776 installed
<13>Apr 14 02:39:47 rpmi: maven-doxia-core-0:1.6-alt1_4jpp8 1455072776 installed
<13>Apr 14 02:39:47 rpmi: maven-reporting-api-1:3.0-alt3_9jpp8 1454343575 installed
<13>Apr 14 02:39:48 rpmi: python3-module-matplotlib-2.0.0-alt3.M80P.1 1498628280 installed
<13>Apr 14 02:39:48 rpmi: python3-module-javapackages-1:4.6.0-alt9_12jpp8.1.1 1460387057 installed
<13>Apr 14 02:39:48 rpmi: jline-0:2.12.1-alt1_2jpp8 1455070118 installed
<13>Apr 14 02:39:48 rpmi: maven-shared-io-1:1.1-alt3_12jpp8 1454522828 installed
<13>Apr 14 02:39:48 rpmi: rhino-1:1.7.7-alt1_2jpp8 1454470166 installed
<13>Apr 14 02:39:48 rpmi: rpm-build-java-1:4.6.0-alt9_12jpp8.1.1 1460387057 installed
<13>Apr 14 02:39:48 rpmi: maven-plugin-tools-generators-0:3.4-alt1_3jpp8 1454522180 installed
<13>Apr 14 02:39:48 rpmi: maven-doxia-module-apt-0:1.6-alt1_4jpp8 1455072776 installed
<13>Apr 14 02:39:48 rpmi: maven-doxia-module-fml-0:1.6-alt1_4jpp8 1455072776 installed
<13>Apr 14 02:39:48 rpmi: maven-doxia-module-xdoc-0:1.6-alt1_4jpp8 1455072776 installed
<13>Apr 14 02:39:48 rpmi: maven-doxia-module-xhtml-0:1.6-alt1_4jpp8 1455072776 installed
<13>Apr 14 02:39:48 rpmi: maven-plugin-registry-1:2.2.1-alt6_52jpp8 1454801362 installed
<13>Apr 14 02:39:48 rpmi: maven-profile-1:2.2.1-alt6_52jpp8 1454801362 installed
<13>Apr 14 02:39:48 rpmi: maven-project-1:2.2.1-alt6_52jpp8 1454801362 installed
<13>Apr 14 02:39:48 rpmi: maven-jar-plugin-2.6-alt1_2jpp8 1454341688 installed
<13>Apr 14 02:39:48 rpmi: maven-filtering-1.3-alt1_2jpp8 1454341331 installed
<13>Apr 14 02:39:48 rpmi: maven-source-plugin-2.4-alt1_3jpp8 1454347762 installed
<13>Apr 14 02:39:48 rpmi: forge-parent-38-alt1_4jpp8 1454327221 installed
<13>Apr 14 02:39:48 rpmi: plexus-pom-3.3.3-alt1_2jpp8 1454352240 installed
<13>Apr 14 02:39:48 rpmi: maven-resources-plugin-2.7-alt1_3jpp8 1454345576 installed
<13>Apr 14 02:39:48 rpmi: maven-plugin-build-helper-1.9.1-alt1_2jpp8 1454342694 installed
<13>Apr 14 02:39:48 rpmi: maven-repository-builder-1:1.0-alt3_2jpp8 1454344909 installed
<13>Apr 14 02:39:48 rpmi: maven-assembly-plugin-2.5.5-alt1_3jpp8 1454332528 installed
<13>Apr 14 02:39:48 rpmi: maven-antrun-plugin-1.8-alt1_2jpp8 1454505910 installed
<13>Apr 14 02:39:48 rpmi: maven-enforcer-api-0:1.4-alt1_2jpp8 1454340499 installed
<13>Apr 14 02:39:48 rpmi: maven-enforcer-rules-0:1.4-alt1_2jpp8 1454340499 installed
<13>Apr 14 02:39:48 rpmi: maven-enforcer-plugin-0:1.4-alt1_2jpp8 1454340499 installed
<13>Apr 14 02:39:48 rpmi: mojo-parent-0:34-alt1_3jpp8 1454244873 installed
<13>Apr 14 02:39:48 rpmi: buildnumber-maven-plugin-1.3-alt1_4jpp8 1454329587 installed
<13>Apr 14 02:39:48 rpmi: jboss-parent-0:11-alt3_6jpp8 1454328607 installed
<13>Apr 14 02:39:48 rpmi: weld-parent-31-alt1_2jpp8 1454354116 installed
<13>Apr 14 02:39:48 rpmi: objectweb-pom-1.5-alt1_3jpp8 1454349287 installed
<13>Apr 14 02:39:48 rpmi: plexus-resources-0:1.0-alt7_0.19.a7jpp8 1454352528 installed
<13>Apr 14 02:39:48 rpmi: maven-remote-resources-plugin-1.4-alt3_10jpp8 1454344297 installed
<13>Apr 14 02:39:48 rpmi: apache-parent-17-alt1_2jpp8 1454325807 installed
<13>Apr 14 02:39:48 rpmi: maven-parent-26-alt1_2jpp8 1454342301 installed
<13>Apr 14 02:39:48 rpmi: httpcomponents-project-7-alt1_2jpp8 1454332812 installed
<13>Apr 14 02:39:48 rpmi: plexus-cli-0:1.6-alt1_2jpp8 1454350221 installed
<13>Apr 14 02:39:48 rpmi: plexus-containers-component-metadata-0:1.6-alt2_4jpp8 1455215323 installed
<13>Apr 14 02:39:48 rpmi: plexus-components-pom-1.3.1-alt1_5jpp8 1454350533 installed
<13>Apr 14 02:39:48 rpmi: maven-plugin-descriptor-1:2.2.1-alt6_52jpp8 1454801362 installed
<13>Apr 14 02:39:48 rpmi: maven-surefire-0:2.18.1-alt1_2jpp8 1454230478 installed
<13>Apr 14 02:39:48 rpmi: maven-surefire-plugin-0:2.18.1-alt1_2jpp8 1454230478 installed
<13>Apr 14 02:39:48 rpmi: maven-surefire-provider-junit-0:2.18.1-alt1_2jpp8 1454230478 installed
<13>Apr 14 02:39:48 rpmi: maven-surefire-provider-testng-0:2.18.1-alt1_2jpp8 1454230478 installed
<13>Apr 14 02:39:48 rpmi: python3-module-matplotlib-gtk3-2.0.0-alt3.M80P.1 1498628280 installed
<13>Apr 14 02:39:48 rpmi: python3-module-matplotlib-cairo-2.0.0-alt3.M80P.1 1498628280 installed
<13>Apr 14 02:39:48 rpmi: xbean-0:4.3-alt1_1jpp8 1454882296 installed
<13>Apr 14 02:39:49 rpmi: groovy-lib-0:2.4.4-alt1_1jpp8 1454968637 installed
<13>Apr 14 02:39:49 rpmi: jansi-0:1.11-alt1_9jpp8 1454795748 installed
<13>Apr 14 02:39:49 rpmi: fusesource-pom-0:1.9-alt1_10jpp8 1454231568 installed
<13>Apr 14 02:39:49 rpmi: jpackage-generic-compat-0.26-alt1 1454020463 installed
<13>Apr 14 02:39:49 rpmi: maven-doxia-sitetools-0:1.6-alt1_2jpp8 1454659344 installed
<13>Apr 14 02:39:49 rpmi: maven-reporting-impl-2.3-alt1_2jpp8 1454880355 installed
<13>Apr 14 02:39:49 rpmi: maven-plugin-bundle-2.5.4-alt1_1jpp8 1454521826 installed
<13>Apr 14 02:39:49 rpmi: maven-plugin-plugin-0:3.4-alt1_3jpp8 1454522180 installed
<13>Apr 14 02:39:49 rpmi: maven-plugins-pom-27-alt1_3jpp8 1454343000 installed
<13>Apr 14 02:39:49 rpmi: maven-javadoc-plugin-2.10.3-alt1_2jpp8 1454342005 installed
<13>Apr 14 02:39:49 rpmi: apache-rat-plugin-0.11-alt1_2jpp8 1454376283 installed
<13>Apr 14 02:39:49 rpmi: apache-commons-parent-0:38-alt1_1jpp8 1454499577 installed
<13>Apr 14 02:39:49 rpmi: maven-doxia-module-fo-0:1.6-alt1_4jpp8 1455072776 installed
<13>Apr 14 02:39:49 rpmi: fop-0:2.0-alt1_2jpp8 1454485741 installed
<13>Apr 14 02:39:49 rpmi: batik-0:1.8-alt2_2jpp8 1462454556 installed
<13>Apr 14 02:39:49 rpmi: geronimo-parent-poms-1.6-alt3_20jpp8 1454326968 installed
<13>Apr 14 02:39:49 rpmi: maven-local-1:4.6.0-alt9_12jpp8.1.1 1460387057 installed
<13>Apr 14 02:39:49 rpmi: javapackages-local-1:4.6.0-alt9_12jpp8.1.1 1460387057 installed
Installing opennlp-1.5.3-alt1_2jpp8.src.rpm
Building target platforms: x86_64
Building for target x86_64
Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.55462
+ umask 022
+ /bin/mkdir -p /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ cd /usr/src/RPM/BUILD
+ rm -rf apache-opennlp-1.5.3-src
+ echo 'Source #0 (apache-opennlp-1.5.3-src.tar.gz):'
Source #0 (apache-opennlp-1.5.3-src.tar.gz):
+ /bin/gzip -dc /usr/src/RPM/SOURCES/apache-opennlp-1.5.3-src.tar.gz
+ /bin/tar -xf -
+ cd apache-opennlp-1.5.3-src
+ /bin/chmod -c -Rf u+rwX,go-w .
+ find . -name '*.jar' -print -delete
+ find . -name '*.bat' -print -delete
./opennlp-distr/src/main/bin/opennlp.bat
./opennlp-tools/bin/opennlp.bat
+ find . -name '*.class' -print -delete
+ 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.11282
+ 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...
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Build Order:
[INFO]
[INFO] Apache OpenNLP Reactor
[INFO] Apache OpenNLP Maxent
[INFO] Apache OpenNLP Tools
[INFO] Apache OpenNLP UIMA Annotators
[INFO]
[INFO] ------------------------------------------------------------------------
[INFO] Building Apache OpenNLP Reactor 1.5.3
[INFO] ------------------------------------------------------------------------
[INFO]
[INFO] --- maven-remote-resources-plugin:1.4:process (default) @ opennlp ---
[INFO]
[INFO] ------------------------------------------------------------------------
[INFO] Building Apache OpenNLP Maxent 3.0.3
[INFO] ------------------------------------------------------------------------
[INFO]
[INFO] --- maven-remote-resources-plugin:1.4:process (default) @ opennlp-maxent ---
[INFO]
[INFO] --- maven-resources-plugin:2.7: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:3.3: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:2.7: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:3.3: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:2.18.1:test (default-test) @ opennlp-maxent ---
[INFO] Surefire report directory: /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-maxent/target/surefire-reports
-------------------------------------------------------
T E S T S
-------------------------------------------------------
Running opennlp.model.IndexHashTableTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.009 sec - in opennlp.model.IndexHashTableTest
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
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.477 sec - in opennlp.maxent.ScaleDoesntMatterTest
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
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.383 sec - in opennlp.maxent.RealValueModelTest
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.
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.011 sec - in opennlp.maxent.io.RealValueFileEventStreamTest
Running opennlp.maxent.quasinewton.LineSearchTest
Tests run: 8, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.033 sec - in opennlp.maxent.quasinewton.LineSearchTest
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.
Tests run: 8, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.055 sec - in opennlp.maxent.quasinewton.LogLikelihoodFunctionTest
Results :
Tests run: 21, Failures: 0, Errors: 0, Skipped: 0
[INFO]
[INFO] >>> maven-bundle-plugin:2.5.4:bundle (default-bundle) > package @ opennlp-maxent >>>
[INFO]
[INFO] --- maven-remote-resources-plugin:1.4:process (default) @ opennlp-maxent ---
[INFO]
[INFO] --- maven-resources-plugin:2.7: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:3.3:compile (default-compile) @ opennlp-maxent ---
[INFO] Nothing to compile - all classes are up to date
[INFO]
[INFO] --- maven-resources-plugin:2.7:testResources (default-testResources) @ opennlp-maxent ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] Copying 9 resources
[INFO] Copying 5 resources
[INFO] Copying 5 resources
[INFO]
[INFO] --- maven-compiler-plugin:3.3:testCompile (default-testCompile) @ opennlp-maxent ---
[INFO] Nothing to compile - all classes are up to date
[INFO]
[INFO] --- maven-surefire-plugin:2.18.1:test (default-test) @ opennlp-maxent ---
[INFO] Skipping execution of surefire because it has already been run for this configuration
[INFO]
[INFO] <<< maven-bundle-plugin:2.5.4:bundle (default-bundle) < package @ opennlp-maxent <<<
[INFO]
[INFO] --- maven-bundle-plugin:2.5.4:bundle (default-bundle) @ opennlp-maxent ---
Warning: org.apache.xerces.jaxp.SAXParserImpl$JAXPSAXParser: Property 'http://www.oracle.com/xml/jaxp/properties/entityExpansionLimit' is not recognized.
Compiler warnings:
WARNING: 'org.apache.xerces.jaxp.SAXParserImpl: Property 'http://javax.xml.XMLConstants/property/accessExternalDTD' is not recognized.'
Compiler warnings:
WARNING: 'org.apache.xerces.jaxp.SAXParserImpl: Property 'http://javax.xml.XMLConstants/property/accessExternalDTD' is not recognized.'
Compiler warnings:
WARNING: 'org.apache.xerces.jaxp.SAXParserImpl: Property 'http://javax.xml.XMLConstants/property/accessExternalDTD' is not recognized.'
[INFO]
[INFO] ------------------------------------------------------------------------
[INFO] Building Apache OpenNLP Tools 1.5.3
[INFO] ------------------------------------------------------------------------
[INFO]
[INFO] --- maven-remote-resources-plugin:1.4:process (default) @ opennlp-tools ---
[INFO]
[INFO] --- maven-resources-plugin:2.7: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:3.3: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
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[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:2.7: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:3.3: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
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[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
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[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
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[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
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[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
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[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
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[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:2.18.1:test (default-test) @ opennlp-tools ---
[INFO] Surefire report directory: /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/target/surefire-reports
-------------------------------------------------------
T E S T S
-------------------------------------------------------
Running opennlp.tools.stemmer.PorterStemmerTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 sec - in opennlp.tools.stemmer.PorterStemmerTest
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
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.56 sec - in opennlp.tools.doccat.DocumentCategorizerMETest
Running opennlp.tools.doccat.DocumentSampleTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 sec - in opennlp.tools.doccat.DocumentSampleTest
Running opennlp.tools.dictionary.DictionaryAsSetCaseSensitiveTest
Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 sec - in opennlp.tools.dictionary.DictionaryAsSetCaseSensitiveTest
Running opennlp.tools.dictionary.DictionaryTest
Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.134 sec - in opennlp.tools.dictionary.DictionaryTest
Running opennlp.tools.dictionary.DictionaryAsSetCaseInsensitiveTest
Tests run: 9, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.006 sec - in opennlp.tools.dictionary.DictionaryAsSetCaseInsensitiveTest
Running opennlp.tools.cmdline.TerminateToolExceptionTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.cmdline.TerminateToolExceptionTest
Running opennlp.tools.cmdline.ArgumentParserTest
Tests run: 11, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.104 sec - in opennlp.tools.cmdline.ArgumentParserTest
Running opennlp.tools.cmdline.CLITest
Tool unknown name is not found.
Missing mandatory parameter: -lang
Usage: opennlp DoccatTrainer[.leipzig] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
OpenNLP 1.5.3. Usage: opennlp TOOL
where TOOL is one of:
Doccat learnable document categorizer
DoccatTrainer trainer for the learnable document categorizer
DoccatConverter converts leipzig data format to native OpenNLP format
DictionaryBuilder builds a new dictionary
SimpleTokenizer character class tokenizer
TokenizerME learnable tokenizer
TokenizerTrainer trainer for the learnable tokenizer
TokenizerMEEvaluator evaluator for the learnable tokenizer
TokenizerCrossValidator K-fold cross validator for the learnable tokenizer
TokenizerConverter converts foreign data formats (ad,pos,conllx,namefinder,parse) to native OpenNLP format
DictionaryDetokenizer
SentenceDetector learnable sentence detector
SentenceDetectorTrainer trainer for the learnable sentence detector
SentenceDetectorEvaluator evaluator for the learnable sentence detector
SentenceDetectorCrossValidator K-fold cross validator for the learnable sentence detector
SentenceDetectorConverter converts foreign data formats (ad,pos,conllx,namefinder,parse) to native OpenNLP format
TokenNameFinder learnable name finder
TokenNameFinderTrainer trainer for the learnable name finder
TokenNameFinderEvaluator Measures the performance of the NameFinder model with the reference data
TokenNameFinderCrossValidator K-fold cross validator for the learnable Name Finder
TokenNameFinderConverter converts foreign data formats (ad,conll03,bionlp2004,conll02,muc6) to native OpenNLP format
CensusDictionaryCreator Converts 1990 US Census names into a dictionary
POSTagger learnable part of speech tagger
POSTaggerTrainer trains a model for the part-of-speech tagger
POSTaggerEvaluator Measures the performance of the POS tagger model with the reference data
POSTaggerCrossValidator K-fold cross validator for the learnable POS tagger
POSTaggerConverter converts foreign data formats (ad,conllx,parse) to native OpenNLP format
ChunkerME learnable chunker
ChunkerTrainerME trainer for the learnable chunker
ChunkerEvaluator Measures the performance of the Chunker model with the reference data
ChunkerCrossValidator K-fold cross validator for the chunker
ChunkerConverter converts ad data format to native OpenNLP format
Parser performs full syntactic parsing
ParserTrainer trains the learnable parser
ParserConverter converts frenchtreebank data format to native OpenNLP format
BuildModelUpdater trains and updates the build model in a parser model
CheckModelUpdater trains and updates the check model in a parser model
TaggerModelReplacer replaces the tagger model in a parser model
Coreferencer learnable noun phrase coreferencer
CoreferencerTrainer
CoreferenceConverter converts muc6full data format to native OpenNLP format
All tools print help when invoked with help parameter
Example: opennlp SimpleTokenizer help
The Document Categorizer model file does not exist! Path: /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-tools/unknown.model
Usage: opennlp Doccat model < documents
Usage: opennlp DoccatTrainer[.leipzig] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp DoccatConverter help|leipzig [help|options...]
Usage: opennlp DictionaryBuilder -inputFile in -outputFile out [-encoding charsetName]
Arguments description:
-inputFile in
Plain file with one entry per line
-outputFile out
The dictionary file.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp SimpleTokenizer < sentences
Usage: opennlp TokenizerME model < sentences
Usage: opennlp TokenizerTrainer[.ad|.pos|.conllx|.namefinder|.parse] [-alphaNumOpt isAlphaNumOpt] [-abbDict path] [-factory factoryName] [-iterations num] [-cutoff num] [-params paramsFile] -lang language -model modelFile -data sampleData [-encoding charsetName]
Arguments description:
-alphaNumOpt isAlphaNumOpt
Optimization flag to skip alpha numeric tokens for further tokenization
-abbDict path
abbreviation dictionary in XML format.
-factory factoryName
A sub-class of TokenizerFactory where to get implementation and resources.
-iterations num
number of training iterations, ignored if -params is used.
-cutoff num
minimal number of times a feature must be seen, ignored if -params is used.
-params paramsFile
training parameters file.
-lang language
language which is being processed.
-model modelFile
output model file.
-data sampleData
data to be used, usually a file name.
-encoding charsetName
encoding for reading and writing text, if absent the system default is used.
Usage: opennlp TokenizerMEEvaluator[.ad|.pos|.conllx|.namefinder|.parse] -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...]
Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.179 sec - in opennlp.tools.cmdline.CLITest
Running opennlp.tools.postag.POSEvaluatorTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 sec - in opennlp.tools.postag.POSEvaluatorTest
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:283)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeWithRerun(JUnit4Provider.java:173)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:128)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:203)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:155)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
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:283)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeWithRerun(JUnit4Provider.java:173)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:128)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:203)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:155)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
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:283)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeWithRerun(JUnit4Provider.java:173)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:128)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:203)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:155)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
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:283)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeWithRerun(JUnit4Provider.java:173)
at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:153)
at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:128)
at org.apache.maven.surefire.booter.ForkedBooter.invokeProviderInSameClassLoader(ForkedBooter.java:203)
at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:155)
at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:103)
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
Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.342 sec - in opennlp.tools.postag.POSTaggerFactoryTest
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
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 2.063 sec - in opennlp.tools.postag.POSModelTest
Running opennlp.tools.postag.POSSampleTest
Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.008 sec - in opennlp.tools.postag.POSSampleTest
Running opennlp.tools.postag.POSSampleEventStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 sec - in opennlp.tools.postag.POSSampleEventStreamTest
Running opennlp.tools.postag.POSDictionaryTest
Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.013 sec - in opennlp.tools.postag.POSDictionaryTest
Running opennlp.tools.postag.WordTagSampleStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.postag.WordTagSampleStreamTest
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
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 1.002 sec - in opennlp.tools.postag.POSTaggerMETest
Running opennlp.tools.util.SequenceTest
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.007 sec - in opennlp.tools.util.SequenceTest
Running opennlp.tools.util.eval.MeanTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 sec - in opennlp.tools.util.eval.MeanTest
Running opennlp.tools.util.eval.FMeasureTest
Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 sec - in opennlp.tools.util.eval.FMeasureTest
Running opennlp.tools.util.eval.CrossValidationPartitionerTest
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.008 sec - in opennlp.tools.util.eval.CrossValidationPartitionerTest
Running opennlp.tools.util.ext.ExtensionLoaderTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.util.ext.ExtensionLoaderTest
Running opennlp.tools.util.StringUtilTest
Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 sec - in opennlp.tools.util.StringUtilTest
Running opennlp.tools.util.StringListTest
Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.007 sec - in opennlp.tools.util.StringListTest
Running opennlp.tools.util.PlainTextByLineStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.util.PlainTextByLineStreamTest
Running opennlp.tools.util.VersionTest
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.004 sec - in opennlp.tools.util.VersionTest
Running opennlp.tools.util.SpanTest
Tests run: 23, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.021 sec - in opennlp.tools.util.SpanTest
Running opennlp.tools.util.BeamSearchTest
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.007 sec - in opennlp.tools.util.BeamSearchTest
Running opennlp.tools.util.ParagraphStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 sec - in opennlp.tools.util.ParagraphStreamTest
Running opennlp.tools.util.ListHeapTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 sec - in opennlp.tools.util.ListHeapTest
Running opennlp.tools.util.AbstractEventStreamTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.006 sec - in opennlp.tools.util.AbstractEventStreamTest
Running opennlp.tools.util.featuregen.StringPatternTest
Tests run: 12, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.008 sec - in opennlp.tools.util.featuregen.StringPatternTest
Running opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 sec - in opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorTest
Running opennlp.tools.util.featuregen.GeneratorFactoryTest
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.038 sec - in opennlp.tools.util.featuregen.GeneratorFactoryTest
Running opennlp.tools.util.featuregen.CachedFeatureGeneratorTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.util.featuregen.CachedFeatureGeneratorTest
Running opennlp.tools.util.featuregen.WindowFeatureGeneratorTest
Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 sec - in opennlp.tools.util.featuregen.WindowFeatureGeneratorTest
Running opennlp.tools.tokenize.DictionaryDetokenizerTest
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.009 sec - in opennlp.tools.tokenize.DictionaryDetokenizerTest
Running opennlp.tools.tokenize.DetokenizationDictionaryTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 sec - in opennlp.tools.tokenize.DetokenizationDictionaryTest
Running opennlp.tools.tokenize.TokenizerEvaluatorTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.006 sec - in opennlp.tools.tokenize.TokenizerEvaluatorTest
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
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.074 sec - in opennlp.tools.tokenize.TokenizerModelTest
Running opennlp.tools.tokenize.SimpleTokenizerTest
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 sec - in opennlp.tools.tokenize.SimpleTokenizerTest
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
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.398 sec - in opennlp.tools.tokenize.TokenizerMETest
Running opennlp.tools.tokenize.TokenizerFactoryTest
Indexing events using cutoff of 5
Computing event counts... done. 1675 events
Indexing... done.
Sorting and merging events... done. Reduced 1675 events to 1228.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1228
Number of Outcomes: 2
Number of Predicates: 532
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-1161.0215274378759 0.8525373134328358
2: ... loglikelihood=-503.24282968947676 0.9492537313432836
3: ... loglikelihood=-317.47325296690457 0.9779104477611941
4: ... loglikelihood=-231.72202727573432 0.9844776119402985
5: ... loglikelihood=-183.87240201866763 0.9856716417910448
6: ... loglikelihood=-154.0497444430961 0.9868656716417911
7: ... loglikelihood=-133.88909829989032 0.9868656716417911
8: ... loglikelihood=-119.37583070735005 0.9868656716417911
9: ... loglikelihood=-108.4044721515498 0.9868656716417911
10: ... loglikelihood=-99.79027816759168 0.9868656716417911
11: ... loglikelihood=-92.82512261452015 0.9874626865671642
12: ... loglikelihood=-87.06232141293606 0.9880597014925373
13: ... loglikelihood=-82.20613764127508 0.9886567164179104
14: ... loglikelihood=-78.05227994817453 0.9892537313432835
15: ... loglikelihood=-74.45445703529738 0.9898507462686568
16: ... loglikelihood=-71.30476374958427 0.9898507462686568
17: ... loglikelihood=-68.5216723424891 0.9898507462686568
18: ... loglikelihood=-66.0423632183962 0.9904477611940299
19: ... loglikelihood=-63.8176335743689 0.9916417910447761
20: ... loglikelihood=-61.80840253003911 0.9922388059701492
21: ... loglikelihood=-59.983244993533724 0.9928358208955224
22: ... loglikelihood=-58.31661207957724 0.9928358208955224
23: ... loglikelihood=-56.78752333642242 0.9928358208955224
24: ... loglikelihood=-55.378590991778445 0.9928358208955224
25: ... loglikelihood=-54.07528235484143 0.9928358208955224
26: ... loglikelihood=-52.86535574214958 0.9928358208955224
27: ... loglikelihood=-51.7384245174065 0.9928358208955224
28: ... loglikelihood=-50.685616819111345 0.9928358208955224
29: ... loglikelihood=-49.69930750858063 0.9928358208955224
30: ... loglikelihood=-48.77290515814365 0.9928358208955224
31: ... loglikelihood=-47.90068137255517 0.9928358208955224
32: ... loglikelihood=-47.077632956132085 0.9934328358208955
33: ... loglikelihood=-46.299369778540594 0.9934328358208955
34: ... loglikelihood=-45.562022909119754 0.9934328358208955
35: ... loglikelihood=-44.86216885998556 0.9934328358208955
36: ... loglikelihood=-44.1967667258123 0.9940298507462687
37: ... loglikelihood=-43.563105720729226 0.9940298507462687
38: ... loglikelihood=-42.95876115271653 0.9940298507462687
39: ... loglikelihood=-42.38155728814284 0.9940298507462687
40: ... loglikelihood=-41.82953587620043 0.9940298507462687
41: ... loglikelihood=-41.3009293486762 0.9940298507462687
42: ... loglikelihood=-40.79413790217873 0.9940298507462687
43: ... loglikelihood=-40.30770982049374 0.9940298507462687
44: ... loglikelihood=-39.840324513763406 0.9940298507462687
45: ... loglikelihood=-39.390777845862 0.9940298507462687
46: ... loglikelihood=-38.95796939710757 0.9940298507462687
47: ... loglikelihood=-38.54089137041345 0.9940298507462687
48: ... loglikelihood=-38.138618898322356 0.9940298507462687
49: ... loglikelihood=-37.75030154847892 0.9940298507462687
50: ... loglikelihood=-37.37515585788955 0.9940298507462687
51: ... loglikelihood=-37.012458753235 0.9940298507462687
52: ... loglikelihood=-36.661541736705956 0.9940298507462687
53: ... loglikelihood=-36.32178573521421 0.9940298507462687
54: ... loglikelihood=-35.99261652612235 0.9940298507462687
55: ... loglikelihood=-35.6735006653948 0.9940298507462687
56: ... loglikelihood=-35.36394185476084 0.9940298507462687
57: ... loglikelihood=-35.06347769346817 0.9940298507462687
58: ... loglikelihood=-34.771676767783106 0.9940298507462687
59: ... loglikelihood=-34.488136037807365 0.9940298507462687
60: ... loglikelihood=-34.21247848662308 0.9940298507462687
61: ... loglikelihood=-33.944351001411675 0.9940298507462687
62: ... loglikelihood=-33.68342246014602 0.9940298507462687
63: ... loglikelihood=-33.429382000840604 0.9940298507462687
64: ... loglikelihood=-33.181937453249475 0.9940298507462687
65: ... loglikelihood=-32.940813915400625 0.9940298507462687
66: ... loglikelihood=-32.7057524595113 0.9940298507462687
67: ... loglikelihood=-32.47650895369009 0.9940298507462687
68: ... loglikelihood=-32.2528529874494 0.9940298507462687
69: ... loglikelihood=-32.03456689044974 0.9940298507462687
70: ... loglikelihood=-31.821444835119664 0.9940298507462687
71: ... loglikelihood=-31.613292014858395 0.9940298507462687
72: ... loglikelihood=-31.409923890455854 0.9940298507462687
73: ... loglikelihood=-31.21116549818037 0.9940298507462687
74: ... loglikelihood=-31.016850813697214 0.9940298507462687
75: ... loglikelihood=-30.82682216660705 0.9940298507462687
76: ... loglikelihood=-30.640929700947346 0.9940298507462687
77: ... loglikelihood=-30.459030877484523 0.9940298507462687
78: ... loglikelihood=-30.280990014056307 0.9940298507462687
79: ... loglikelihood=-30.10667786060288 0.9940298507462687
80: ... loglikelihood=-29.93597120586369 0.9940298507462687
81: ... loglikelihood=-29.768752513015013 0.9940298507462687
82: ... loglikelihood=-29.604909581791194 0.9940298507462687
83: ... loglikelihood=-29.444335234867392 0.9940298507462687
84: ... loglikelihood=-29.286927026495075 0.9940298507462687
85: ... loglikelihood=-29.132586971568955 0.9940298507462687
86: ... loglikelihood=-28.981221293473205 0.9940298507462687
87: ... loglikelihood=-28.832740189207446 0.9940298507462687
88: ... loglikelihood=-28.687057610425914 0.9940298507462687
89: ... loglikelihood=-28.5440910591483 0.9946268656716418
90: ... loglikelihood=-28.40376139700841 0.9946268656716418
91: ... loglikelihood=-28.265992667005865 0.9946268656716418
92: ... loglikelihood=-28.130711926816026 0.9946268656716418
93: ... loglikelihood=-27.99784909279327 0.9946268656716418
94: ... loglikelihood=-27.86733679387479 0.9946268656716418
95: ... loglikelihood=-27.73911023466013 0.9946268656716418
96: ... loglikelihood=-27.613107066998566 0.9946268656716418
97: ... loglikelihood=-27.489267269473597 0.9946268656716418
98: ... loglikelihood=-27.36753303422073 0.9946268656716418
99: ... loglikelihood=-27.24784866056151 0.9946268656716418
100: ... loglikelihood=-27.13016045497599 0.9946268656716418
Indexing events using cutoff of 5
Computing event counts... done. 4934 events
Indexing... done.
Sorting and merging events... done. Reduced 4934 events to 2712.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 2712
Number of Outcomes: 2
Number of Predicates: 1109
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-3419.9881888827995 0.9499391974057559
2: ... loglikelihood=-920.8332500297338 0.953790028374544
3: ... loglikelihood=-512.9815750315131 0.9708147547628699
4: ... loglikelihood=-350.9753267511518 0.9870287798946088
5: ... loglikelihood=-264.24240822318416 0.9912849614916903
6: ... loglikelihood=-211.74941117469405 0.9939197405755978
7: ... loglikelihood=-177.30108548038527 0.9949331171463316
8: ... loglikelihood=-153.24711564921 0.9951357924604783
9: ... loglikelihood=-135.61213646575092 0.9953384677746251
10: ... loglikelihood=-122.17687076858105 0.9955411430887718
11: ... loglikelihood=-111.62556750489131 0.9957438184029185
12: ... loglikelihood=-103.13550986641282 0.9959464937170652
13: ... loglikelihood=-96.16702767372176 0.9959464937170652
14: ... loglikelihood=-90.35102414043841 0.9959464937170652
15: ... loglikelihood=-85.4262746239966 0.9959464937170652
16: ... loglikelihood=-81.20289871358781 0.996149169031212
17: ... loglikelihood=-77.53997699309832 0.996149169031212
18: ... loglikelihood=-74.33113521315069 0.996149169031212
19: ... loglikelihood=-71.49487640948581 0.9965545196595055
20: ... loglikelihood=-68.96790792319268 0.9967571949736522
21: ... loglikelihood=-66.70044305573565 0.9967571949736522
22: ... loglikelihood=-64.65284354318925 0.996959870287799
23: ... loglikelihood=-62.79318996944447 0.996959870287799
24: ... loglikelihood=-61.09550316898442 0.996959870287799
25: ... loglikelihood=-59.538427513584324 0.996959870287799
26: ... loglikelihood=-58.10424536104213 0.996959870287799
27: ... loglikelihood=-56.77813137911821 0.996959870287799
28: ... loglikelihood=-55.54758238774601 0.9971625456019457
29: ... loglikelihood=-54.40197692243487 0.9971625456019457
30: ... loglikelihood=-53.332231625156396 0.9971625456019457
31: ... loglikelihood=-52.330530617691366 0.9971625456019457
32: ... loglikelihood=-51.39011041278244 0.9973652209160924
33: ... loglikelihood=-50.505087484410666 0.9973652209160924
34: ... loglikelihood=-49.670318903529015 0.9973652209160924
35: ... loglikelihood=-48.881288828912716 0.9975678962302391
36: ... loglikelihood=-48.13401538638892 0.9975678962302391
37: ... loglikelihood=-47.42497375591464 0.9975678962302391
38: ... loglikelihood=-46.75103224262247 0.9975678962302391
39: ... loglikelihood=-46.10939882531816 0.9975678962302391
40: ... loglikelihood=-45.49757621824214 0.9975678962302391
41: ... loglikelihood=-44.913323895170045 0.9975678962302391
42: ... loglikelihood=-44.35462584232665 0.9975678962302391
43: ... loglikelihood=-43.81966305221881 0.9975678962302391
44: ... loglikelihood=-43.3067899620084 0.9975678962302391
45: ... loglikelihood=-42.81451419041762 0.9975678962302391
46: ... loglikelihood=-42.34147904606047 0.9975678962302391
47: ... loglikelihood=-41.88644837471763 0.9975678962302391
48: ... loglikelihood=-41.44829338884379 0.9975678962302391
49: ... loglikelihood=-41.02598118365439 0.9975678962302391
50: ... loglikelihood=-40.61856469358986 0.9975678962302391
51: ... loglikelihood=-40.22517388324471 0.9975678962302391
52: ... loglikelihood=-39.84500799983517 0.9975678962302391
53: ... loglikelihood=-39.477328741397635 0.9975678962302391
54: ... loglikelihood=-39.12145421733847 0.9975678962302391
55: ... loglikelihood=-38.77675359655308 0.9975678962302391
56: ... loglikelihood=-38.44264235383541 0.9977705715443859
57: ... loglikelihood=-38.118578038268325 0.9977705715443859
58: ... loglikelihood=-37.8040564981662 0.9977705715443859
59: ... loglikelihood=-37.49860850631641 0.9977705715443859
60: ... loglikelihood=-37.20179673701677 0.9977705715443859
61: ... loglikelihood=-36.91321305297594 0.9977705715443859
62: ... loglikelihood=-36.63247606573936 0.9977705715443859
63: ... loglikelihood=-36.35922893806469 0.9977705715443859
64: ... loglikelihood=-36.09313740075486 0.9977705715443859
65: ... loglikelihood=-35.83388795994803 0.9977705715443859
66: ... loglikelihood=-35.58118627387625 0.9977705715443859
67: ... loglikelihood=-35.334755680688964 0.9977705715443859
68: ... loglikelihood=-35.0943358611839 0.9977705715443859
69: ... loglikelihood=-34.85968162221708 0.9977705715443859
70: ... loglikelihood=-34.63056178825498 0.9977705715443859
71: ... loglikelihood=-34.40675818998554 0.9977705715443859
72: ... loglikelihood=-34.18806474018628 0.9977705715443859
73: ... loglikelihood=-33.974286588154655 0.9977705715443859
74: ... loglikelihood=-33.765239344983236 0.9977705715443859
75: ... loglikelihood=-33.56074837281386 0.9977705715443859
76: ... loglikelihood=-33.36064813195296 0.9977705715443859
77: ... loglikelihood=-33.164781580389935 0.9977705715443859
78: ... loglikelihood=-32.97299962084136 0.9977705715443859
79: ... loglikelihood=-32.785160590954504 0.9977705715443859
80: ... loglikelihood=-32.601129792757824 0.9977705715443859
81: ... loglikelihood=-32.420779057845635 0.9977705715443859
82: ... loglikelihood=-32.24398634514108 0.9977705715443859
83: ... loglikelihood=-32.070635368394896 0.9977705715443859
84: ... loglikelihood=-31.900615250861268 0.9977705715443859
85: ... loglikelihood=-31.733820204838935 0.9977705715443859
86: ... loglikelihood=-31.570149233989735 0.9977705715443859
87: ... loglikelihood=-31.409505856547632 0.9977705715443859
88: ... loglikelihood=-31.251797847705713 0.9977705715443859
89: ... loglikelihood=-31.09693699963201 0.9977705715443859
90: ... loglikelihood=-30.944838897703498 0.9977705715443859
91: ... loglikelihood=-30.795422711680747 0.9977705715443859
92: ... loglikelihood=-30.64861100065726 0.9977705715443859
93: ... loglikelihood=-30.50432953072188 0.9977705715443859
94: ... loglikelihood=-30.362507104367975 0.9977705715443859
95: ... loglikelihood=-30.223075400765307 0.9977705715443859
96: ... loglikelihood=-30.085968826087917 0.9977705715443859
97: ... loglikelihood=-29.951124373158027 0.9977705715443859
98: ... loglikelihood=-29.818481489732463 0.9977705715443859
99: ... loglikelihood=-29.687981954808215 0.9977705715443859
100: ... loglikelihood=-29.55956976238133 0.9977705715443859
Indexing events using cutoff of 5
Computing event counts... done. 1675 events
Indexing... done.
Sorting and merging events... done. Reduced 1675 events to 1228.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 1228
Number of Outcomes: 2
Number of Predicates: 532
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-1161.0215274378759 0.8525373134328358
2: ... loglikelihood=-503.24282968947676 0.9492537313432836
3: ... loglikelihood=-317.47325296690457 0.9779104477611941
4: ... loglikelihood=-231.72202727573432 0.9844776119402985
5: ... loglikelihood=-183.87240201866763 0.9856716417910448
6: ... loglikelihood=-154.0497444430961 0.9868656716417911
7: ... loglikelihood=-133.88909829989032 0.9868656716417911
8: ... loglikelihood=-119.37583070735005 0.9868656716417911
9: ... loglikelihood=-108.4044721515498 0.9868656716417911
10: ... loglikelihood=-99.79027816759168 0.9868656716417911
11: ... loglikelihood=-92.82512261452015 0.9874626865671642
12: ... loglikelihood=-87.06232141293606 0.9880597014925373
13: ... loglikelihood=-82.20613764127508 0.9886567164179104
14: ... loglikelihood=-78.05227994817453 0.9892537313432835
15: ... loglikelihood=-74.45445703529738 0.9898507462686568
16: ... loglikelihood=-71.30476374958427 0.9898507462686568
17: ... loglikelihood=-68.5216723424891 0.9898507462686568
18: ... loglikelihood=-66.0423632183962 0.9904477611940299
19: ... loglikelihood=-63.8176335743689 0.9916417910447761
20: ... loglikelihood=-61.80840253003911 0.9922388059701492
21: ... loglikelihood=-59.983244993533724 0.9928358208955224
22: ... loglikelihood=-58.31661207957724 0.9928358208955224
23: ... loglikelihood=-56.78752333642242 0.9928358208955224
24: ... loglikelihood=-55.378590991778445 0.9928358208955224
25: ... loglikelihood=-54.07528235484143 0.9928358208955224
26: ... loglikelihood=-52.86535574214958 0.9928358208955224
27: ... loglikelihood=-51.7384245174065 0.9928358208955224
28: ... loglikelihood=-50.685616819111345 0.9928358208955224
29: ... loglikelihood=-49.69930750858063 0.9928358208955224
30: ... loglikelihood=-48.77290515814365 0.9928358208955224
31: ... loglikelihood=-47.90068137255517 0.9928358208955224
32: ... loglikelihood=-47.077632956132085 0.9934328358208955
33: ... loglikelihood=-46.299369778540594 0.9934328358208955
34: ... loglikelihood=-45.562022909119754 0.9934328358208955
35: ... loglikelihood=-44.86216885998556 0.9934328358208955
36: ... loglikelihood=-44.1967667258123 0.9940298507462687
37: ... loglikelihood=-43.563105720729226 0.9940298507462687
38: ... loglikelihood=-42.95876115271653 0.9940298507462687
39: ... loglikelihood=-42.38155728814284 0.9940298507462687
40: ... loglikelihood=-41.82953587620043 0.9940298507462687
41: ... loglikelihood=-41.3009293486762 0.9940298507462687
42: ... loglikelihood=-40.79413790217873 0.9940298507462687
43: ... loglikelihood=-40.30770982049374 0.9940298507462687
44: ... loglikelihood=-39.840324513763406 0.9940298507462687
45: ... loglikelihood=-39.390777845862 0.9940298507462687
46: ... loglikelihood=-38.95796939710757 0.9940298507462687
47: ... loglikelihood=-38.54089137041345 0.9940298507462687
48: ... loglikelihood=-38.138618898322356 0.9940298507462687
49: ... loglikelihood=-37.75030154847892 0.9940298507462687
50: ... loglikelihood=-37.37515585788955 0.9940298507462687
51: ... loglikelihood=-37.012458753235 0.9940298507462687
52: ... loglikelihood=-36.661541736705956 0.9940298507462687
53: ... loglikelihood=-36.32178573521421 0.9940298507462687
54: ... loglikelihood=-35.99261652612235 0.9940298507462687
55: ... loglikelihood=-35.6735006653948 0.9940298507462687
56: ... loglikelihood=-35.36394185476084 0.9940298507462687
57: ... loglikelihood=-35.06347769346817 0.9940298507462687
58: ... loglikelihood=-34.771676767783106 0.9940298507462687
59: ... loglikelihood=-34.488136037807365 0.9940298507462687
60: ... loglikelihood=-34.21247848662308 0.9940298507462687
61: ... loglikelihood=-33.944351001411675 0.9940298507462687
62: ... loglikelihood=-33.68342246014602 0.9940298507462687
63: ... loglikelihood=-33.429382000840604 0.9940298507462687
64: ... loglikelihood=-33.181937453249475 0.9940298507462687
65: ... loglikelihood=-32.940813915400625 0.9940298507462687
66: ... loglikelihood=-32.7057524595113 0.9940298507462687
67: ... loglikelihood=-32.47650895369009 0.9940298507462687
68: ... loglikelihood=-32.2528529874494 0.9940298507462687
69: ... loglikelihood=-32.03456689044974 0.9940298507462687
70: ... loglikelihood=-31.821444835119664 0.9940298507462687
71: ... loglikelihood=-31.613292014858395 0.9940298507462687
72: ... loglikelihood=-31.409923890455854 0.9940298507462687
73: ... loglikelihood=-31.21116549818037 0.9940298507462687
74: ... loglikelihood=-31.016850813697214 0.9940298507462687
75: ... loglikelihood=-30.82682216660705 0.9940298507462687
76: ... loglikelihood=-30.640929700947346 0.9940298507462687
77: ... loglikelihood=-30.459030877484523 0.9940298507462687
78: ... loglikelihood=-30.280990014056307 0.9940298507462687
79: ... loglikelihood=-30.10667786060288 0.9940298507462687
80: ... loglikelihood=-29.93597120586369 0.9940298507462687
81: ... loglikelihood=-29.768752513015013 0.9940298507462687
82: ... loglikelihood=-29.604909581791194 0.9940298507462687
83: ... loglikelihood=-29.444335234867392 0.9940298507462687
84: ... loglikelihood=-29.286927026495075 0.9940298507462687
85: ... loglikelihood=-29.132586971568955 0.9940298507462687
86: ... loglikelihood=-28.981221293473205 0.9940298507462687
87: ... loglikelihood=-28.832740189207446 0.9940298507462687
88: ... loglikelihood=-28.687057610425914 0.9940298507462687
89: ... loglikelihood=-28.5440910591483 0.9946268656716418
90: ... loglikelihood=-28.40376139700841 0.9946268656716418
91: ... loglikelihood=-28.265992667005865 0.9946268656716418
92: ... loglikelihood=-28.130711926816026 0.9946268656716418
93: ... loglikelihood=-27.99784909279327 0.9946268656716418
94: ... loglikelihood=-27.86733679387479 0.9946268656716418
95: ... loglikelihood=-27.73911023466013 0.9946268656716418
96: ... loglikelihood=-27.613107066998566 0.9946268656716418
97: ... loglikelihood=-27.489267269473597 0.9946268656716418
98: ... loglikelihood=-27.36753303422073 0.9946268656716418
99: ... loglikelihood=-27.24784866056151 0.9946268656716418
100: ... loglikelihood=-27.13016045497599 0.9946268656716418
Indexing events using cutoff of 5
Computing event counts... done. 4934 events
Indexing... done.
Sorting and merging events... done. Reduced 4934 events to 2712.
Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 2712
Number of Outcomes: 2
Number of Predicates: 1109
...done.
Computing model parameters ...
Performing 100 iterations.
1: ... loglikelihood=-3419.9881888827995 0.9499391974057559
2: ... loglikelihood=-920.8332500297338 0.953790028374544
3: ... loglikelihood=-512.9815750315131 0.9708147547628699
4: ... loglikelihood=-350.9753267511518 0.9870287798946088
5: ... loglikelihood=-264.24240822318416 0.9912849614916903
6: ... loglikelihood=-211.74941117469405 0.9939197405755978
7: ... loglikelihood=-177.30108548038527 0.9949331171463316
8: ... loglikelihood=-153.24711564921 0.9951357924604783
9: ... loglikelihood=-135.61213646575092 0.9953384677746251
10: ... loglikelihood=-122.17687076858105 0.9955411430887718
11: ... loglikelihood=-111.62556750489131 0.9957438184029185
12: ... loglikelihood=-103.13550986641282 0.9959464937170652
13: ... loglikelihood=-96.16702767372176 0.9959464937170652
14: ... loglikelihood=-90.35102414043841 0.9959464937170652
15: ... loglikelihood=-85.4262746239966 0.9959464937170652
16: ... loglikelihood=-81.20289871358781 0.996149169031212
17: ... loglikelihood=-77.53997699309832 0.996149169031212
18: ... loglikelihood=-74.33113521315069 0.996149169031212
19: ... loglikelihood=-71.49487640948581 0.9965545196595055
20: ... loglikelihood=-68.96790792319268 0.9967571949736522
21: ... loglikelihood=-66.70044305573565 0.9967571949736522
22: ... loglikelihood=-64.65284354318925 0.996959870287799
23: ... loglikelihood=-62.79318996944447 0.996959870287799
24: ... loglikelihood=-61.09550316898442 0.996959870287799
25: ... loglikelihood=-59.538427513584324 0.996959870287799
26: ... loglikelihood=-58.10424536104213 0.996959870287799
27: ... loglikelihood=-56.77813137911821 0.996959870287799
28: ... loglikelihood=-55.54758238774601 0.9971625456019457
29: ... loglikelihood=-54.40197692243487 0.9971625456019457
30: ... loglikelihood=-53.332231625156396 0.9971625456019457
31: ... loglikelihood=-52.330530617691366 0.9971625456019457
32: ... loglikelihood=-51.39011041278244 0.9973652209160924
33: ... loglikelihood=-50.505087484410666 0.9973652209160924
34: ... loglikelihood=-49.670318903529015 0.9973652209160924
35: ... loglikelihood=-48.881288828912716 0.9975678962302391
36: ... loglikelihood=-48.13401538638892 0.9975678962302391
37: ... loglikelihood=-47.42497375591464 0.9975678962302391
38: ... loglikelihood=-46.75103224262247 0.9975678962302391
39: ... loglikelihood=-46.10939882531816 0.9975678962302391
40: ... loglikelihood=-45.49757621824214 0.9975678962302391
41: ... loglikelihood=-44.913323895170045 0.9975678962302391
42: ... loglikelihood=-44.35462584232665 0.9975678962302391
43: ... loglikelihood=-43.81966305221881 0.9975678962302391
44: ... loglikelihood=-43.3067899620084 0.9975678962302391
45: ... loglikelihood=-42.81451419041762 0.9975678962302391
46: ... loglikelihood=-42.34147904606047 0.9975678962302391
47: ... loglikelihood=-41.88644837471763 0.9975678962302391
48: ... loglikelihood=-41.44829338884379 0.9975678962302391
49: ... loglikelihood=-41.02598118365439 0.9975678962302391
50: ... loglikelihood=-40.61856469358986 0.9975678962302391
51: ... loglikelihood=-40.22517388324471 0.9975678962302391
52: ... loglikelihood=-39.84500799983517 0.9975678962302391
53: ... loglikelihood=-39.477328741397635 0.9975678962302391
54: ... loglikelihood=-39.12145421733847 0.9975678962302391
55: ... loglikelihood=-38.77675359655308 0.9975678962302391
56: ... loglikelihood=-38.44264235383541 0.9977705715443859
57: ... loglikelihood=-38.118578038268325 0.9977705715443859
58: ... loglikelihood=-37.8040564981662 0.9977705715443859
59: ... loglikelihood=-37.49860850631641 0.9977705715443859
60: ... loglikelihood=-37.20179673701677 0.9977705715443859
61: ... loglikelihood=-36.91321305297594 0.9977705715443859
62: ... loglikelihood=-36.63247606573936 0.9977705715443859
63: ... loglikelihood=-36.35922893806469 0.9977705715443859
64: ... loglikelihood=-36.09313740075486 0.9977705715443859
65: ... loglikelihood=-35.83388795994803 0.9977705715443859
66: ... loglikelihood=-35.58118627387625 0.9977705715443859
67: ... loglikelihood=-35.334755680688964 0.9977705715443859
68: ... loglikelihood=-35.0943358611839 0.9977705715443859
69: ... loglikelihood=-34.85968162221708 0.9977705715443859
70: ... loglikelihood=-34.63056178825498 0.9977705715443859
71: ... loglikelihood=-34.40675818998554 0.9977705715443859
72: ... loglikelihood=-34.18806474018628 0.9977705715443859
73: ... loglikelihood=-33.974286588154655 0.9977705715443859
74: ... loglikelihood=-33.765239344983236 0.9977705715443859
75: ... loglikelihood=-33.56074837281386 0.9977705715443859
76: ... loglikelihood=-33.36064813195296 0.9977705715443859
77: ... loglikelihood=-33.164781580389935 0.9977705715443859
78: ... loglikelihood=-32.97299962084136 0.9977705715443859
79: ... loglikelihood=-32.785160590954504 0.9977705715443859
80: ... loglikelihood=-32.601129792757824 0.9977705715443859
81: ... loglikelihood=-32.420779057845635 0.9977705715443859
82: ... loglikelihood=-32.24398634514108 0.9977705715443859
83: ... loglikelihood=-32.070635368394896 0.9977705715443859
84: ... loglikelihood=-31.900615250861268 0.9977705715443859
85: ... loglikelihood=-31.733820204838935 0.9977705715443859
86: ... loglikelihood=-31.570149233989735 0.9977705715443859
87: ... loglikelihood=-31.409505856547632 0.9977705715443859
88: ... loglikelihood=-31.251797847705713 0.9977705715443859
89: ... loglikelihood=-31.09693699963201 0.9977705715443859
90: ... loglikelihood=-30.944838897703498 0.9977705715443859
91: ... loglikelihood=-30.795422711680747 0.9977705715443859
92: ... loglikelihood=-30.64861100065726 0.9977705715443859
93: ... loglikelihood=-30.50432953072188 0.9977705715443859
94: ... loglikelihood=-30.362507104367975 0.9977705715443859
95: ... loglikelihood=-30.223075400765307 0.9977705715443859
96: ... loglikelihood=-30.085968826087917 0.9977705715443859
97: ... loglikelihood=-29.951124373158027 0.9977705715443859
98: ... loglikelihood=-29.818481489732463 0.9977705715443859
99: ... loglikelihood=-29.687981954808215 0.9977705715443859
100: ... loglikelihood=-29.55956976238133 0.9977705715443859
Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 1.772 sec - in opennlp.tools.tokenize.TokenizerFactoryTest
Running opennlp.tools.tokenize.TokSpanEventStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 sec - in opennlp.tools.tokenize.TokSpanEventStreamTest
Running opennlp.tools.tokenize.TokenSampleStreamTest
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.tokenize.TokenSampleStreamTest
Running opennlp.tools.tokenize.TokenSampleTest
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.tokenize.TokenSampleTest
Running opennlp.tools.tokenize.WhitespaceTokenizerTest
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 sec - in opennlp.tools.tokenize.WhitespaceTokenizerTest
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
Tests run: 5, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.211 sec - in opennlp.tools.sentdetect.SentenceDetectorFactoryTest
Running opennlp.tools.sentdetect.SentenceDetectorEvaluatorTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 sec - in opennlp.tools.sentdetect.SentenceDetectorEvaluatorTest
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.
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 sec - in opennlp.tools.sentdetect.SentenceDetectorMETest
Running opennlp.tools.sentdetect.SDEventStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.sentdetect.SDEventStreamTest
Running opennlp.tools.sentdetect.DefaultEndOfSentenceScannerTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.004 sec - in opennlp.tools.sentdetect.DefaultEndOfSentenceScannerTest
Running opennlp.tools.sentdetect.SentenceSampleTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.sentdetect.SentenceSampleTest
Running opennlp.tools.chunker.ChunkSampleStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.004 sec - in opennlp.tools.chunker.ChunkSampleStreamTest
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
Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.59 sec - in opennlp.tools.chunker.ChunkerMETest
Running opennlp.tools.chunker.ChunkerDetailedFMeasureListenerTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.011 sec - in opennlp.tools.chunker.ChunkerDetailedFMeasureListenerTest
Running opennlp.tools.chunker.ChunkerEvaluatorTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.003 sec - in opennlp.tools.chunker.ChunkerEvaluatorTest
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
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.083 sec - in opennlp.tools.chunker.ChunkerFactoryTest
Running opennlp.tools.chunker.ChunkSampleTest
Tests run: 13, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 sec - in opennlp.tools.chunker.ChunkSampleTest
Running opennlp.tools.namefind.RegexNameFinderTest
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 sec - in opennlp.tools.namefind.RegexNameFinderTest
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
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.898 sec - in opennlp.tools.namefind.TokenNameFinderCrossValidatorTest
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
Tests run: 7, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 1.204 sec - in opennlp.tools.namefind.NameFinderMETest
Running opennlp.tools.namefind.DictionaryNameFinderTest
Tests run: 7, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.004 sec - in opennlp.tools.namefind.DictionaryNameFinderTest
Running opennlp.tools.namefind.NameSampleTest
Tests run: 11, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 sec - in opennlp.tools.namefind.NameSampleTest
Running opennlp.tools.namefind.TokenNameFinderEvaluatorTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 sec - in opennlp.tools.namefind.TokenNameFinderEvaluatorTest
Running opennlp.tools.namefind.DictionaryNameFinderEvaluatorTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.013 sec - in opennlp.tools.namefind.DictionaryNameFinderEvaluatorTest
Running opennlp.tools.namefind.NameSampleDataStreamTest
Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.007 sec - in opennlp.tools.namefind.NameSampleDataStreamTest
Running opennlp.tools.namefind.NameFinderEventStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.004 sec - in opennlp.tools.namefind.NameFinderEventStreamTest
Running opennlp.tools.formats.NameFinderCensus90NameStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 sec - in opennlp.tools.formats.NameFinderCensus90NameStreamTest
Running opennlp.tools.formats.ConllXPOSSampleStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.formats.ConllXPOSSampleStreamTest
Running opennlp.tools.formats.LeipzigDoccatSampleStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.formats.LeipzigDoccatSampleStreamTest
Running opennlp.tools.formats.ad.ADTokenSampleStreamTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.025 sec - in opennlp.tools.formats.ad.ADTokenSampleStreamTest
Running opennlp.tools.formats.ad.ADParagraphStreamTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 sec - in opennlp.tools.formats.ad.ADParagraphStreamTest
Running opennlp.tools.formats.ad.ADSentenceSampleStreamTest
Inicia no próximo dia 6 de outubro o Porto Poesia 2 no Shopping Total Av. Cristovão Colombo, 545 -- Porto Alegre -- RS. Com relação à parceria com o shopping o organizador diz que: Até o momento, mais de 98 profissionais da área da cultura e poetas têm a presença confirmada, entre eles, Armindo Trevisan, Alcy Cheuiche, Donaldo Schüller, José Eduardo Degrazia, Lau Siqueira, Liana Timm, Luiz Coronel, Mário Pirata, Oliveira Silveira, Jane Tutikian, Paulo Custódio, entre outros.
Casas, galpão utilizado para os festejos e até mesmo a capela em que os Arturos celebram seus rituais religiosos tiveram telhas e vidros destruÃdos, num episódio sem precedentes na comunidade.
Em 9 fe agosto de 1831. Ivan do Maxixe ofereceu-me um café.
Contato:
Gonzagão e aquele outro Zé apelidado Jackson.
Inicia no próximo dia 6 de outubro o Porto Poesia 2 no Shopping Total Av. Cristovão Colombo, 545 -- Porto Alegre -- RS. Com relação à parceria com o shopping o organizador diz que: Até o momento, mais de 98 profissionais da área da cultura e poetas têm a presença confirmada, entre eles, Armindo Trevisan, Alcy Cheuiche, Donaldo Schüller, José Eduardo Degrazia, Lau Siqueira, Liana Timm, Luiz Coronel, Mário Pirata, Oliveira Silveira, Jane Tutikian, Paulo Custódio, entre outros.
Casas, galpão utilizado para os festejos e até mesmo a capela em que os Arturos celebram seus rituais religiosos tiveram telhas e vidros destruÃdos, num episódio sem precedentes na comunidade.
Em 9 fe agosto de 1831. Ivan do Maxixe ofereceu-me um café.
Contato:
Gonzagão e aquele outro Zé apelidado Jackson.
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.016 sec - in opennlp.tools.formats.ad.ADSentenceSampleStreamTest
Running opennlp.tools.formats.ad.ADChunkSampleStreamTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.013 sec - in opennlp.tools.formats.ad.ADChunkSampleStreamTest
Running opennlp.tools.formats.ad.ADNameSampleStreamTest
Tests run: 6, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.018 sec - in opennlp.tools.formats.ad.ADNameSampleStreamTest
Running opennlp.tools.formats.ad.ADPOSSampleStreamTest
Tests run: 3, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 sec - in opennlp.tools.formats.ad.ADPOSSampleStreamTest
Running opennlp.tools.formats.Conll02NameSampleStreamTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.formats.Conll02NameSampleStreamTest
Running opennlp.tools.formats.Conll03NameSampleStreamTest
Tests run: 4, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.formats.Conll03NameSampleStreamTest
Running opennlp.tools.formats.muc.DocumentSplitterStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.formats.muc.DocumentSplitterStreamTest
Running opennlp.tools.formats.muc.SgmlParserTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.formats.muc.SgmlParserTest
Running opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamTest
Tests run: 2, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.012 sec - in opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamTest
Running opennlp.tools.parser.PosSampleStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.001 sec - in opennlp.tools.parser.PosSampleStreamTest
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
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 22.075 sec - in opennlp.tools.parser.treeinsert.ParserTest
Running opennlp.tools.parser.lang.en.HeadRulesTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.002 sec - in opennlp.tools.parser.lang.en.HeadRulesTest
Running opennlp.tools.parser.ParseTest
Tests run: 8, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.005 sec - in opennlp.tools.parser.ParseTest
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
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 18.754 sec - in opennlp.tools.parser.chunking.ParserTest
Running opennlp.tools.parser.ChunkSampleStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.parser.ChunkSampleStreamTest
Running opennlp.tools.parser.ParseSampleStreamTest
Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0 sec - in opennlp.tools.parser.ParseSampleStreamTest
Results :
Tests run: 309, Failures: 0, Errors: 0, Skipped: 0
[INFO]
[INFO] >>> maven-bundle-plugin:2.5.4:bundle (default-bundle) > package @ opennlp-tools >>>
[INFO]
[INFO] --- maven-remote-resources-plugin:1.4:process (default) @ opennlp-tools ---
[INFO]
[INFO] --- maven-resources-plugin:2.7:resources (default-resources) @ opennlp-tools ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
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[INFO]
[INFO] --- maven-compiler-plugin:3.3: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
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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:2.7:testResources (default-testResources) @ opennlp-tools ---
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[INFO]
[INFO] --- maven-compiler-plugin:3.3:testCompile (default-testCompile) @ opennlp-tools ---
[INFO] Nothing to compile - all classes are up to date
[INFO]
[INFO] --- maven-surefire-plugin:2.18.1:test (default-test) @ opennlp-tools ---
[INFO] Skipping execution of surefire because it has already been run for this configuration
[INFO]
[INFO] <<< maven-bundle-plugin:2.5.4:bundle (default-bundle) < package @ opennlp-tools <<<
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[INFO] --- maven-bundle-plugin:2.5.4:bundle (default-bundle) @ opennlp-tools ---
Compiler warnings:
WARNING: 'org.apache.xerces.jaxp.SAXParserImpl: Property 'http://javax.xml.XMLConstants/property/accessExternalDTD' is not recognized.'
Compiler warnings:
WARNING: 'org.apache.xerces.jaxp.SAXParserImpl: Property 'http://javax.xml.XMLConstants/property/accessExternalDTD' is not recognized.'
Compiler warnings:
WARNING: 'org.apache.xerces.jaxp.SAXParserImpl: Property 'http://javax.xml.XMLConstants/property/accessExternalDTD' is not recognized.'
[WARNING] Bundle org.apache.opennlp:opennlp-tools:bundle:1.5.3 : Export opennlp.tools.formats, has 3, private references [opennlp.tools.cmdline, opennlp.tools.coref, opennlp.tools.cmdline.params],
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[WARNING] Bundle org.apache.opennlp:opennlp-tools:bundle:1.5.3 : Export opennlp.tools.lang.english, has 1, private references [opennlp.tools.coref],
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[INFO] Building Apache OpenNLP UIMA Annotators 1.5.3
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[INFO] --- maven-remote-resources-plugin:1.4:process (default) @ opennlp-uima ---
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[INFO] --- maven-resources-plugin:2.7:resources (default-resources) @ opennlp-uima ---
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] Copying 1 resource
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[INFO]
[INFO] --- maven-compiler-plugin:3.3: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
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[INFO] --- maven-compiler-plugin:3.3:testCompile (default-testCompile) @ opennlp-uima ---
[INFO] Changes detected - recompiling the module!
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[INFO] Building jar: /usr/src/RPM/BUILD/apache-opennlp-1.5.3-src/opennlp-uima/target/opennlp-uima-1.5.3.jar
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[INFO] Building Apache OpenNLP Reactor 1.5.3
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[INFO] --- xmvn-mojo:2.4.0:install (default-cli) @ opennlp ---
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[INFO] >>> maven-javadoc-plugin:2.10.3:aggregate (default-cli) > generate-sources @ opennlp >>>
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[INFO] <<< maven-javadoc-plugin:2.10.3:aggregate (default-cli) < generate-sources @ opennlp <<<
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[INFO] --- maven-javadoc-plugin:2.10.3:aggregate (default-cli) @ opennlp ---
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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:2.4.0:builddep (default-cli) @ opennlp ---
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO]
[INFO] Apache OpenNLP Reactor ............................. SUCCESS [ 14.256 s]
[INFO] Apache OpenNLP Maxent .............................. SUCCESS [ 10.200 s]
[INFO] Apache OpenNLP Tools ............................... SUCCESS [01:00 min]
[INFO] Apache OpenNLP UIMA Annotators ..................... SUCCESS [ 0.933 s]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 01:29 min
[INFO] Finished at: 2019-04-14T02:41:30+00:00
[INFO] Final Memory: 49M/2367M
[INFO] ------------------------------------------------------------------------
-----BEGIN MAVEN BUILD DEPENDENCIES-----
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MvcEAAA=
-----END MAVEN BUILD DEPENDENCIES-----
+ exit 0
Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.43502
+ 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
+ '[' -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)
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 .opt-?.pyc files
Hardlinking identical .pyc and .pyo files
Processing files: opennlp-1.5.3-alt1_2jpp8
Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.78553
+ 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 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.EAfyvE
find-provides: running scripts (alternatives,debuginfo,lib,maven,pam,perl,pkgconfig,python,python3,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.NaEgvQ
find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,pam,perl,pkgconfig,pkgconfiglib,python,python3,rpmlib,shebang,shell,static,symlinks)
[INFO maven.req] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp.xml']
[INFO maven.req] jpackage-utils
[INFO maven.req] from POM(s): mvn(org.apache:apache:pom:), mvn(org.apache.maven.plugins:maven-compiler-plugin)
++ /bin/sed -e '/^java-headless/d' -e '/^java-headless/d'
Provides: mvn(org.apache.opennlp:opennlp:pom:) = 1.5.3
Requires: jpackage-utils, mvn(org.apache.maven.plugins:maven-compiler-plugin), mvn(org.apache:apache:pom:)
Processing files: opennlp-tools-1.5.3-alt1_2jpp8
Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.66487
+ 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 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.iUZKW8
find-provides: running scripts (alternatives,debuginfo,lib,maven,pam,perl,pkgconfig,python,python3,shell)
[INFO maven.prov] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp-tools.xml']
[INFO maven.prov] mvn(org.apache.opennlp:opennlp-tools) = 1.5.3, mvn(org.apache.opennlp:opennlp-tools:pom:) = 1.5.3
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.pZuZlu
find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,pam,perl,pkgconfig,pkgconfiglib,python,python3,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, java-headless >= 1:1.6, mvn(net.sf.jwordnet:jwnl), jpackage-utils
++ /bin/sed -e '/^java-headless/d' -e '/^java-headless/d'
--- find-requires-deps 2019-04-14 02:41:38.383130239 +0000
+++ filter-requires-deps 2019-04-14 02:41:38.384130241 +0000
@@ -1,2 +1 @@
-java-headless >= 1:1.6
jpackage-utils
Provides: mvn(org.apache.opennlp:opennlp-tools) = 1.5.3, mvn(org.apache.opennlp:opennlp-tools:pom:) = 1.5.3
Requires: jpackage-utils, mvn(net.sf.jwordnet:jwnl), mvn(org.apache.opennlp:opennlp-maxent) = 3.0.3
Processing files: opennlp-maxent-1.5.3-alt1_2jpp8
Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.74349
+ 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 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.49x0YS
find-provides: running scripts (alternatives,debuginfo,lib,maven,pam,perl,pkgconfig,python,python3,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
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.Vo6Pxk
find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,pam,perl,pkgconfig,pkgconfiglib,python,python3,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] java-headless >= 1:1.6, jpackage-utils
++ /bin/sed -e '/^java-headless/d' -e '/^java-headless/d'
--- find-requires-deps 2019-04-14 02:41:40.820134878 +0000
+++ filter-requires-deps 2019-04-14 02:41:40.822134882 +0000
@@ -1,2 +1 @@
-java-headless >= 1:1.6
jpackage-utils
Provides: mvn(org.apache.opennlp:opennlp-maxent) = 3.0.3, mvn(org.apache.opennlp:opennlp-maxent:pom:) = 3.0.3
Requires: jpackage-utils
Processing files: opennlp-uima-1.5.3-alt1_2jpp8
Finding Provides (using /usr/lib/rpm/find-provides)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.y4ft9O
find-provides: running scripts (alternatives,debuginfo,lib,maven,pam,perl,pkgconfig,python,python3,shell)
[INFO maven.prov] input: ['/usr/src/tmp/opennlp-buildroot/usr/share/maven-metadata/opennlp-opennlp-uima.xml']
[INFO maven.prov] mvn(org.apache.opennlp:opennlp-uima) = 1.5.3, mvn(org.apache.opennlp:opennlp-uima:pom:) = 1.5.3
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.dfDyWm
find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,pam,perl,pkgconfig,pkgconfiglib,python,python3,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, jpackage-utils, java-headless >= 1:1.6
++ /bin/sed -e '/^java-headless/d' -e '/^java-headless/d'
--- find-requires-deps 2019-04-14 02:41:43.096139210 +0000
+++ filter-requires-deps 2019-04-14 02:41:43.097139212 +0000
@@ -1,2 +1 @@
-java-headless >= 1:1.6
jpackage-utils
Provides: mvn(org.apache.opennlp:opennlp-uima) = 1.5.3, mvn(org.apache.opennlp:opennlp-uima:pom:) = 1.5.3
Requires: jpackage-utils, mvn(org.apache.opennlp:opennlp-tools) = 1.5.3
Processing files: opennlp-javadoc-1.5.3-alt1_2jpp8
Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.74714
+ 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 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.MofpcY
find-provides: running scripts (alternatives,debuginfo,lib,maven,pam,perl,pkgconfig,python,python3,shell)
Finding Requires (using /usr/lib/rpm/find-requires)
Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.lcorzF
find-requires: running scripts (cpp,debuginfo,files,javadoc,lib,maven,pam,perl,pkgconfig,pkgconfiglib,python,python3,rpmlib,shebang,shell,static,symlinks)
++ /bin/sed -e '/^java-headless/d' -e '/^java-headless/d'
Requires: jpackage-utils
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_2jpp8.noarch.rpm
Wrote: /usr/src/RPM/RPMS/noarch/opennlp-tools-1.5.3-alt1_2jpp8.noarch.rpm
Wrote: /usr/src/RPM/RPMS/noarch/opennlp-maxent-1.5.3-alt1_2jpp8.noarch.rpm
Wrote: /usr/src/RPM/RPMS/noarch/opennlp-uima-1.5.3-alt1_2jpp8.noarch.rpm
Wrote: /usr/src/RPM/RPMS/noarch/opennlp-javadoc-1.5.3-alt1_2jpp8.noarch.rpm
138.33user 3.32system 1:54.81elapsed 123%CPU (0avgtext+0avgdata 928796maxresident)k
0inputs+0outputs (0major+553727minor)pagefaults 0swaps
162.05user 7.47system 2:34.46elapsed 109%CPU (0avgtext+0avgdata 928796maxresident)k
352inputs+0outputs (0major+1330331minor)pagefaults 0swaps