0s autopkgtest [01:46:25]: starting date and time: 2025-03-16 01:46:25+0000 0s autopkgtest [01:46:25]: git checkout: 325255d2 Merge branch 'pin-any-arch' into 'ubuntu/production' 0s autopkgtest [01:46:25]: host juju-7f2275-prod-proposed-migration-environment-20; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.53cs5fpj/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:scikit-learn --apt-upgrade xgboost --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=scikit-learn/1.4.2+dfsg-8 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest-s390x --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-20@bos03-s390x-19.secgroup --name adt-plucky-s390x-xgboost-20250316-014625-juju-7f2275-prod-proposed-migration-environment-20-3d7a0363-7802-4052-a8e7-5f3a5c035118 --image adt/ubuntu-plucky-s390x-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-20 --net-id=net_prod-proposed-migration-s390x -e TERM=linux -e ''"'"'http_proxy=http://squid.internal:3128'"'"'' -e ''"'"'https_proxy=http://squid.internal:3128'"'"'' -e ''"'"'no_proxy=127.0.0.1,127.0.1.1,login.ubuntu.com,localhost,localdomain,novalocal,internal,archive.ubuntu.com,ports.ubuntu.com,security.ubuntu.com,ddebs.ubuntu.com,changelogs.ubuntu.com,keyserver.ubuntu.com,launchpadlibrarian.net,launchpadcontent.net,launchpad.net,10.24.0.0/24,keystone.ps5.canonical.com,objectstorage.prodstack5.canonical.com,radosgw.ps5.canonical.com'"'"'' --mirror=http://ftpmaster.internal/ubuntu/ 98s autopkgtest [01:48:03]: testbed dpkg architecture: s390x 98s autopkgtest [01:48:03]: testbed apt version: 2.9.33 99s autopkgtest [01:48:04]: @@@@@@@@@@@@@@@@@@@@ test bed setup 99s autopkgtest [01:48:04]: testbed release detected to be: None 99s autopkgtest [01:48:04]: updating testbed package index (apt update) 100s Get:1 http://ftpmaster.internal/ubuntu plucky-proposed InRelease [126 kB] 100s Hit:2 http://ftpmaster.internal/ubuntu plucky InRelease 100s Hit:3 http://ftpmaster.internal/ubuntu plucky-updates InRelease 100s Hit:4 http://ftpmaster.internal/ubuntu plucky-security InRelease 100s Get:5 http://ftpmaster.internal/ubuntu plucky-proposed/universe Sources [365 kB] 100s Get:6 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse Sources [17.7 kB] 100s Get:7 http://ftpmaster.internal/ubuntu plucky-proposed/main Sources [41.4 kB] 100s Get:8 http://ftpmaster.internal/ubuntu plucky-proposed/main s390x Packages [75.4 kB] 100s Get:9 http://ftpmaster.internal/ubuntu plucky-proposed/main s390x c-n-f Metadata [1784 B] 100s Get:10 http://ftpmaster.internal/ubuntu plucky-proposed/restricted s390x c-n-f Metadata [116 B] 100s Get:11 http://ftpmaster.internal/ubuntu plucky-proposed/universe s390x Packages [294 kB] 101s Get:12 http://ftpmaster.internal/ubuntu plucky-proposed/universe s390x c-n-f Metadata [12.3 kB] 101s Get:13 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse s390x Packages [4956 B] 101s Get:14 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse s390x c-n-f Metadata [240 B] 101s Fetched 940 kB in 1s (883 kB/s) 101s Reading package lists... 102s Reading package lists... 102s Building dependency tree... 102s Reading state information... 102s Calculating upgrade... 102s Calculating upgrade... 102s The following packages were automatically installed and are no longer required: 102s libnsl2 libpython3.12-minimal libpython3.12-stdlib libpython3.12t64 102s linux-headers-6.11.0-8 linux-headers-6.11.0-8-generic 102s linux-modules-6.11.0-8-generic linux-tools-6.11.0-8 102s linux-tools-6.11.0-8-generic 102s Use 'sudo apt autoremove' to remove them. 102s The following packages will be upgraded: 102s pinentry-curses python3-jinja2 strace 102s 3 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 102s Need to get 652 kB of archives. 102s After this operation, 27.6 kB of additional disk space will be used. 102s Get:1 http://ftpmaster.internal/ubuntu plucky/main s390x strace s390x 6.13+ds-1ubuntu1 [500 kB] 103s Get:2 http://ftpmaster.internal/ubuntu plucky/main s390x pinentry-curses s390x 1.3.1-2ubuntu3 [42.9 kB] 103s Get:3 http://ftpmaster.internal/ubuntu plucky/main s390x python3-jinja2 all 3.1.5-2ubuntu1 [109 kB] 103s Fetched 652 kB in 1s (883 kB/s) 103s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 81428 files and directories currently installed.) 103s Preparing to unpack .../strace_6.13+ds-1ubuntu1_s390x.deb ... 103s Unpacking strace (6.13+ds-1ubuntu1) over (6.11-0ubuntu1) ... 103s Preparing to unpack .../pinentry-curses_1.3.1-2ubuntu3_s390x.deb ... 103s Unpacking pinentry-curses (1.3.1-2ubuntu3) over (1.3.1-2ubuntu2) ... 103s Preparing to unpack .../python3-jinja2_3.1.5-2ubuntu1_all.deb ... 103s Unpacking python3-jinja2 (3.1.5-2ubuntu1) over (3.1.5-2) ... 103s Setting up pinentry-curses (1.3.1-2ubuntu3) ... 103s Setting up python3-jinja2 (3.1.5-2ubuntu1) ... 104s Setting up strace (6.13+ds-1ubuntu1) ... 104s Processing triggers for man-db (2.13.0-1) ... 104s Reading package lists... 104s Building dependency tree... 104s Reading state information... 104s Solving dependencies... 104s The following packages will be REMOVED: 104s libnsl2* libpython3.12-minimal* libpython3.12-stdlib* libpython3.12t64* 104s linux-headers-6.11.0-8* linux-headers-6.11.0-8-generic* 104s linux-modules-6.11.0-8-generic* linux-tools-6.11.0-8* 104s linux-tools-6.11.0-8-generic* 105s 0 upgraded, 0 newly installed, 9 to remove and 0 not upgraded. 105s After this operation, 167 MB disk space will be freed. 105s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 81428 files and directories currently installed.) 105s Removing linux-tools-6.11.0-8-generic (6.11.0-8.8) ... 105s Removing linux-tools-6.11.0-8 (6.11.0-8.8) ... 105s Removing libpython3.12t64:s390x (3.12.9-1) ... 105s Removing libpython3.12-stdlib:s390x (3.12.9-1) ... 105s Removing libnsl2:s390x (1.3.0-3build3) ... 105s Removing libpython3.12-minimal:s390x (3.12.9-1) ... 105s Removing linux-headers-6.11.0-8-generic (6.11.0-8.8) ... 105s Removing linux-headers-6.11.0-8 (6.11.0-8.8) ... 106s Removing linux-modules-6.11.0-8-generic (6.11.0-8.8) ... 106s Processing triggers for libc-bin (2.41-1ubuntu1) ... 106s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 56328 files and directories currently installed.) 106s Purging configuration files for libpython3.12-minimal:s390x (3.12.9-1) ... 106s Purging configuration files for linux-modules-6.11.0-8-generic (6.11.0-8.8) ... 106s autopkgtest [01:48:11]: upgrading testbed (apt dist-upgrade and autopurge) 106s Reading package lists... 106s Building dependency tree... 106s Reading state information... 106s Calculating upgrade...Starting pkgProblemResolver with broken count: 0 106s Starting 2 pkgProblemResolver with broken count: 0 106s Done 107s Entering ResolveByKeep 107s 107s Calculating upgrade... 107s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 107s Reading package lists... 107s Building dependency tree... 107s Reading state information... 107s Starting pkgProblemResolver with broken count: 0 107s Starting 2 pkgProblemResolver with broken count: 0 107s Done 107s Solving dependencies... 107s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 108s autopkgtest [01:48:13]: rebooting testbed after setup commands that affected boot 125s autopkgtest [01:48:30]: testbed running kernel: Linux 6.14.0-10-generic #10-Ubuntu SMP Wed Mar 12 14:53:49 UTC 2025 127s autopkgtest [01:48:32]: @@@@@@@@@@@@@@@@@@@@ apt-source xgboost 130s Get:1 http://ftpmaster.internal/ubuntu plucky/universe xgboost 2.1.4-1build1 (dsc) [2340 B] 130s Get:2 http://ftpmaster.internal/ubuntu plucky/universe xgboost 2.1.4-1build1 (tar) [2138 kB] 130s Get:3 http://ftpmaster.internal/ubuntu plucky/universe xgboost 2.1.4-1build1 (diff) [23.2 kB] 130s gpgv: Signature made Wed Mar 5 01:20:21 2025 UTC 130s gpgv: using RSA key 25E3FF2D7F469DBE7D0D4E50AFCFEC8E669CE1C2 130s gpgv: Can't check signature: No public key 130s dpkg-source: warning: cannot verify inline signature for ./xgboost_2.1.4-1build1.dsc: no acceptable signature found 131s autopkgtest [01:48:36]: testing package xgboost version 2.1.4-1build1 131s autopkgtest [01:48:36]: build not needed 132s autopkgtest [01:48:37]: test run-demos: preparing testbed 132s Reading package lists... 132s Building dependency tree... 132s Reading state information... 133s Starting pkgProblemResolver with broken count: 0 133s Starting 2 pkgProblemResolver with broken count: 0 133s Done 133s The following NEW packages will be installed: 133s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3 133s libdeflate0 libdmlc0t64 libfontconfig1 libfreetype6 libgfortran5 libgomp1 133s libgraphite2-3 libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 133s libjs-jquery libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 libopenjp2-7 133s libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 libwebp7 133s libwebpdemux2 libwebpmux3 libxft2 libxgboost-dev libxgboost0 libxrender1 133s libxslt1.1 libxss1 python-matplotlib-data python3-brotli python3-contourpy 133s python3-cycler python3-dateutil python3-decorator python3-fonttools 133s python3-fs python3-joblib python3-kiwisolver python3-lxml python3-lz4 133s python3-matplotlib python3-mpmath python3-numpy python3-numpy-dev 133s python3-packaging python3-pandas python3-pandas-lib python3-pil 133s python3-pil.imagetk python3-platformdirs python3-pytz python3-scipy 133s python3-sklearn python3-sklearn-lib python3-sympy python3-threadpoolctl 133s python3-tk python3-tz python3-ufolib2 python3-unicodedata2 python3-xgboost 133s python3.12-tk python3.13-tk tk8.6-blt2.5 unicode-data x11-common 133s 0 upgraded, 77 newly installed, 0 to remove and 0 not upgraded. 133s Need to get 89.9 MB of archives. 133s After this operation, 374 MB of additional disk space will be used. 133s Get:1 http://ftpmaster.internal/ubuntu plucky/main s390x python3-numpy-dev s390x 1:2.2.3+ds-5 [147 kB] 134s Get:2 http://ftpmaster.internal/ubuntu plucky/main s390x libblas3 s390x 3.12.1-2 [252 kB] 134s Get:3 http://ftpmaster.internal/ubuntu plucky/main s390x libgfortran5 s390x 15-20250222-0ubuntu1 [620 kB] 134s Get:4 http://ftpmaster.internal/ubuntu plucky/main s390x liblapack3 s390x 3.12.1-2 [2971 kB] 134s Get:5 http://ftpmaster.internal/ubuntu plucky/main s390x python3-numpy s390x 1:2.2.3+ds-5 [4396 kB] 135s Get:6 http://ftpmaster.internal/ubuntu plucky/main s390x libtcl8.6 s390x 8.6.16+dfsg-1 [1034 kB] 135s Get:7 http://ftpmaster.internal/ubuntu plucky/main s390x libfreetype6 s390x 2.13.3+dfsg-1 [431 kB] 135s Get:8 http://ftpmaster.internal/ubuntu plucky/main s390x fonts-dejavu-mono all 2.37-8 [502 kB] 135s Get:9 http://ftpmaster.internal/ubuntu plucky/main s390x fonts-dejavu-core all 2.37-8 [835 kB] 135s Get:10 http://ftpmaster.internal/ubuntu plucky/main s390x fontconfig-config s390x 2.15.0-2ubuntu1 [37.5 kB] 135s Get:11 http://ftpmaster.internal/ubuntu plucky/main s390x libfontconfig1 s390x 2.15.0-2ubuntu1 [150 kB] 135s Get:12 http://ftpmaster.internal/ubuntu plucky/main s390x libxrender1 s390x 1:0.9.10-1.1build1 [20.4 kB] 135s Get:13 http://ftpmaster.internal/ubuntu plucky/main s390x libxft2 s390x 2.3.6-1build1 [49.6 kB] 135s Get:14 http://ftpmaster.internal/ubuntu plucky/main s390x x11-common all 1:7.7+23ubuntu3 [21.7 kB] 135s Get:15 http://ftpmaster.internal/ubuntu plucky/main s390x libxss1 s390x 1:1.2.3-1build3 [7396 B] 135s Get:16 http://ftpmaster.internal/ubuntu plucky/main s390x libtk8.6 s390x 8.6.16-1 [830 kB] 135s Get:17 http://ftpmaster.internal/ubuntu plucky/main s390x tk8.6-blt2.5 s390x 2.5.3+dfsg-8 [657 kB] 135s Get:18 http://ftpmaster.internal/ubuntu plucky/main s390x blt s390x 2.5.3+dfsg-8 [4826 B] 135s Get:19 http://ftpmaster.internal/ubuntu plucky/universe s390x fonts-lyx all 2.4.3-1 [171 kB] 135s Get:20 http://ftpmaster.internal/ubuntu plucky/main s390x libdeflate0 s390x 1.23-1 [46.1 kB] 135s Get:21 http://ftpmaster.internal/ubuntu plucky/main s390x libgomp1 s390x 15-20250222-0ubuntu1 [152 kB] 135s Get:22 http://ftpmaster.internal/ubuntu plucky/universe s390x libdmlc0t64 s390x 0.5+git20240614.1334185-1 [195 kB] 135s Get:23 http://ftpmaster.internal/ubuntu plucky/main s390x libgraphite2-3 s390x 1.3.14-2ubuntu1 [79.8 kB] 135s Get:24 http://ftpmaster.internal/ubuntu plucky/main s390x libharfbuzz0b s390x 10.2.0-1 [538 kB] 135s Get:25 http://ftpmaster.internal/ubuntu plucky/main s390x libimagequant0 s390x 2.18.0-1build1 [43.3 kB] 135s Get:26 http://ftpmaster.internal/ubuntu plucky/main s390x libjpeg-turbo8 s390x 2.1.5-3ubuntu2 [147 kB] 135s Get:27 http://ftpmaster.internal/ubuntu plucky/main s390x libjpeg8 s390x 8c-2ubuntu11 [2146 B] 135s Get:28 http://ftpmaster.internal/ubuntu plucky/main s390x libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB] 136s Get:29 http://ftpmaster.internal/ubuntu plucky/universe s390x libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB] 136s Get:30 http://ftpmaster.internal/ubuntu plucky/universe s390x liblbfgsb0 s390x 3.0+dfsg.4-1build1 [32.4 kB] 136s Get:31 http://ftpmaster.internal/ubuntu plucky/main s390x liblcms2-2 s390x 2.16-2 [175 kB] 136s Get:32 http://ftpmaster.internal/ubuntu plucky/universe s390x libqhull-r8.0 s390x 2020.2-6build1 [199 kB] 136s Get:33 http://ftpmaster.internal/ubuntu plucky/main s390x libraqm0 s390x 0.10.2-1 [15.8 kB] 136s Get:34 http://ftpmaster.internal/ubuntu plucky/main s390x libsharpyuv0 s390x 1.5.0-0.1 [16.7 kB] 136s Get:35 http://ftpmaster.internal/ubuntu plucky/main s390x libjbig0 s390x 2.1-6.1ubuntu2 [33.1 kB] 136s Get:36 http://ftpmaster.internal/ubuntu plucky/main s390x libwebp7 s390x 1.5.0-0.1 [210 kB] 136s Get:37 http://ftpmaster.internal/ubuntu plucky/main s390x libtiff6 s390x 4.5.1+git230720-4ubuntu4 [217 kB] 136s Get:38 http://ftpmaster.internal/ubuntu plucky/main s390x libwebpdemux2 s390x 1.5.0-0.1 [12.6 kB] 136s Get:39 http://ftpmaster.internal/ubuntu plucky/main s390x libwebpmux3 s390x 1.5.0-0.1 [25.8 kB] 136s Get:40 http://ftpmaster.internal/ubuntu plucky/universe s390x libxgboost0 s390x 2.1.4-1build1 [1816 kB] 136s Get:41 http://ftpmaster.internal/ubuntu plucky/universe s390x libxgboost-dev s390x 2.1.4-1build1 [74.3 kB] 136s Get:42 http://ftpmaster.internal/ubuntu plucky/main s390x libxslt1.1 s390x 1.1.39-0exp1ubuntu2 [169 kB] 136s Get:43 http://ftpmaster.internal/ubuntu plucky/universe s390x python-matplotlib-data all 3.8.3-7build1 [2934 kB] 136s Get:44 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-brotli s390x 1.1.0-2build4 [380 kB] 136s Get:45 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-contourpy s390x 1.3.1-1build1 [197 kB] 136s Get:46 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-cycler all 0.12.1-1 [9716 B] 136s Get:47 http://ftpmaster.internal/ubuntu plucky/main s390x python3-dateutil all 2.9.0-3 [80.2 kB] 136s Get:48 http://ftpmaster.internal/ubuntu plucky/main s390x python3-decorator all 5.1.1-5 [10.1 kB] 136s Get:49 http://ftpmaster.internal/ubuntu plucky/main s390x python3-platformdirs all 4.3.6-1 [16.8 kB] 136s Get:50 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-fs all 2.4.16-7 [90.8 kB] 136s Get:51 http://ftpmaster.internal/ubuntu plucky/main s390x python3-lxml s390x 5.3.1-1build1 [1370 kB] 136s Get:52 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-lz4 s390x 4.4.0+dfsg-1build1 [26.6 kB] 136s Get:53 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-scipy s390x 1.14.1-4ubuntu2 [18.0 MB] 137s Get:54 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-mpmath all 1.3.0-1 [425 kB] 137s Get:55 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-sympy all 1.13.3-5 [4229 kB] 137s Get:56 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-ufolib2 all 0.17.0+dfsg1-1 [33.5 kB] 137s Get:57 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-unicodedata2 s390x 15.1.0+ds-1build3 [361 kB] 137s Get:58 http://ftpmaster.internal/ubuntu plucky/universe s390x unicode-data all 15.1.0-1 [8878 kB] 137s Get:59 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-fonttools s390x 4.55.3-2build1 [1496 kB] 137s Get:60 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-joblib all 1.4.2-3 [205 kB] 137s Get:61 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-kiwisolver s390x 1.4.7-3build1 [55.0 kB] 137s Get:62 http://ftpmaster.internal/ubuntu plucky/main s390x libopenjp2-7 s390x 2.5.3-2 [207 kB] 137s Get:63 http://ftpmaster.internal/ubuntu plucky/main s390x python3-pil s390x 11.1.0-5build1 [498 kB] 137s Get:64 http://ftpmaster.internal/ubuntu plucky/main s390x python3.12-tk s390x 3.12.9-1 [117 kB] 137s Get:65 http://ftpmaster.internal/ubuntu plucky/main s390x python3.13-tk s390x 3.13.2-2 [108 kB] 137s Get:66 http://ftpmaster.internal/ubuntu plucky/main s390x python3-tk s390x 3.13.1-1 [9770 B] 137s Get:67 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-pil.imagetk s390x 11.1.0-5build1 [9668 B] 137s Get:68 http://ftpmaster.internal/ubuntu plucky/main s390x python3-packaging all 24.2-1 [51.5 kB] 137s Get:69 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-matplotlib s390x 3.8.3-7build1 [17.3 MB] 138s Get:70 http://ftpmaster.internal/ubuntu plucky/main s390x python3-pytz all 2025.1-3 [162 kB] 138s Get:71 http://ftpmaster.internal/ubuntu plucky/main s390x python3-tz all 2025.1-3 [1866 B] 138s Get:72 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-pandas-lib s390x 2.2.3+dfsg-8build1 [4995 kB] 138s Get:73 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-pandas all 2.2.3+dfsg-8build1 [3112 kB] 138s Get:74 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-threadpoolctl all 3.1.0-1 [21.3 kB] 138s Get:75 http://ftpmaster.internal/ubuntu plucky-proposed/universe s390x python3-sklearn-lib s390x 1.4.2+dfsg-8 [4262 kB] 138s Get:76 http://ftpmaster.internal/ubuntu plucky-proposed/universe s390x python3-sklearn all 1.4.2+dfsg-8 [2258 kB] 139s Get:77 http://ftpmaster.internal/ubuntu plucky/universe s390x python3-xgboost s390x 2.1.4-1build1 [119 kB] 139s Fetched 89.9 MB in 6s (15.6 MB/s) 139s Selecting previously unselected package python3-numpy-dev:s390x. 139s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 56326 files and directories currently installed.) 139s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.3+ds-5_s390x.deb ... 139s Unpacking python3-numpy-dev:s390x (1:2.2.3+ds-5) ... 139s Selecting previously unselected package libblas3:s390x. 139s Preparing to unpack .../01-libblas3_3.12.1-2_s390x.deb ... 139s Unpacking libblas3:s390x (3.12.1-2) ... 139s Selecting previously unselected package libgfortran5:s390x. 139s Preparing to unpack .../02-libgfortran5_15-20250222-0ubuntu1_s390x.deb ... 139s Unpacking libgfortran5:s390x (15-20250222-0ubuntu1) ... 139s Selecting previously unselected package liblapack3:s390x. 139s Preparing to unpack .../03-liblapack3_3.12.1-2_s390x.deb ... 139s Unpacking liblapack3:s390x (3.12.1-2) ... 139s Selecting previously unselected package python3-numpy. 139s Preparing to unpack .../04-python3-numpy_1%3a2.2.3+ds-5_s390x.deb ... 139s Unpacking python3-numpy (1:2.2.3+ds-5) ... 139s Selecting previously unselected package libtcl8.6:s390x. 139s Preparing to unpack .../05-libtcl8.6_8.6.16+dfsg-1_s390x.deb ... 139s Unpacking libtcl8.6:s390x (8.6.16+dfsg-1) ... 139s Selecting previously unselected package libfreetype6:s390x. 139s Preparing to unpack .../06-libfreetype6_2.13.3+dfsg-1_s390x.deb ... 139s Unpacking libfreetype6:s390x (2.13.3+dfsg-1) ... 139s Selecting previously unselected package fonts-dejavu-mono. 139s Preparing to unpack .../07-fonts-dejavu-mono_2.37-8_all.deb ... 139s Unpacking fonts-dejavu-mono (2.37-8) ... 139s Selecting previously unselected package fonts-dejavu-core. 139s Preparing to unpack .../08-fonts-dejavu-core_2.37-8_all.deb ... 139s Unpacking fonts-dejavu-core (2.37-8) ... 139s Selecting previously unselected package fontconfig-config. 139s Preparing to unpack .../09-fontconfig-config_2.15.0-2ubuntu1_s390x.deb ... 139s Unpacking fontconfig-config (2.15.0-2ubuntu1) ... 139s Selecting previously unselected package libfontconfig1:s390x. 139s Preparing to unpack .../10-libfontconfig1_2.15.0-2ubuntu1_s390x.deb ... 139s Unpacking libfontconfig1:s390x (2.15.0-2ubuntu1) ... 139s Selecting previously unselected package libxrender1:s390x. 139s Preparing to unpack .../11-libxrender1_1%3a0.9.10-1.1build1_s390x.deb ... 139s Unpacking libxrender1:s390x (1:0.9.10-1.1build1) ... 139s Selecting previously unselected package libxft2:s390x. 139s Preparing to unpack .../12-libxft2_2.3.6-1build1_s390x.deb ... 139s Unpacking libxft2:s390x (2.3.6-1build1) ... 139s Selecting previously unselected package x11-common. 139s Preparing to unpack .../13-x11-common_1%3a7.7+23ubuntu3_all.deb ... 139s Unpacking x11-common (1:7.7+23ubuntu3) ... 139s Selecting previously unselected package libxss1:s390x. 139s Preparing to unpack .../14-libxss1_1%3a1.2.3-1build3_s390x.deb ... 139s Unpacking libxss1:s390x (1:1.2.3-1build3) ... 139s Selecting previously unselected package libtk8.6:s390x. 139s Preparing to unpack .../15-libtk8.6_8.6.16-1_s390x.deb ... 139s Unpacking libtk8.6:s390x (8.6.16-1) ... 139s Selecting previously unselected package tk8.6-blt2.5. 139s Preparing to unpack .../16-tk8.6-blt2.5_2.5.3+dfsg-8_s390x.deb ... 139s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-8) ... 139s Selecting previously unselected package blt. 139s Preparing to unpack .../17-blt_2.5.3+dfsg-8_s390x.deb ... 139s Unpacking blt (2.5.3+dfsg-8) ... 139s Selecting previously unselected package fonts-lyx. 139s Preparing to unpack .../18-fonts-lyx_2.4.3-1_all.deb ... 139s Unpacking fonts-lyx (2.4.3-1) ... 139s Selecting previously unselected package libdeflate0:s390x. 139s Preparing to unpack .../19-libdeflate0_1.23-1_s390x.deb ... 139s Unpacking libdeflate0:s390x (1.23-1) ... 139s Selecting previously unselected package libgomp1:s390x. 140s Preparing to unpack .../20-libgomp1_15-20250222-0ubuntu1_s390x.deb ... 140s Unpacking libgomp1:s390x (15-20250222-0ubuntu1) ... 140s Selecting previously unselected package libdmlc0t64:s390x. 140s Preparing to unpack .../21-libdmlc0t64_0.5+git20240614.1334185-1_s390x.deb ... 140s Unpacking libdmlc0t64:s390x (0.5+git20240614.1334185-1) ... 140s Selecting previously unselected package libgraphite2-3:s390x. 140s Preparing to unpack .../22-libgraphite2-3_1.3.14-2ubuntu1_s390x.deb ... 140s Unpacking libgraphite2-3:s390x (1.3.14-2ubuntu1) ... 140s Selecting previously unselected package libharfbuzz0b:s390x. 140s Preparing to unpack .../23-libharfbuzz0b_10.2.0-1_s390x.deb ... 140s Unpacking libharfbuzz0b:s390x (10.2.0-1) ... 140s Selecting previously unselected package libimagequant0:s390x. 140s Preparing to unpack .../24-libimagequant0_2.18.0-1build1_s390x.deb ... 140s Unpacking libimagequant0:s390x (2.18.0-1build1) ... 140s Selecting previously unselected package libjpeg-turbo8:s390x. 140s Preparing to unpack .../25-libjpeg-turbo8_2.1.5-3ubuntu2_s390x.deb ... 140s Unpacking libjpeg-turbo8:s390x (2.1.5-3ubuntu2) ... 140s Selecting previously unselected package libjpeg8:s390x. 140s Preparing to unpack .../26-libjpeg8_8c-2ubuntu11_s390x.deb ... 140s Unpacking libjpeg8:s390x (8c-2ubuntu11) ... 140s Selecting previously unselected package libjs-jquery. 140s Preparing to unpack .../27-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ... 140s Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 140s Selecting previously unselected package libjs-jquery-ui. 140s Preparing to unpack .../28-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ... 140s Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ... 140s Selecting previously unselected package liblbfgsb0:s390x. 140s Preparing to unpack .../29-liblbfgsb0_3.0+dfsg.4-1build1_s390x.deb ... 140s Unpacking liblbfgsb0:s390x (3.0+dfsg.4-1build1) ... 140s Selecting previously unselected package liblcms2-2:s390x. 140s Preparing to unpack .../30-liblcms2-2_2.16-2_s390x.deb ... 140s Unpacking liblcms2-2:s390x (2.16-2) ... 140s Selecting previously unselected package libqhull-r8.0:s390x. 140s Preparing to unpack .../31-libqhull-r8.0_2020.2-6build1_s390x.deb ... 140s Unpacking libqhull-r8.0:s390x (2020.2-6build1) ... 140s Selecting previously unselected package libraqm0:s390x. 140s Preparing to unpack .../32-libraqm0_0.10.2-1_s390x.deb ... 140s Unpacking libraqm0:s390x (0.10.2-1) ... 140s Selecting previously unselected package libsharpyuv0:s390x. 140s Preparing to unpack .../33-libsharpyuv0_1.5.0-0.1_s390x.deb ... 140s Unpacking libsharpyuv0:s390x (1.5.0-0.1) ... 140s Selecting previously unselected package libjbig0:s390x. 140s Preparing to unpack .../34-libjbig0_2.1-6.1ubuntu2_s390x.deb ... 140s Unpacking libjbig0:s390x (2.1-6.1ubuntu2) ... 140s Selecting previously unselected package libwebp7:s390x. 140s Preparing to unpack .../35-libwebp7_1.5.0-0.1_s390x.deb ... 140s Unpacking libwebp7:s390x (1.5.0-0.1) ... 140s Selecting previously unselected package libtiff6:s390x. 140s Preparing to unpack .../36-libtiff6_4.5.1+git230720-4ubuntu4_s390x.deb ... 140s Unpacking libtiff6:s390x (4.5.1+git230720-4ubuntu4) ... 140s Selecting previously unselected package libwebpdemux2:s390x. 140s Preparing to unpack .../37-libwebpdemux2_1.5.0-0.1_s390x.deb ... 140s Unpacking libwebpdemux2:s390x (1.5.0-0.1) ... 140s Selecting previously unselected package libwebpmux3:s390x. 140s Preparing to unpack .../38-libwebpmux3_1.5.0-0.1_s390x.deb ... 140s Unpacking libwebpmux3:s390x (1.5.0-0.1) ... 140s Selecting previously unselected package libxgboost0. 140s Preparing to unpack .../39-libxgboost0_2.1.4-1build1_s390x.deb ... 140s Unpacking libxgboost0 (2.1.4-1build1) ... 140s Selecting previously unselected package libxgboost-dev. 140s Preparing to unpack .../40-libxgboost-dev_2.1.4-1build1_s390x.deb ... 140s Unpacking libxgboost-dev (2.1.4-1build1) ... 140s Selecting previously unselected package libxslt1.1:s390x. 140s Preparing to unpack .../41-libxslt1.1_1.1.39-0exp1ubuntu2_s390x.deb ... 140s Unpacking libxslt1.1:s390x (1.1.39-0exp1ubuntu2) ... 140s Selecting previously unselected package python-matplotlib-data. 140s Preparing to unpack .../42-python-matplotlib-data_3.8.3-7build1_all.deb ... 140s Unpacking python-matplotlib-data (3.8.3-7build1) ... 140s Selecting previously unselected package python3-brotli. 140s Preparing to unpack .../43-python3-brotli_1.1.0-2build4_s390x.deb ... 140s Unpacking python3-brotli (1.1.0-2build4) ... 140s Selecting previously unselected package python3-contourpy. 140s Preparing to unpack .../44-python3-contourpy_1.3.1-1build1_s390x.deb ... 140s Unpacking python3-contourpy (1.3.1-1build1) ... 140s Selecting previously unselected package python3-cycler. 140s Preparing to unpack .../45-python3-cycler_0.12.1-1_all.deb ... 140s Unpacking python3-cycler (0.12.1-1) ... 140s Selecting previously unselected package python3-dateutil. 140s Preparing to unpack .../46-python3-dateutil_2.9.0-3_all.deb ... 140s Unpacking python3-dateutil (2.9.0-3) ... 140s Selecting previously unselected package python3-decorator. 140s Preparing to unpack .../47-python3-decorator_5.1.1-5_all.deb ... 140s Unpacking python3-decorator (5.1.1-5) ... 140s Selecting previously unselected package python3-platformdirs. 140s Preparing to unpack .../48-python3-platformdirs_4.3.6-1_all.deb ... 140s Unpacking python3-platformdirs (4.3.6-1) ... 140s Selecting previously unselected package python3-fs. 140s Preparing to unpack .../49-python3-fs_2.4.16-7_all.deb ... 140s Unpacking python3-fs (2.4.16-7) ... 140s Selecting previously unselected package python3-lxml:s390x. 140s Preparing to unpack .../50-python3-lxml_5.3.1-1build1_s390x.deb ... 140s Unpacking python3-lxml:s390x (5.3.1-1build1) ... 140s Selecting previously unselected package python3-lz4. 140s Preparing to unpack .../51-python3-lz4_4.4.0+dfsg-1build1_s390x.deb ... 140s Unpacking python3-lz4 (4.4.0+dfsg-1build1) ... 140s Selecting previously unselected package python3-scipy. 140s Preparing to unpack .../52-python3-scipy_1.14.1-4ubuntu2_s390x.deb ... 140s Unpacking python3-scipy (1.14.1-4ubuntu2) ... 140s Selecting previously unselected package python3-mpmath. 140s Preparing to unpack .../53-python3-mpmath_1.3.0-1_all.deb ... 140s Unpacking python3-mpmath (1.3.0-1) ... 140s Selecting previously unselected package python3-sympy. 140s Preparing to unpack .../54-python3-sympy_1.13.3-5_all.deb ... 140s Unpacking python3-sympy (1.13.3-5) ... 140s Selecting previously unselected package python3-ufolib2. 140s Preparing to unpack .../55-python3-ufolib2_0.17.0+dfsg1-1_all.deb ... 140s Unpacking python3-ufolib2 (0.17.0+dfsg1-1) ... 140s Selecting previously unselected package python3-unicodedata2. 140s Preparing to unpack .../56-python3-unicodedata2_15.1.0+ds-1build3_s390x.deb ... 140s Unpacking python3-unicodedata2 (15.1.0+ds-1build3) ... 140s Selecting previously unselected package unicode-data. 140s Preparing to unpack .../57-unicode-data_15.1.0-1_all.deb ... 140s Unpacking unicode-data (15.1.0-1) ... 141s Selecting previously unselected package python3-fonttools. 141s Preparing to unpack .../58-python3-fonttools_4.55.3-2build1_s390x.deb ... 141s Unpacking python3-fonttools (4.55.3-2build1) ... 141s Selecting previously unselected package python3-joblib. 141s Preparing to unpack .../59-python3-joblib_1.4.2-3_all.deb ... 141s Unpacking python3-joblib (1.4.2-3) ... 141s Selecting previously unselected package python3-kiwisolver. 141s Preparing to unpack .../60-python3-kiwisolver_1.4.7-3build1_s390x.deb ... 141s Unpacking python3-kiwisolver (1.4.7-3build1) ... 141s Selecting previously unselected package libopenjp2-7:s390x. 141s Preparing to unpack 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up liblcms2-2:s390x (2.16-2) ... 142s Setting up libsharpyuv0:s390x (1.5.0-0.1) ... 142s Setting up libxrender1:s390x (1:0.9.10-1.1build1) ... 142s Setting up python3-joblib (1.4.2-3) ... 142s Setting up python3-lz4 (4.4.0+dfsg-1build1) ... 142s Setting up python3-unicodedata2 (15.1.0+ds-1build3) ... 142s Setting up fonts-lyx (2.4.3-1) ... 142s Setting up python3-threadpoolctl (3.1.0-1) ... 142s Setting up x11-common (1:7.7+23ubuntu3) ... 142s Setting up libdeflate0:s390x (1.23-1) ... 142s Setting up libqhull-r8.0:s390x (2020.2-6build1) ... 142s Setting up python3-pytz (2025.1-3) ... 142s Setting up libgomp1:s390x (15-20250222-0ubuntu1) ... 142s Setting up libjbig0:s390x (2.1-6.1ubuntu2) ... 142s Setting up python3-platformdirs (4.3.6-1) ... 142s Setting up python3-tz (2025.1-3) ... 142s Setting up python3-fs (2.4.16-7) ... 142s Setting up unicode-data (15.1.0-1) ... 142s Setting up python3-decorator (5.1.1-5) ... 142s Setting up libblas3:s390x (3.12.1-2) ... 142s update-alternatives: using /usr/lib/s390x-linux-gnu/blas/libblas.so.3 to provide /usr/lib/s390x-linux-gnu/libblas.so.3 (libblas.so.3-s390x-linux-gnu) in auto mode 142s Setting up python3-packaging (24.2-1) ... 143s Setting up libfreetype6:s390x (2.13.3+dfsg-1) ... 143s Setting up python3-brotli (1.1.0-2build4) ... 143s Setting up python3-cycler (0.12.1-1) ... 143s Setting up libimagequant0:s390x (2.18.0-1build1) ... 143s Setting up fonts-dejavu-mono (2.37-8) ... 143s Setting up python3-kiwisolver (1.4.7-3build1) ... 143s Setting up python3-numpy-dev:s390x (1:2.2.3+ds-5) ... 143s Setting up libtcl8.6:s390x (8.6.16+dfsg-1) ... 143s Setting up fonts-dejavu-core (2.37-8) ... 143s Setting up libjpeg-turbo8:s390x (2.1.5-3ubuntu2) ... 143s Setting up libgfortran5:s390x (15-20250222-0ubuntu1) ... 143s Setting up libwebp7:s390x (1.5.0-0.1) ... 143s Setting up libxslt1.1:s390x (1.1.39-0exp1ubuntu2) ... 143s Setting up libopenjp2-7:s390x (2.5.3-2) ... 143s Setting up libharfbuzz0b:s390x (10.2.0-1) ... 143s Setting up python3-dateutil (2.9.0-3) ... 143s Setting up libxss1:s390x (1:1.2.3-1build3) ... 143s Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 143s Setting up python3-mpmath (1.3.0-1) ... 143s Setting up python-matplotlib-data (3.8.3-7build1) ... 143s Setting up libwebpmux3:s390x (1.5.0-0.1) ... 143s Setting up libjpeg8:s390x (8c-2ubuntu11) ... 143s Setting up python3-sympy (1.13.3-5) ... 147s Setting up liblapack3:s390x (3.12.1-2) ... 147s update-alternatives: using /usr/lib/s390x-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/s390x-linux-gnu/liblapack.so.3 (liblapack.so.3-s390x-linux-gnu) in auto mode 147s Setting up libdmlc0t64:s390x (0.5+git20240614.1334185-1) ... 147s Setting up fontconfig-config (2.15.0-2ubuntu1) ... 148s Setting up libwebpdemux2:s390x (1.5.0-0.1) ... 148s Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... 148s Setting up libraqm0:s390x (0.10.2-1) ... 148s Setting up python3-numpy (1:2.2.3+ds-5) ... 149s Setting up python3-lxml:s390x (5.3.1-1build1) ... 149s Setting up libtiff6:s390x (4.5.1+git230720-4ubuntu4) ... 149s Setting up libxgboost0 (2.1.4-1build1) ... 149s Setting up python3-contourpy (1.3.1-1build1) ... 149s Setting up libfontconfig1:s390x (2.15.0-2ubuntu1) ... 149s Setting up liblbfgsb0:s390x (3.0+dfsg.4-1build1) ... 149s Setting up libxft2:s390x (2.3.6-1build1) ... 149s Setting up python3-scipy (1.14.1-4ubuntu2) ... 151s Setting up libtk8.6:s390x (8.6.16-1) ... 151s Setting up python3-pandas-lib:s390x (2.2.3+dfsg-8build1) ... 151s Setting up python3.12-tk (3.12.9-1) ... 151s Setting up python3-sklearn-lib:s390x (1.4.2+dfsg-8) ... 151s Setting up python3.13-tk (3.13.2-2) ... 151s Setting up python3-pil:s390x (11.1.0-5build1) ... 152s Setting up python3-xgboost (2.1.4-1build1) ... 152s Setting up python3-pandas (2.2.3+dfsg-8build1) ... 155s Setting up libxgboost-dev (2.1.4-1build1) ... 155s Setting up python3-sklearn (1.4.2+dfsg-8) ... 156s Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... 156s Setting up blt (2.5.3+dfsg-8) ... 156s Setting up python3-tk:s390x (3.13.1-1) ... 156s Setting up python3-pil.imagetk:s390x (11.1.0-5build1) ... 156s Setting up python3-fonttools (4.55.3-2build1) ... 157s Setting up python3-ufolib2 (0.17.0+dfsg1-1) ... 157s Setting up python3-matplotlib (3.8.3-7build1) ... 158s Processing triggers for libc-bin (2.41-1ubuntu1) ... 158s Processing triggers for man-db (2.13.0-1) ... 160s autopkgtest [01:49:05]: test run-demos: [----------------------- 160s ========================================== 160s Running case basic_walkthrough.py... 161s [0] eval-logloss:0.22646 train-logloss:0.23316 161s [1] eval-logloss:0.13776 train-logloss:0.13654 161s error=0.021726 161s ========================================== 161s Running case boost_from_prediction.py... 161s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 161s warnings.warn(msg, FutureWarning) 161s start running example to start from a initial prediction 161s [0] eval-logloss:0.22646 train-logloss:0.23316 161s this is result of running from initial prediction 161s [0] eval-logloss:0.13776 train-logloss:0.13654 162s ========================================== 162s Running case callbacks.py... 162s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [01:49:07] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 162s warnings.warn(smsg, UserWarning) 162s [0] Train-error:0.03052 Train-rmse:0.35870 Valid-error:0.06993 Valid-rmse:0.37215 162s [1] Train-error:0.01174 Train-rmse:0.27804 Valid-error:0.04895 Valid-rmse:0.29761 162s [2] Train-error:0.01174 Train-rmse:0.21911 Valid-error:0.04895 Valid-rmse:0.25064 163s [3] Train-error:0.00939 Train-rmse:0.17913 Valid-error:0.02797 Valid-rmse:0.21447 163s [4] Train-error:0.00939 Train-rmse:0.14893 Valid-error:0.02797 Valid-rmse:0.19740 163s [5] Train-error:0.00939 Train-rmse:0.12816 Valid-error:0.03497 Valid-rmse:0.18098 163s [6] Train-error:0.00704 Train-rmse:0.11060 Valid-error:0.03497 Valid-rmse:0.17131 163s [7] Train-error:0.00704 Train-rmse:0.09947 Valid-error:0.03497 Valid-rmse:0.16077 163s [8] Train-error:0.00469 Train-rmse:0.08816 Valid-error:0.02797 Valid-rmse:0.14865 163s [9] Train-error:0.00469 Train-rmse:0.07863 Valid-error:0.03497 Valid-rmse:0.15073 163s [10] Train-error:0.00469 Train-rmse:0.07164 Valid-error:0.02098 Valid-rmse:0.14161 163s [11] Train-error:0.00469 Train-rmse:0.06692 Valid-error:0.01399 Valid-rmse:0.14028 163s [12] Train-error:0.00235 Train-rmse:0.06216 Valid-error:0.01399 Valid-rmse:0.13727 163s [13] Train-error:0.00235 Train-rmse:0.05811 Valid-error:0.01399 Valid-rmse:0.13495 163s [14] Train-error:0.00000 Train-rmse:0.05532 Valid-error:0.02098 Valid-rmse:0.13500 163s [15] Train-error:0.00000 Train-rmse:0.05178 Valid-error:0.02098 Valid-rmse:0.13226 163s [16] Train-error:0.00000 Train-rmse:0.04924 Valid-error:0.02098 Valid-rmse:0.13329 163s [17] Train-error:0.00000 Train-rmse:0.04656 Valid-error:0.01399 Valid-rmse:0.13183 163s [18] Train-error:0.00000 Train-rmse:0.04437 Valid-error:0.01399 Valid-rmse:0.13353 163s [19] Train-error:0.00000 Train-rmse:0.04272 Valid-error:0.02098 Valid-rmse:0.13468 163s [20] Train-error:0.00000 Train-rmse:0.04030 Valid-error:0.02098 Valid-rmse:0.13419 163s [21] Train-error:0.00000 Train-rmse:0.03869 Valid-error:0.02797 Valid-rmse:0.13543 163s [22] Train-error:0.00000 Train-rmse:0.03548 Valid-error:0.03497 Valid-rmse:0.13316 163s [23] Train-error:0.00000 Train-rmse:0.03444 Valid-error:0.03497 Valid-rmse:0.13637 163s [24] Train-error:0.00000 Train-rmse:0.03369 Valid-error:0.04196 Valid-rmse:0.13663 163s [25] Train-error:0.00000 Train-rmse:0.03213 Valid-error:0.03497 Valid-rmse:0.13386 163s [26] Train-error:0.00000 Train-rmse:0.03100 Valid-error:0.03497 Valid-rmse:0.13180 163s [27] Train-error:0.00000 Train-rmse:0.03036 Valid-error:0.03497 Valid-rmse:0.13263 163s [28] Train-error:0.00000 Train-rmse:0.02957 Valid-error:0.04196 Valid-rmse:0.13493 163s [29] Train-error:0.00000 Train-rmse:0.02866 Valid-error:0.03497 Valid-rmse:0.13487 163s [30] Train-error:0.00000 Train-rmse:0.02851 Valid-error:0.04196 Valid-rmse:0.13384 163s [31] Train-error:0.00000 Train-rmse:0.02721 Valid-error:0.02797 Valid-rmse:0.13117 163s [32] Train-error:0.00000 Train-rmse:0.02615 Valid-error:0.03497 Valid-rmse:0.13188 163s [33] Train-error:0.00000 Train-rmse:0.02559 Valid-error:0.03497 Valid-rmse:0.13096 163s [34] Train-error:0.00000 Train-rmse:0.02520 Valid-error:0.04196 Valid-rmse:0.13283 163s [35] Train-error:0.00000 Train-rmse:0.02438 Valid-error:0.03497 Valid-rmse:0.13220 163s [36] Train-error:0.00000 Train-rmse:0.02356 Valid-error:0.03497 Valid-rmse:0.13030 163s [37] Train-error:0.00000 Train-rmse:0.02348 Valid-error:0.03497 Valid-rmse:0.12942 163s [38] Train-error:0.00000 Train-rmse:0.02337 Valid-error:0.03497 Valid-rmse:0.12955 163s [39] Train-error:0.00000 Train-rmse:0.02265 Valid-error:0.02797 Valid-rmse:0.12785 163s [40] Train-error:0.00000 Train-rmse:0.02283 Valid-error:0.03497 Valid-rmse:0.12889 163s [41] Train-error:0.00000 Train-rmse:0.02255 Valid-error:0.03497 Valid-rmse:0.13066 163s [42] Train-error:0.00000 Train-rmse:0.02190 Valid-error:0.03497 Valid-rmse:0.12905 163s [43] Train-error:0.00000 Train-rmse:0.02173 Valid-error:0.03497 Valid-rmse:0.12833 163s [44] Train-error:0.00000 Train-rmse:0.02180 Valid-error:0.03497 Valid-rmse:0.12884 163s [45] Train-error:0.00000 Train-rmse:0.02153 Valid-error:0.03497 Valid-rmse:0.13050 163s [46] Train-error:0.00000 Train-rmse:0.02149 Valid-error:0.03497 Valid-rmse:0.12927 163s [47] Train-error:0.00000 Train-rmse:0.02134 Valid-error:0.02797 Valid-rmse:0.13012 163s [48] Train-error:0.00000 Train-rmse:0.02119 Valid-error:0.03497 Valid-rmse:0.12936 163s [49] Train-error:0.00000 Train-rmse:0.02124 Valid-error:0.02797 Valid-rmse:0.12989 163s [50] Train-error:0.00000 Train-rmse:0.02116 Valid-error:0.02797 Valid-rmse:0.13014 163s [51] Train-error:0.00000 Train-rmse:0.02107 Valid-error:0.02797 Valid-rmse:0.12953 163s [52] Train-error:0.00000 Train-rmse:0.02121 Valid-error:0.02797 Valid-rmse:0.12976 163s [53] Train-error:0.00000 Train-rmse:0.02080 Valid-error:0.02797 Valid-rmse:0.12903 163s [54] Train-error:0.00000 Train-rmse:0.02060 Valid-error:0.02797 Valid-rmse:0.13032 163s [55] Train-error:0.00000 Train-rmse:0.02069 Valid-error:0.02797 Valid-rmse:0.13027 163s [56] Train-error:0.00000 Train-rmse:0.02039 Valid-error:0.02797 Valid-rmse:0.12900 163s [57] Train-error:0.00000 Train-rmse:0.02031 Valid-error:0.02797 Valid-rmse:0.12845 163s [58] Train-error:0.00000 Train-rmse:0.02047 Valid-error:0.02797 Valid-rmse:0.12928 163s [59] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12865 163s [60] Train-error:0.00000 Train-rmse:0.02027 Valid-error:0.02797 Valid-rmse:0.12884 163s [61] Train-error:0.00000 Train-rmse:0.02023 Valid-error:0.02797 Valid-rmse:0.12917 163s [62] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12947 163s [63] Train-error:0.00000 Train-rmse:0.01986 Valid-error:0.02797 Valid-rmse:0.12827 163s [64] Train-error:0.00000 Train-rmse:0.01980 Valid-error:0.02797 Valid-rmse:0.12780 163s [65] Train-error:0.00000 Train-rmse:0.01971 Valid-error:0.02797 Valid-rmse:0.12888 163s [66] Train-error:0.00000 Train-rmse:0.01980 Valid-error:0.02797 Valid-rmse:0.12928 164s [67] Train-error:0.00000 Train-rmse:0.01977 Valid-error:0.02797 Valid-rmse:0.12962 164s [68] Train-error:0.00000 Train-rmse:0.01969 Valid-error:0.02797 Valid-rmse:0.12991 164s [69] Train-error:0.00000 Train-rmse:0.01940 Valid-error:0.02797 Valid-rmse:0.12920 164s [70] Train-error:0.00000 Train-rmse:0.01941 Valid-error:0.02797 Valid-rmse:0.12825 164s [71] Train-error:0.00000 Train-rmse:0.01936 Valid-error:0.02797 Valid-rmse:0.12785 164s [72] Train-error:0.00000 Train-rmse:0.01950 Valid-error:0.02797 Valid-rmse:0.12858 164s [73] Train-error:0.00000 Train-rmse:0.01921 Valid-error:0.02797 Valid-rmse:0.12791 164s [74] Train-error:0.00000 Train-rmse:0.01914 Valid-error:0.02797 Valid-rmse:0.12832 164s [75] Train-error:0.00000 Train-rmse:0.01912 Valid-error:0.02797 Valid-rmse:0.12821 164s [76] Train-error:0.00000 Train-rmse:0.01906 Valid-error:0.02797 Valid-rmse:0.12814 164s [77] Train-error:0.00000 Train-rmse:0.01897 Valid-error:0.02797 Valid-rmse:0.12845 164s [78] Train-error:0.00000 Train-rmse:0.01875 Valid-error:0.02797 Valid-rmse:0.12734 164s [79] Train-error:0.00000 Train-rmse:0.01873 Valid-error:0.02797 Valid-rmse:0.12765 164s [80] Train-error:0.00000 Train-rmse:0.01866 Valid-error:0.02797 Valid-rmse:0.12793 164s [81] Train-error:0.00000 Train-rmse:0.01869 Valid-error:0.02797 Valid-rmse:0.12708 164s [82] Train-error:0.00000 Train-rmse:0.01844 Valid-error:0.02797 Valid-rmse:0.12642 164s [83] Train-error:0.00000 Train-rmse:0.01857 Valid-error:0.02797 Valid-rmse:0.12709 164s [84] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12674 164s [85] Train-error:0.00000 Train-rmse:0.01862 Valid-error:0.02797 Valid-rmse:0.12712 164s [86] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12754 164s [87] Train-error:0.00000 Train-rmse:0.01829 Valid-error:0.02797 Valid-rmse:0.12693 164s [88] Train-error:0.00000 Train-rmse:0.01821 Valid-error:0.02797 Valid-rmse:0.12788 164s [89] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12782 164s [90] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12768 164s [91] Train-error:0.00000 Train-rmse:0.01809 Valid-error:0.02797 Valid-rmse:0.12797 164s [92] Train-error:0.00000 Train-rmse:0.01807 Valid-error:0.02797 Valid-rmse:0.12768 165s [93] Train-error:0.00000 Train-rmse:0.01798 Valid-error:0.02797 Valid-rmse:0.12858 165s [94] Train-error:0.00000 Train-rmse:0.01776 Valid-error:0.02797 Valid-rmse:0.12801 165s [95] Train-error:0.00000 Train-rmse:0.01786 Valid-error:0.02797 Valid-rmse:0.12804 165s [96] Train-error:0.00000 Train-rmse:0.01779 Valid-error:0.02797 Valid-rmse:0.12844 165s [97] Train-error:0.00000 Train-rmse:0.01778 Valid-error:0.02797 Valid-rmse:0.12875 165s [98] Train-error:0.00000 Train-rmse:0.01759 Valid-error:0.02797 Valid-rmse:0.12806 165s [99] Train-error:0.00000 Train-rmse:0.01771 Valid-error:0.02797 Valid-rmse:0.12865 165s ========================================== 165s Skip case cat_in_the_dat.py... 165s ========================================== 165s Running case cat_pipeline.py... 165s ========================================== 165s Running case categorical.py... 165s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [01:49:10] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 165s warnings.warn(smsg, UserWarning) 165s [0] validation_0-rmse:2.94171 165s [1] validation_0-rmse:2.40095 165s [2] validation_0-rmse:1.96121 165s [3] validation_0-rmse:1.61285 165s [4] validation_0-rmse:1.35854 165s [5] validation_0-rmse:1.12286 165s [6] validation_0-rmse:0.96789 165s [7] validation_0-rmse:0.79707 165s [8] validation_0-rmse:0.66201 165s [9] validation_0-rmse:0.55282 165s [10] validation_0-rmse:0.46038 165s [11] validation_0-rmse:0.38278 165s [12] validation_0-rmse:0.32840 165s [13] validation_0-rmse:0.27462 165s [14] validation_0-rmse:0.23398 165s [15] validation_0-rmse:0.19823 165s [16] validation_0-rmse:0.16984 165s [17] validation_0-rmse:0.14636 165s [18] validation_0-rmse:0.12447 165s [19] validation_0-rmse:0.10444 165s [20] validation_0-rmse:0.08984 165s [21] validation_0-rmse:0.07610 165s [22] validation_0-rmse:0.06622 165s [23] validation_0-rmse:0.05653 165s [24] validation_0-rmse:0.04906 165s [25] validation_0-rmse:0.04173 165s [26] validation_0-rmse:0.03550 165s [27] validation_0-rmse:0.03046 165s [28] validation_0-rmse:0.02585 165s [29] validation_0-rmse:0.02187 165s [30] validation_0-rmse:0.01863 165s [31] validation_0-rmse:0.01597 165s [32] validation_0-rmse:0.01361 165s [33] validation_0-rmse:0.01166 165s [34] validation_0-rmse:0.01041 165s [35] validation_0-rmse:0.00909 165s [36] validation_0-rmse:0.00780 165s [37] validation_0-rmse:0.00666 165s [38] validation_0-rmse:0.00569 165s [39] validation_0-rmse:0.00493 165s [40] validation_0-rmse:0.00426 165s [41] validation_0-rmse:0.00365 165s [42] validation_0-rmse:0.00314 165s [43] validation_0-rmse:0.00268 165s [44] validation_0-rmse:0.00233 165s [45] validation_0-rmse:0.00200 165s [46] validation_0-rmse:0.00170 165s [47] validation_0-rmse:0.00148 165s [48] validation_0-rmse:0.00130 165s [49] validation_0-rmse:0.00116 165s [50] validation_0-rmse:0.00100 165s [51] validation_0-rmse:0.00090 165s [52] validation_0-rmse:0.00082 165s [53] validation_0-rmse:0.00075 165s [54] validation_0-rmse:0.00075 165s [55] validation_0-rmse:0.00075 165s [56] validation_0-rmse:0.00075 165s [57] validation_0-rmse:0.00075 165s [58] validation_0-rmse:0.00075 165s [59] validation_0-rmse:0.00075 165s [60] validation_0-rmse:0.00075 165s [61] validation_0-rmse:0.00075 165s [62] validation_0-rmse:0.00075 165s [63] validation_0-rmse:0.00075 165s [64] validation_0-rmse:0.00075 165s [65] validation_0-rmse:0.00075 165s [66] validation_0-rmse:0.00075 165s [67] validation_0-rmse:0.00075 165s [68] validation_0-rmse:0.00075 165s [69] validation_0-rmse:0.00075 165s [70] validation_0-rmse:0.00075 165s [71] validation_0-rmse:0.00075 165s [72] validation_0-rmse:0.00075 165s [73] validation_0-rmse:0.00075 165s [74] validation_0-rmse:0.00075 165s [75] validation_0-rmse:0.00075 165s [76] validation_0-rmse:0.00075 165s [77] validation_0-rmse:0.00075 165s [78] validation_0-rmse:0.00075 165s [79] validation_0-rmse:0.00075 165s [80] validation_0-rmse:0.00075 165s [81] validation_0-rmse:0.00075 165s [82] validation_0-rmse:0.00075 165s [83] validation_0-rmse:0.00075 165s [84] validation_0-rmse:0.00075 165s [85] validation_0-rmse:0.00075 165s [86] validation_0-rmse:0.00075 165s [87] validation_0-rmse:0.00075 165s [88] validation_0-rmse:0.00075 165s [89] validation_0-rmse:0.00075 165s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [01:49:10] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 165s warnings.warn(smsg, UserWarning) 165s [90] validation_0-rmse:0.00075 165s [91] validation_0-rmse:0.00075 165s [92] validation_0-rmse:0.00075 165s [93] validation_0-rmse:0.00075 165s [94] validation_0-rmse:0.00075 165s [95] validation_0-rmse:0.00075 165s [96] validation_0-rmse:0.00075 165s [97] validation_0-rmse:0.00075 165s [98] validation_0-rmse:0.00075 165s [99] validation_0-rmse:0.00075 165s [0] validation_0-rmse:2.94171 165s [1] validation_0-rmse:2.40095 165s [2] validation_0-rmse:1.96121 165s [3] validation_0-rmse:1.61285 165s [4] validation_0-rmse:1.35854 165s [5] validation_0-rmse:1.12286 165s [6] validation_0-rmse:0.96789 165s [7] validation_0-rmse:0.79707 165s [8] validation_0-rmse:0.66201 165s [9] validation_0-rmse:0.55282 165s [10] validation_0-rmse:0.46038 165s [11] validation_0-rmse:0.38278 165s [12] validation_0-rmse:0.32840 165s [13] validation_0-rmse:0.27462 165s [14] validation_0-rmse:0.23398 165s [15] validation_0-rmse:0.19823 165s [16] validation_0-rmse:0.16984 165s [17] validation_0-rmse:0.14636 165s [18] validation_0-rmse:0.12447 165s [19] validation_0-rmse:0.10444 165s [20] validation_0-rmse:0.08984 165s [21] validation_0-rmse:0.07610 165s [22] validation_0-rmse:0.06622 165s [23] validation_0-rmse:0.05653 165s [24] validation_0-rmse:0.04906 165s [25] validation_0-rmse:0.04173 165s [26] validation_0-rmse:0.03550 165s [27] validation_0-rmse:0.03046 165s [28] validation_0-rmse:0.02585 165s [29] validation_0-rmse:0.02187 165s [30] validation_0-rmse:0.01863 165s [31] validation_0-rmse:0.01597 165s [32] validation_0-rmse:0.01361 165s [33] validation_0-rmse:0.01166 165s [34] validation_0-rmse:0.01041 165s [35] validation_0-rmse:0.00909 165s [36] validation_0-rmse:0.00780 165s [37] validation_0-rmse:0.00666 165s [38] validation_0-rmse:0.00569 165s [39] validation_0-rmse:0.00493 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validation_0-logloss:0.00371 166s [67] validation_0-logloss:0.00371 166s [68] validation_0-logloss:0.00371 166s [69] validation_0-logloss:0.00371 166s [70] validation_0-logloss:0.00371 166s [71] validation_0-logloss:0.00371 166s Total boosted rounds: 195 166s [0] validation_0-logloss:0.43281 166s [1] validation_0-logloss:0.30816 166s [2] validation_0-logloss:0.22816 166s [3] validation_0-logloss:0.17470 166s [4] validation_0-logloss:0.13438 166s [5] validation_0-logloss:0.10538 166s [6] validation_0-logloss:0.08467 166s [7] validation_0-logloss:0.06909 166s [8] validation_0-logloss:0.05766 166s [9] validation_0-logloss:0.04842 166s [10] validation_0-logloss:0.04121 166s [11] validation_0-logloss:0.03545 166s [12] validation_0-logloss:0.03077 166s [13] validation_0-logloss:0.02742 166s [14] validation_0-logloss:0.02444 166s [15] validation_0-logloss:0.02208 166s [16] validation_0-logloss:0.01993 166s [17] validation_0-logloss:0.01819 166s [18] validation_0-logloss:0.01676 166s [19] validation_0-logloss:0.01575 166s [20] validation_0-logloss:0.01461 166s [21] validation_0-logloss:0.01383 166s [22] validation_0-logloss:0.01304 166s [23] validation_0-logloss:0.01243 166s [24] validation_0-logloss:0.01179 166s [25] validation_0-logloss:0.01142 166s [26] validation_0-logloss:0.01103 166s [27] validation_0-logloss:0.01066 166s [28] validation_0-logloss:0.01037 166s [29] validation_0-logloss:0.00993 166s [30] validation_0-logloss:0.00966 166s [31] validation_0-logloss:0.00920 166s [32] validation_0-logloss:0.00900 166s [33] validation_0-logloss:0.00876 166s [34] validation_0-logloss:0.00852 166s [35] validation_0-logloss:0.00835 166s [36] validation_0-logloss:0.00810 166s [37] validation_0-logloss:0.00791 166s [38] validation_0-logloss:0.00764 166s [39] validation_0-logloss:0.00753 166s [40] validation_0-logloss:0.00739 166s [41] validation_0-logloss:0.00723 166s [42] validation_0-logloss:0.00706 166s [43] validation_0-logloss:0.00695 166s [44] validation_0-logloss:0.00688 166s [45] validation_0-logloss:0.00671 166s [46] validation_0-logloss:0.00662 166s [47] validation_0-logloss:0.00650 166s [48] validation_0-logloss:0.00637 166s [49] validation_0-logloss:0.00628 166s [50] validation_0-logloss:0.00623 166s [51] validation_0-logloss:0.00618 166s [52] validation_0-logloss:0.00614 166s [53] validation_0-logloss:0.00609 166s [54] validation_0-logloss:0.00600 166s [55] validation_0-logloss:0.00590 166s [56] validation_0-logloss:0.00582 166s [57] validation_0-logloss:0.00578 166s [58] validation_0-logloss:0.00570 166s [59] validation_0-logloss:0.00566 166s [60] validation_0-logloss:0.00563 166s [61] validation_0-logloss:0.00559 166s [62] validation_0-logloss:0.00556 166s [63] validation_0-logloss:0.00553 166s [64] validation_0-logloss:0.00549 166s [65] validation_0-logloss:0.00546 166s [66] validation_0-logloss:0.00543 166s [67] validation_0-logloss:0.00540 166s [68] validation_0-logloss:0.00537 166s [69] validation_0-logloss:0.00534 166s [70] validation_0-logloss:0.00531 166s [71] validation_0-logloss:0.00528 166s [72] validation_0-logloss:0.00525 166s [73] validation_0-logloss:0.00523 166s [74] validation_0-logloss:0.00520 166s [75] validation_0-logloss:0.00517 166s [76] validation_0-logloss:0.00515 166s [77] validation_0-logloss:0.00512 166s [78] validation_0-logloss:0.00510 166s [79] validation_0-logloss:0.00507 166s [80] validation_0-logloss:0.00505 166s [81] validation_0-logloss:0.00502 166s [82] validation_0-logloss:0.00500 166s [83] validation_0-logloss:0.00498 166s [84] validation_0-logloss:0.00496 166s [85] validation_0-logloss:0.00493 166s [86] validation_0-logloss:0.00491 166s [87] validation_0-logloss:0.00489 166s [88] validation_0-logloss:0.00486 166s [89] validation_0-logloss:0.00484 166s [90] validation_0-logloss:0.00482 166s [91] validation_0-logloss:0.00480 166s [92] validation_0-logloss:0.00478 166s [93] validation_0-logloss:0.00476 166s [94] validation_0-logloss:0.00474 166s [95] validation_0-logloss:0.00472 166s [96] validation_0-logloss:0.00470 166s [97] validation_0-logloss:0.00468 166s [98] validation_0-logloss:0.00466 166s [99] validation_0-logloss:0.00464 166s [100] validation_0-logloss:0.00463 166s [101] validation_0-logloss:0.00461 166s [102] validation_0-logloss:0.00459 166s [103] validation_0-logloss:0.00457 166s [104] validation_0-logloss:0.00456 166s [105] validation_0-logloss:0.00454 166s [106] validation_0-logloss:0.00452 166s [107] validation_0-logloss:0.00451 166s [108] validation_0-logloss:0.00449 166s [109] validation_0-logloss:0.00448 166s [110] validation_0-logloss:0.00446 166s [111] validation_0-logloss:0.00444 166s [112] validation_0-logloss:0.00443 166s [113] validation_0-logloss:0.00441 166s [114] validation_0-logloss:0.00440 166s [115] validation_0-logloss:0.00438 166s [116] validation_0-logloss:0.00437 166s [117] validation_0-logloss:0.00435 166s [118] validation_0-logloss:0.00434 166s [119] validation_0-logloss:0.00433 166s [120] validation_0-logloss:0.00431 166s [121] validation_0-logloss:0.00430 166s [122] validation_0-logloss:0.00429 166s [123] validation_0-logloss:0.00427 166s [124] validation_0-logloss:0.00426 166s [125] validation_0-logloss:0.00425 166s [126] validation_0-logloss:0.00423 166s [127] validation_0-logloss:0.00422 166s [128] validation_0-logloss:0.00421 166s [129] validation_0-logloss:0.00420 166s [130] validation_0-logloss:0.00419 166s [131] validation_0-logloss:0.00417 166s [132] validation_0-logloss:0.00416 166s [133] validation_0-logloss:0.00415 166s [134] validation_0-logloss:0.00414 166s [135] validation_0-logloss:0.00413 166s [136] validation_0-logloss:0.00412 166s [137] validation_0-logloss:0.00411 166s [138] validation_0-logloss:0.00410 166s [139] validation_0-logloss:0.00409 166s [140] validation_0-logloss:0.00408 166s [141] validation_0-logloss:0.00407 166s [142] validation_0-logloss:0.00406 166s [143] validation_0-logloss:0.00405 166s [144] validation_0-logloss:0.00404 166s [145] validation_0-logloss:0.00403 166s [146] validation_0-logloss:0.00402 166s [147] validation_0-logloss:0.00401 166s [148] validation_0-logloss:0.00400 166s [149] validation_0-logloss:0.00399 166s [150] validation_0-logloss:0.00398 166s [151] validation_0-logloss:0.00397 166s [152] validation_0-logloss:0.00396 166s [153] validation_0-logloss:0.00396 166s [154] validation_0-logloss:0.00395 166s [155] validation_0-logloss:0.00394 166s [156] validation_0-logloss:0.00393 166s [157] validation_0-logloss:0.00392 166s [158] validation_0-logloss:0.00391 166s [159] validation_0-logloss:0.00391 166s [160] validation_0-logloss:0.00390 166s [161] validation_0-logloss:0.00389 166s [162] validation_0-logloss:0.00388 166s [163] validation_0-logloss:0.00388 166s [164] validation_0-logloss:0.00387 166s [165] validation_0-logloss:0.00386 166s [166] validation_0-logloss:0.00385 166s [167] validation_0-logloss:0.00385 166s [168] validation_0-logloss:0.00384 166s [169] validation_0-logloss:0.00383 166s [170] validation_0-logloss:0.00383 166s [171] validation_0-logloss:0.00382 166s [172] validation_0-logloss:0.00381 166s [173] validation_0-logloss:0.00381 166s [174] validation_0-logloss:0.00380 166s [175] validation_0-logloss:0.00380 166s [176] validation_0-logloss:0.00379 166s [177] validation_0-logloss:0.00379 166s [178] validation_0-logloss:0.00378 166s [179] validation_0-logloss:0.00378 166s [180] validation_0-logloss:0.00377 166s [181] validation_0-logloss:0.00377 166s [182] validation_0-logloss:0.00376 166s [183] validation_0-logloss:0.00376 166s [184] validation_0-logloss:0.00375 166s [185] validation_0-logloss:0.00375 166s [186] validation_0-logloss:0.00374 166s [187] validation_0-logloss:0.00374 166s [188] validation_0-logloss:0.00373 166s [189] validation_0-logloss:0.00373 166s [190] validation_0-logloss:0.00373 166s [191] validation_0-logloss:0.00372 166s [192] validation_0-logloss:0.00372 166s [193] validation_0-logloss:0.00372 166s [194] validation_0-logloss:0.00371 166s [195] validation_0-logloss:0.00371 166s [196] validation_0-logloss:0.00371 166s [197] validation_0-logloss:0.00371 166s [198] validation_0-logloss:0.00371 166s Total boosted rounds: 195 166s [0] validation_0-logloss:0.43281 166s [1] validation_0-logloss:0.30816 166s [2] validation_0-logloss:0.22816 166s [3] validation_0-logloss:0.17470 166s [4] validation_0-logloss:0.13438 166s [5] validation_0-logloss:0.10538 166s [6] validation_0-logloss:0.08467 166s [7] validation_0-logloss:0.06909 166s [8] validation_0-logloss:0.05766 166s [9] validation_0-logloss:0.04842 166s [10] validation_0-logloss:0.04121 166s [11] validation_0-logloss:0.03545 166s [12] validation_0-logloss:0.03077 166s [13] validation_0-logloss:0.02742 166s [14] validation_0-logloss:0.02444 166s [15] validation_0-logloss:0.02208 166s [16] validation_0-logloss:0.01993 166s [17] validation_0-logloss:0.01819 166s [18] validation_0-logloss:0.01676 166s [19] validation_0-logloss:0.01575 166s [20] validation_0-logloss:0.01461 166s [21] validation_0-logloss:0.01383 166s [22] validation_0-logloss:0.01304 166s [23] validation_0-logloss:0.01243 166s [24] validation_0-logloss:0.01179 166s [25] validation_0-logloss:0.01142 166s [26] validation_0-logloss:0.01103 166s [27] validation_0-logloss:0.01066 166s [28] validation_0-logloss:0.01037 166s [29] validation_0-logloss:0.00993 166s [30] validation_0-logloss:0.00966 166s [31] validation_0-logloss:0.00920 166s [32] validation_0-logloss:0.00900 166s [33] validation_0-logloss:0.00876 166s [34] validation_0-logloss:0.00852 166s [35] validation_0-logloss:0.00835 166s [36] validation_0-logloss:0.00810 166s [37] validation_0-logloss:0.00791 166s [38] validation_0-logloss:0.00764 166s [39] validation_0-logloss:0.00753 166s [40] validation_0-logloss:0.00739 166s [41] validation_0-logloss:0.00723 166s [42] validation_0-logloss:0.00706 166s [43] validation_0-logloss:0.00695 166s [44] validation_0-logloss:0.00688 166s [45] validation_0-logloss:0.00671 166s [46] validation_0-logloss:0.00662 166s [47] validation_0-logloss:0.00650 166s [48] validation_0-logloss:0.00637 166s [49] validation_0-logloss:0.00628 166s [50] validation_0-logloss:0.00623 166s [51] validation_0-logloss:0.00618 166s [52] validation_0-logloss:0.00614 166s [53] validation_0-logloss:0.00609 166s [54] validation_0-logloss:0.00600 166s [55] validation_0-logloss:0.00590 166s [56] validation_0-logloss:0.00582 166s [57] validation_0-logloss:0.00578 166s [58] validation_0-logloss:0.00570 166s [59] validation_0-logloss:0.00566 166s [60] validation_0-logloss:0.00563 166s [61] validation_0-logloss:0.00559 166s [62] validation_0-logloss:0.00556 166s [63] validation_0-logloss:0.00553 166s [64] validation_0-logloss:0.00549 166s [65] validation_0-logloss:0.00546 166s [66] validation_0-logloss:0.00543 166s [67] validation_0-logloss:0.00540 166s [68] validation_0-logloss:0.00537 166s [69] validation_0-logloss:0.00534 166s [70] validation_0-logloss:0.00531 166s [71] validation_0-logloss:0.00528 166s [72] validation_0-logloss:0.00525 166s [73] validation_0-logloss:0.00523 166s [74] validation_0-logloss:0.00520 166s [75] validation_0-logloss:0.00517 166s [76] validation_0-logloss:0.00515 166s [77] validation_0-logloss:0.00512 166s [78] validation_0-logloss:0.00510 166s [79] validation_0-logloss:0.00507 166s [80] validation_0-logloss:0.00505 166s [81] validation_0-logloss:0.00502 166s [82] validation_0-logloss:0.00500 166s [83] validation_0-logloss:0.00498 166s [84] validation_0-logloss:0.00496 166s [85] validation_0-logloss:0.00493 166s [86] validation_0-logloss:0.00491 166s [87] validation_0-logloss:0.00489 166s [88] validation_0-logloss:0.00486 166s [89] validation_0-logloss:0.00484 166s [90] validation_0-logloss:0.00482 166s [91] validation_0-logloss:0.00480 166s [92] validation_0-logloss:0.00478 166s [93] validation_0-logloss:0.00476 166s [94] validation_0-logloss:0.00474 166s [95] validation_0-logloss:0.00472 166s [96] validation_0-logloss:0.00470 166s [97] validation_0-logloss:0.00468 166s [98] validation_0-logloss:0.00466 166s [99] validation_0-logloss:0.00464 166s [100] validation_0-logloss:0.00463 166s [101] validation_0-logloss:0.00461 166s [102] validation_0-logloss:0.00459 166s [103] validation_0-logloss:0.00457 166s [104] validation_0-logloss:0.00456 166s [105] validation_0-logloss:0.00454 166s [106] validation_0-logloss:0.00452 166s [107] validation_0-logloss:0.00451 166s [108] validation_0-logloss:0.00449 166s [109] validation_0-logloss:0.00448 166s [110] validation_0-logloss:0.00446 166s [111] validation_0-logloss:0.00444 166s [112] validation_0-logloss:0.00443 166s [113] validation_0-logloss:0.00441 166s [114] validation_0-logloss:0.00440 166s [115] validation_0-logloss:0.00438 166s [116] validation_0-logloss:0.00437 166s [117] validation_0-logloss:0.00435 166s [118] validation_0-logloss:0.00434 166s [119] validation_0-logloss:0.00433 166s [120] validation_0-logloss:0.00431 166s [121] validation_0-logloss:0.00430 166s [122] validation_0-logloss:0.00429 166s [123] validation_0-logloss:0.00427 166s [124] validation_0-logloss:0.00426 166s [125] validation_0-logloss:0.00425 166s [126] validation_0-logloss:0.00423 166s [127] validation_0-logloss:0.00422 166s [0] validation_0-logloss:0.00421 166s [1] validation_0-logloss:0.00420 166s [2] validation_0-logloss:0.00419 166s [3] validation_0-logloss:0.00417 166s [4] validation_0-logloss:0.00416 166s [5] validation_0-logloss:0.00415 166s [6] validation_0-logloss:0.00414 166s [7] validation_0-logloss:0.00413 166s [8] validation_0-logloss:0.00412 166s [9] validation_0-logloss:0.00411 166s [10] validation_0-logloss:0.00410 166s [11] validation_0-logloss:0.00409 166s [12] validation_0-logloss:0.00408 166s [13] validation_0-logloss:0.00407 166s [14] validation_0-logloss:0.00406 166s [15] validation_0-logloss:0.00405 166s [16] validation_0-logloss:0.00404 166s [17] validation_0-logloss:0.00403 166s [18] validation_0-logloss:0.00402 166s [19] validation_0-logloss:0.00401 166s [20] validation_0-logloss:0.00400 166s [21] validation_0-logloss:0.00399 166s [22] validation_0-logloss:0.00398 166s [23] validation_0-logloss:0.00397 166s [24] validation_0-logloss:0.00396 166s [25] validation_0-logloss:0.00396 166s [26] validation_0-logloss:0.00395 166s [27] validation_0-logloss:0.00394 166s [28] validation_0-logloss:0.00393 166s [29] validation_0-logloss:0.00392 166s [30] validation_0-logloss:0.00391 166s [31] validation_0-logloss:0.00391 166s [32] validation_0-logloss:0.00390 166s [33] validation_0-logloss:0.00389 166s [34] validation_0-logloss:0.00388 166s [35] validation_0-logloss:0.00388 166s [36] validation_0-logloss:0.00387 166s [37] validation_0-logloss:0.00386 166s [38] validation_0-logloss:0.00385 166s [39] validation_0-logloss:0.00385 166s [40] validation_0-logloss:0.00384 166s [41] validation_0-logloss:0.00383 166s [42] validation_0-logloss:0.00383 166s [43] validation_0-logloss:0.00382 166s [44] validation_0-logloss:0.00381 166s [45] validation_0-logloss:0.00381 166s [46] validation_0-logloss:0.00380 166s [47] validation_0-logloss:0.00380 166s [48] validation_0-logloss:0.00379 166s [49] validation_0-logloss:0.00379 166s [50] validation_0-logloss:0.00378 166s [51] validation_0-logloss:0.00378 166s [52] validation_0-logloss:0.00377 166s [53] validation_0-logloss:0.00377 166s [54] validation_0-logloss:0.00376 166s [55] validation_0-logloss:0.00376 166s [56] validation_0-logloss:0.00375 166s [57] validation_0-logloss:0.00375 166s [58] validation_0-logloss:0.00374 166s [59] validation_0-logloss:0.00374 166s [60] validation_0-logloss:0.00373 166s [61] validation_0-logloss:0.00373 166s [62] validation_0-logloss:0.00373 166s [63] validation_0-logloss:0.00372 166s [64] validation_0-logloss:0.00372 166s [65] validation_0-logloss:0.00372 166s [66] validation_0-logloss:0.00371 166s [67] validation_0-logloss:0.00371 166s [68] validation_0-logloss:0.00371 166s [69] validation_0-logloss:0.00371 166s [70] validation_0-logloss:0.00371 166s Total boosted rounds: 195 166s [0] validation_0-logloss:0.43281 166s [1] validation_0-logloss:0.30816 166s [2] validation_0-logloss:0.22816 166s [3] validation_0-logloss:0.17470 166s [4] validation_0-logloss:0.13438 166s [5] validation_0-logloss:0.10538 166s [6] validation_0-logloss:0.08467 166s [7] validation_0-logloss:0.06909 166s [8] validation_0-logloss:0.05766 166s [9] validation_0-logloss:0.04842 166s [10] validation_0-logloss:0.04121 166s [11] validation_0-logloss:0.03545 166s [12] validation_0-logloss:0.03077 166s [13] validation_0-logloss:0.02742 166s [14] validation_0-logloss:0.02444 166s [15] validation_0-logloss:0.02208 166s [16] validation_0-logloss:0.01993 166s [17] validation_0-logloss:0.01819 166s [18] validation_0-logloss:0.01676 166s [19] validation_0-logloss:0.01575 166s [20] validation_0-logloss:0.01461 166s [21] validation_0-logloss:0.01383 166s [22] validation_0-logloss:0.01304 166s [23] validation_0-logloss:0.01243 166s [24] validation_0-logloss:0.01179 166s [25] validation_0-logloss:0.01142 166s [26] validation_0-logloss:0.01103 166s [27] validation_0-logloss:0.01066 166s [28] validation_0-logloss:0.01037 166s [29] validation_0-logloss:0.00993 166s [30] validation_0-logloss:0.00966 166s [31] validation_0-logloss:0.00920 166s [32] validation_0-logloss:0.00900 166s [33] validation_0-logloss:0.00876 166s [34] validation_0-logloss:0.00852 166s [35] validation_0-logloss:0.00835 166s [36] validation_0-logloss:0.00810 166s [37] validation_0-logloss:0.00791 166s [38] validation_0-logloss:0.00764 166s [39] validation_0-logloss:0.00753 166s [40] validation_0-logloss:0.00739 166s [41] validation_0-logloss:0.00723 166s [42] validation_0-logloss:0.00706 166s [43] validation_0-logloss:0.00695 166s [44] validation_0-logloss:0.00688 166s [45] validation_0-logloss:0.00671 166s [46] validation_0-logloss:0.00662 166s [47] validation_0-logloss:0.00650 166s [48] validation_0-logloss:0.00637 166s [49] validation_0-logloss:0.00628 166s [50] validation_0-logloss:0.00623 166s [51] validation_0-logloss:0.00618 166s [52] validation_0-logloss:0.00614 166s [53] validation_0-logloss:0.00609 166s [54] validation_0-logloss:0.00600 166s [55] validation_0-logloss:0.00590 166s [56] validation_0-logloss:0.00582 166s [57] validation_0-logloss:0.00578 166s [58] validation_0-logloss:0.00570 166s [59] validation_0-logloss:0.00566 166s [60] validation_0-logloss:0.00563 166s [61] validation_0-logloss:0.00559 166s [62] validation_0-logloss:0.00556 166s [63] validation_0-logloss:0.00553 166s [64] validation_0-logloss:0.00549 166s [65] validation_0-logloss:0.00546 166s [66] validation_0-logloss:0.00543 166s [67] validation_0-logloss:0.00540 166s [68] validation_0-logloss:0.00537 166s [69] validation_0-logloss:0.00534 166s [70] validation_0-logloss:0.00531 166s [71] validation_0-logloss:0.00528 166s [72] validation_0-logloss:0.00525 166s [73] validation_0-logloss:0.00523 166s [74] validation_0-logloss:0.00520 166s [75] validation_0-logloss:0.00517 166s [76] validation_0-logloss:0.00515 166s [77] validation_0-logloss:0.00512 166s [78] validation_0-logloss:0.00510 166s [79] validation_0-logloss:0.00507 166s [80] validation_0-logloss:0.00505 166s [81] validation_0-logloss:0.00502 166s [82] validation_0-logloss:0.00500 166s [83] validation_0-logloss:0.00498 166s [84] validation_0-logloss:0.00496 166s [85] validation_0-logloss:0.00493 166s [86] validation_0-logloss:0.00491 166s [87] validation_0-logloss:0.00489 166s [88] validation_0-logloss:0.00486 166s [89] validation_0-logloss:0.00484 166s [90] validation_0-logloss:0.00482 166s [91] validation_0-logloss:0.00480 166s [92] validation_0-logloss:0.00478 166s [93] validation_0-logloss:0.00476 166s [94] validation_0-logloss:0.00474 166s [95] validation_0-logloss:0.00472 166s [96] validation_0-logloss:0.00470 166s [97] validation_0-logloss:0.00468 166s [98] validation_0-logloss:0.00466 166s [99] validation_0-logloss:0.00464 166s [100] validation_0-logloss:0.00463 166s [101] validation_0-logloss:0.00461 166s [102] validation_0-logloss:0.00459 166s [103] validation_0-logloss:0.00457 166s [104] validation_0-logloss:0.00456 166s [105] validation_0-logloss:0.00454 166s [106] validation_0-logloss:0.00452 166s [107] validation_0-logloss:0.00451 166s [108] validation_0-logloss:0.00449 166s [109] validation_0-logloss:0.00448 166s [110] validation_0-logloss:0.00446 166s [111] validation_0-logloss:0.00444 166s [112] validation_0-logloss:0.00443 166s [113] validation_0-logloss:0.00441 166s [114] validation_0-logloss:0.00440 166s [115] validation_0-logloss:0.00438 166s [116] validation_0-logloss:0.00437 166s [117] validation_0-logloss:0.00435 166s [118] validation_0-logloss:0.00434 166s [119] validation_0-logloss:0.00433 166s [120] validation_0-logloss:0.00431 166s [121] validation_0-logloss:0.00430 166s [122] validation_0-logloss:0.00429 166s [123] validation_0-logloss:0.00427 166s [124] validation_0-logloss:0.00426 166s [125] validation_0-logloss:0.00425 166s [126] validation_0-logloss:0.00423 166s [127] validation_0-logloss:0.00422 166s Total boosted rounds: 128 166s [0] validation_0-logloss:0.43281 166s [1] validation_0-logloss:0.30816 166s [2] validation_0-logloss:0.22816 166s [3] validation_0-logloss:0.17470 166s [4] validation_0-logloss:0.13438 166s [5] validation_0-logloss:0.10538 166s [6] validation_0-logloss:0.08467 166s [7] validation_0-logloss:0.06909 166s [8] validation_0-logloss:0.05766 166s [9] validation_0-logloss:0.04842 166s [10] validation_0-logloss:0.04121 166s [11] validation_0-logloss:0.03545 166s [12] validation_0-logloss:0.03077 166s [13] validation_0-logloss:0.02742 166s [14] validation_0-logloss:0.02444 166s [15] validation_0-logloss:0.02208 166s [16] validation_0-logloss:0.01993 166s [17] validation_0-logloss:0.01819 166s [18] validation_0-logloss:0.01676 166s [19] validation_0-logloss:0.01575 166s [20] validation_0-logloss:0.01461 166s [21] validation_0-logloss:0.01383 166s [22] validation_0-logloss:0.01304 166s [23] validation_0-logloss:0.01243 166s [24] validation_0-logloss:0.01179 166s [25] validation_0-logloss:0.01142 166s [26] validation_0-logloss:0.01103 166s [27] validation_0-logloss:0.01066 166s [28] validation_0-logloss:0.01037 166s [29] validation_0-logloss:0.00993 166s [30] validation_0-logloss:0.00966 166s [31] validation_0-logloss:0.00920 166s [0] validation_0-logloss:0.00900 166s [1] validation_0-logloss:0.00876 166s [2] validation_0-logloss:0.00852 166s [3] validation_0-logloss:0.00835 166s [4] validation_0-logloss:0.00810 166s [5] validation_0-logloss:0.00791 166s [6] validation_0-logloss:0.00764 166s [7] validation_0-logloss:0.00753 166s [8] validation_0-logloss:0.00739 166s [9] validation_0-logloss:0.00723 166s [10] validation_0-logloss:0.00706 166s [11] validation_0-logloss:0.00695 166s [12] validation_0-logloss:0.00688 166s [13] validation_0-logloss:0.00671 166s [14] validation_0-logloss:0.00662 166s [15] validation_0-logloss:0.00650 166s [16] validation_0-logloss:0.00637 166s [17] validation_0-logloss:0.00628 166s [18] validation_0-logloss:0.00623 166s [19] validation_0-logloss:0.00618 166s [20] validation_0-logloss:0.00614 166s [21] validation_0-logloss:0.00609 166s [22] validation_0-logloss:0.00600 166s [23] validation_0-logloss:0.00590 166s [24] validation_0-logloss:0.00582 166s [25] validation_0-logloss:0.00578 166s [26] validation_0-logloss:0.00570 166s [27] validation_0-logloss:0.00566 166s [28] validation_0-logloss:0.00563 166s [29] validation_0-logloss:0.00559 166s [30] validation_0-logloss:0.00556 166s [31] validation_0-logloss:0.00553 166s [32] validation_0-logloss:0.00549 166s [33] validation_0-logloss:0.00546 166s [34] validation_0-logloss:0.00543 166s [35] validation_0-logloss:0.00540 166s [36] validation_0-logloss:0.00537 166s [37] validation_0-logloss:0.00534 166s [38] validation_0-logloss:0.00531 166s [39] validation_0-logloss:0.00528 166s [40] validation_0-logloss:0.00525 166s [41] validation_0-logloss:0.00523 166s [42] validation_0-logloss:0.00520 166s [43] validation_0-logloss:0.00517 166s [44] validation_0-logloss:0.00515 166s [45] validation_0-logloss:0.00512 166s [46] validation_0-logloss:0.00510 166s [47] validation_0-logloss:0.00507 166s [48] validation_0-logloss:0.00505 166s [49] validation_0-logloss:0.00502 166s [50] validation_0-logloss:0.00500 166s [51] validation_0-logloss:0.00498 166s [52] validation_0-logloss:0.00496 166s [53] validation_0-logloss:0.00493 166s [54] validation_0-logloss:0.00491 166s [55] validation_0-logloss:0.00489 166s [56] validation_0-logloss:0.00486 166s [57] validation_0-logloss:0.00484 166s [58] validation_0-logloss:0.00482 166s [59] validation_0-logloss:0.00480 166s [60] validation_0-logloss:0.00478 166s [61] validation_0-logloss:0.00476 166s [62] validation_0-logloss:0.00474 166s [63] validation_0-logloss:0.00472 166s [64] validation_0-logloss:0.00470 166s [65] validation_0-logloss:0.00468 166s [66] validation_0-logloss:0.00466 166s [67] validation_0-logloss:0.00464 166s [68] validation_0-logloss:0.00463 166s [69] validation_0-logloss:0.00461 166s [70] validation_0-logloss:0.00459 166s [71] validation_0-logloss:0.00457 166s [72] validation_0-logloss:0.00456 166s [73] validation_0-logloss:0.00454 166s [74] validation_0-logloss:0.00452 166s [75] validation_0-logloss:0.00451 166s [76] validation_0-logloss:0.00449 166s [77] validation_0-logloss:0.00448 166s [78] validation_0-logloss:0.00446 166s [79] validation_0-logloss:0.00444 166s [80] validation_0-logloss:0.00443 166s [81] validation_0-logloss:0.00441 166s [82] validation_0-logloss:0.00440 166s [83] validation_0-logloss:0.00438 166s [84] validation_0-logloss:0.00437 166s [85] validation_0-logloss:0.00435 166s [86] validation_0-logloss:0.00434 166s [87] validation_0-logloss:0.00433 166s [88] validation_0-logloss:0.00431 166s [89] validation_0-logloss:0.00430 166s [90] validation_0-logloss:0.00429 166s [91] validation_0-logloss:0.00427 166s [92] validation_0-logloss:0.00426 166s [93] validation_0-logloss:0.00425 166s [94] validation_0-logloss:0.00423 166s [95] validation_0-logloss:0.00422 166s Total boosted rounds: 128 166s [0] validation_0-logloss:0.43281 166s [1] validation_0-logloss:0.30816 166s [2] validation_0-logloss:0.22816 166s [3] validation_0-logloss:0.17470 166s [4] validation_0-logloss:0.13438 166s [5] validation_0-logloss:0.10538 166s [6] validation_0-logloss:0.08467 166s [7] validation_0-logloss:0.06909 166s [8] validation_0-logloss:0.05766 166s [9] validation_0-logloss:0.04842 166s [10] validation_0-logloss:0.04121 166s [11] validation_0-logloss:0.03545 166s [12] validation_0-logloss:0.03077 166s [13] validation_0-logloss:0.02742 166s [14] validation_0-logloss:0.02444 166s [15] validation_0-logloss:0.02208 166s [16] validation_0-logloss:0.01993 166s [17] validation_0-logloss:0.01819 166s [18] validation_0-logloss:0.01676 166s [19] validation_0-logloss:0.01575 166s [20] validation_0-logloss:0.01461 166s [21] validation_0-logloss:0.01383 166s [22] validation_0-logloss:0.01304 166s [23] validation_0-logloss:0.01243 166s [24] validation_0-logloss:0.01179 166s [25] validation_0-logloss:0.01142 166s [26] validation_0-logloss:0.01103 166s [27] validation_0-logloss:0.01066 166s [28] validation_0-logloss:0.01037 166s [29] validation_0-logloss:0.00993 166s [30] validation_0-logloss:0.00966 166s [31] validation_0-logloss:0.00920 166s [32] validation_0-logloss:0.00900 166s [33] validation_0-logloss:0.00876 166s [34] validation_0-logloss:0.00852 166s [35] validation_0-logloss:0.00835 166s [36] validation_0-logloss:0.00810 166s [37] validation_0-logloss:0.00791 166s [38] validation_0-logloss:0.00764 166s [39] validation_0-logloss:0.00753 166s [40] validation_0-logloss:0.00739 166s [41] validation_0-logloss:0.00723 166s [42] validation_0-logloss:0.00706 166s [43] validation_0-logloss:0.00695 166s [44] validation_0-logloss:0.00688 166s [45] validation_0-logloss:0.00671 166s [46] validation_0-logloss:0.00662 166s [47] validation_0-logloss:0.00650 166s [48] validation_0-logloss:0.00637 166s [49] validation_0-logloss:0.00628 166s [50] validation_0-logloss:0.00623 166s [51] validation_0-logloss:0.00618 166s [52] validation_0-logloss:0.00614 166s [53] validation_0-logloss:0.00609 166s [54] validation_0-logloss:0.00600 166s [55] validation_0-logloss:0.00590 166s [56] validation_0-logloss:0.00582 166s [57] validation_0-logloss:0.00578 166s [58] validation_0-logloss:0.00570 166s [59] validation_0-logloss:0.00566 166s [60] validation_0-logloss:0.00563 166s [61] validation_0-logloss:0.00559 166s [62] validation_0-logloss:0.00556 166s [63] validation_0-logloss:0.00553 166s [64] validation_0-logloss:0.00549 166s [65] validation_0-logloss:0.00546 166s [66] validation_0-logloss:0.00543 166s [67] validation_0-logloss:0.00540 166s [68] validation_0-logloss:0.00537 166s [69] validation_0-logloss:0.00534 166s [70] validation_0-logloss:0.00531 166s [71] validation_0-logloss:0.00528 166s [72] validation_0-logloss:0.00525 166s [73] validation_0-logloss:0.00523 166s [74] validation_0-logloss:0.00520 166s [75] validation_0-logloss:0.00517 166s [76] validation_0-logloss:0.00515 166s [77] validation_0-logloss:0.00512 166s [78] validation_0-logloss:0.00510 166s [79] validation_0-logloss:0.00507 166s [80] validation_0-logloss:0.00505 166s [81] validation_0-logloss:0.00502 166s [82] validation_0-logloss:0.00500 166s [83] validation_0-logloss:0.00498 166s [84] validation_0-logloss:0.00496 166s [85] validation_0-logloss:0.00493 166s [86] validation_0-logloss:0.00491 166s [87] validation_0-logloss:0.00489 166s [88] validation_0-logloss:0.00486 166s [89] validation_0-logloss:0.00484 166s [90] validation_0-logloss:0.00482 166s [91] validation_0-logloss:0.00480 166s [92] validation_0-logloss:0.00478 166s [93] validation_0-logloss:0.00476 166s [94] validation_0-logloss:0.00474 166s [95] validation_0-logloss:0.00472 166s [96] validation_0-logloss:0.00470 166s [97] validation_0-logloss:0.00468 166s [98] validation_0-logloss:0.00466 166s [99] validation_0-logloss:0.00464 166s [100] validation_0-logloss:0.00463 166s [101] validation_0-logloss:0.00461 166s [102] validation_0-logloss:0.00459 166s [103] validation_0-logloss:0.00457 166s [104] validation_0-logloss:0.00456 166s [105] validation_0-logloss:0.00454 166s [106] validation_0-logloss:0.00452 166s [107] validation_0-logloss:0.00451 166s [108] validation_0-logloss:0.00449 166s [109] validation_0-logloss:0.00448 166s [110] validation_0-logloss:0.00446 166s [111] validation_0-logloss:0.00444 166s [112] validation_0-logloss:0.00443 166s [113] validation_0-logloss:0.00441 166s [114] validation_0-logloss:0.00440 166s [115] validation_0-logloss:0.00438 166s [116] validation_0-logloss:0.00437 166s [117] validation_0-logloss:0.00435 166s [118] validation_0-logloss:0.00434 166s [119] validation_0-logloss:0.00433 166s [120] validation_0-logloss:0.00431 166s [121] validation_0-logloss:0.00430 166s [122] validation_0-logloss:0.00429 166s [123] validation_0-logloss:0.00427 166s [124] validation_0-logloss:0.00426 166s [125] validation_0-logloss:0.00425 166s [126] validation_0-logloss:0.00423 166s [127] validation_0-logloss:0.00422 166s Total boosted rounds: 128 166s [0] validation_0-logloss:0.43281 166s [1] validation_0-logloss:0.30816 166s [2] validation_0-logloss:0.22816 166s [3] validation_0-logloss:0.17470 166s [4] validation_0-logloss:0.13438 166s [5] validation_0-logloss:0.10538 166s [6] validation_0-logloss:0.08467 166s [7] validation_0-logloss:0.06909 166s [8] validation_0-logloss:0.05766 166s [9] validation_0-logloss:0.04842 166s [10] validation_0-logloss:0.04121 166s [11] validation_0-logloss:0.03545 166s [12] validation_0-logloss:0.03077 166s [13] validation_0-logloss:0.02742 166s [14] validation_0-logloss:0.02444 166s [15] validation_0-logloss:0.02208 166s [16] validation_0-logloss:0.01993 166s [17] validation_0-logloss:0.01819 166s [18] validation_0-logloss:0.01676 166s [19] validation_0-logloss:0.01575 166s [20] validation_0-logloss:0.01461 166s [21] validation_0-logloss:0.01383 166s [22] validation_0-logloss:0.01304 166s [23] validation_0-logloss:0.01243 166s [24] validation_0-logloss:0.01179 166s [25] validation_0-logloss:0.01142 166s [26] validation_0-logloss:0.01103 166s [27] validation_0-logloss:0.01066 166s [28] validation_0-logloss:0.01037 166s [29] validation_0-logloss:0.00993 166s [30] validation_0-logloss:0.00966 166s [31] validation_0-logloss:0.00920 166s [0] validation_0-logloss:0.00900 166s [1] validation_0-logloss:0.00876 166s [2] validation_0-logloss:0.00852 166s [3] validation_0-logloss:0.00835 166s [4] validation_0-logloss:0.00810 166s [5] validation_0-logloss:0.00791 166s [6] validation_0-logloss:0.00764 166s [7] validation_0-logloss:0.00753 166s [8] validation_0-logloss:0.00739 166s [9] validation_0-logloss:0.00723 166s [10] validation_0-logloss:0.00706 166s [11] validation_0-logloss:0.00695 166s [12] validation_0-logloss:0.00688 166s [13] validation_0-logloss:0.00671 166s [14] validation_0-logloss:0.00662 166s [15] validation_0-logloss:0.00650 166s [16] validation_0-logloss:0.00637 166s [17] validation_0-logloss:0.00628 166s [18] validation_0-logloss:0.00623 166s [19] validation_0-logloss:0.00618 166s [20] validation_0-logloss:0.00614 166s [21] validation_0-logloss:0.00609 166s [22] validation_0-logloss:0.00600 166s [23] validation_0-logloss:0.00590 166s [24] validation_0-logloss:0.00582 166s [25] validation_0-logloss:0.00578 166s [26] validation_0-logloss:0.00570 166s [27] validation_0-logloss:0.00566 166s [28] validation_0-logloss:0.00563 166s [29] validation_0-logloss:0.00559 166s [30] validation_0-logloss:0.00556 166s [31] validation_0-logloss:0.00553 166s [32] validation_0-logloss:0.00549 166s [33] validation_0-logloss:0.00546 166s [34] validation_0-logloss:0.00543 166s [35] validation_0-logloss:0.00540 166s [36] validation_0-logloss:0.00537 166s [37] validation_0-logloss:0.00534 166s [38] validation_0-logloss:0.00531 166s [39] validation_0-logloss:0.00528 166s [40] validation_0-logloss:0.00525 166s [41] validation_0-logloss:0.00523 166s [42] validation_0-logloss:0.00520 166s [43] validation_0-logloss:0.00517 166s [44] validation_0-logloss:0.00515 166s [45] validation_0-logloss:0.00512 166s [46] validation_0-logloss:0.00510 166s [47] validation_0-logloss:0.00507 166s [48] validation_0-logloss:0.00505 166s [49] validation_0-logloss:0.00502 166s [50] validation_0-logloss:0.00500 166s [51] validation_0-logloss:0.00498 166s [52] validation_0-logloss:0.00496 166s [53] validation_0-logloss:0.00493 166s [54] validation_0-logloss:0.00491 166s [55] validation_0-logloss:0.00489 166s [56] validation_0-logloss:0.00486 166s [57] validation_0-logloss:0.00484 166s [58] validation_0-logloss:0.00482 166s [59] validation_0-logloss:0.00480 166s [60] validation_0-logloss:0.00478 166s [61] validation_0-logloss:0.00476 166s [62] validation_0-logloss:0.00474 166s [63] validation_0-logloss:0.00472 166s [64] validation_0-logloss:0.00470 166s [65] validation_0-logloss:0.00468 166s [66] validation_0-logloss:0.00466 166s [67] validation_0-logloss:0.00464 166s [68] validation_0-logloss:0.00463 166s [69] validation_0-logloss:0.00461 166s [70] validation_0-logloss:0.00459 166s [71] validation_0-logloss:0.00457 166s [72] validation_0-logloss:0.00456 166s [73] validation_0-logloss:0.00454 166s [74] validation_0-logloss:0.00452 166s [75] validation_0-logloss:0.00451 166s [76] validation_0-logloss:0.00449 166s [77] validation_0-logloss:0.00448 166s [78] validation_0-logloss:0.00446 166s [79] validation_0-logloss:0.00444 166s [80] validation_0-logloss:0.00443 166s [81] validation_0-logloss:0.00441 166s [82] validation_0-logloss:0.00440 166s [83] validation_0-logloss:0.00438 166s [84] validation_0-logloss:0.00437 166s [85] validation_0-logloss:0.00435 166s [86] validation_0-logloss:0.00434 166s [87] validation_0-logloss:0.00433 166s [88] validation_0-logloss:0.00431 166s [89] validation_0-logloss:0.00430 166s [90] validation_0-logloss:0.00429 166s [91] validation_0-logloss:0.00427 166s [92] validation_0-logloss:0.00426 166s [93] validation_0-logloss:0.00425 166s [94] validation_0-logloss:0.00423 166s [95] validation_0-logloss:0.00422 166s Total boosted rounds: 128 166s ========================================== 166s Running case cross_validation.py... 167s running cross validation 167s [0] train-error:0.05067+0.00920 test-error:0.05573+0.01589 167s [1] train-error:0.02130+0.00206 test-error:0.02119+0.00365 167s running cross validation, disable standard deviation display 167s [0] train-error:0.05067 test-error:0.05573 167s [1] train-error:0.02130 test-error:0.02119 167s [2] train-error:0.00994 test-error:0.00998 167s [3] train-error:0.01413 test-error:0.01443 167s [4] train-error:0.00599 test-error:0.00630 167s [5] train-error:0.00203 test-error:0.00169 167s [6] train-error:0.00123 test-error:0.00123 167s [7] train-error:0.00123 test-error:0.00123 167s [8] train-error:0.00092 test-error:0.00123 167s [9] train-error:0.00061 test-error:0.00123 167s /usr/lib/python3/dist-packages/xgboost/training.py:38: UserWarning: `feval` is deprecated, use `custom_metric` instead. They have different behavior when custom objective is also used.See https://xgboost.readthedocs.io/en/latest/tutorials/custom_metric_obj.html for details on the `custom_metric`. 167s warnings.warn( 167s train-error-mean train-error-std test-error-mean test-error-std 167s 0 0.050668 0.009201 0.055732 0.015889 167s 1 0.021303 0.002055 0.021188 0.003653 167s 2 0.009942 0.006076 0.009979 0.004828 167s 3 0.014126 0.001706 0.014433 0.003517 167s 4 0.005988 0.001878 0.006295 0.003123 167s 5 0.002034 0.001469 0.001689 0.000574 167s 6 0.001228 0.000260 0.001228 0.001041 167s running cross validation, with preprocessing function 167s running cross validation, with customized loss function 167s ========================================== 167s Running case custom_rmsle.py... 167s /tmp/autopkgtest.1Huhxo/build.Ov3/src/demo/guide-python/custom_rmsle.py:139: SyntaxWarning: invalid escape sequence '\s' 167s :math:`\sqrt{\frac{1}{N}[log(pred + 1) - log(label + 1)]^2}` 168s Squared Error 168s [0] dtrain-rmse:682.95908 dtest-rmse:745.95555 168s [1] dtrain-rmse:627.66199 dtest-rmse:751.49583 168s [2] dtrain-rmse:596.74396 dtest-rmse:766.33054 168s [3] dtrain-rmse:555.92371 dtest-rmse:776.92703 168s [4] dtrain-rmse:519.58613 dtest-rmse:789.74145 168s [5] dtrain-rmse:501.26007 dtest-rmse:805.22881 168s [6] dtrain-rmse:453.81757 dtest-rmse:810.70817 168s [7] dtrain-rmse:423.51474 dtest-rmse:822.61798 168s [8] dtrain-rmse:383.34479 dtest-rmse:826.43243 168s [9] dtrain-rmse:371.08179 dtest-rmse:827.23674 168s [10] dtrain-rmse:353.11776 dtest-rmse:828.84174 168s [11] dtrain-rmse:316.42149 dtest-rmse:832.98904 168s [12] dtrain-rmse:300.24359 dtest-rmse:834.90637 168s [13] dtrain-rmse:285.81935 dtest-rmse:836.55001 168s [14] dtrain-rmse:278.47432 dtest-rmse:838.29965 168s [15] dtrain-rmse:266.08310 dtest-rmse:840.16158 168s [16] dtrain-rmse:261.48875 dtest-rmse:841.45332 168s [17] dtrain-rmse:253.15765 dtest-rmse:841.96773 168s [18] dtrain-rmse:246.41335 dtest-rmse:842.26433 168s [19] dtrain-rmse:242.90377 dtest-rmse:843.24280 168s Finished Squared Error in: 0.04010128974914551 168s 168s Squared Log Error 168s [0] dtrain-rmsle:1.31939 dtest-rmsle:1.26056 168s [1] dtrain-rmsle:1.22093 dtest-rmsle:1.16061 168s [2] dtrain-rmsle:1.13670 dtest-rmsle:1.07549 168s [3] dtrain-rmsle:1.06691 dtest-rmsle:1.00568 168s [4] dtrain-rmsle:1.01079 dtest-rmsle:0.95190 168s [5] dtrain-rmsle:0.96709 dtest-rmsle:0.91206 168s [6] dtrain-rmsle:0.93453 dtest-rmsle:0.88458 168s [7] dtrain-rmsle:0.90925 dtest-rmsle:0.86580 168s [8] dtrain-rmsle:0.89139 dtest-rmsle:0.85326 168s [9] dtrain-rmsle:0.87620 dtest-rmsle:0.84621 168s [10] dtrain-rmsle:0.86538 dtest-rmsle:0.84136 168s [11] dtrain-rmsle:0.85715 dtest-rmsle:0.83849 168s [12] dtrain-rmsle:0.84866 dtest-rmsle:0.83767 168s [13] dtrain-rmsle:0.84230 dtest-rmsle:0.83693 168s [14] dtrain-rmsle:0.83639 dtest-rmsle:0.83785 168s [15] dtrain-rmsle:0.83076 dtest-rmsle:0.83853 168s [16] dtrain-rmsle:0.82671 dtest-rmsle:0.83887 168s [17] dtrain-rmsle:0.82297 dtest-rmsle:0.83883 168s [18] dtrain-rmsle:0.81919 dtest-rmsle:0.83945 168s [19] dtrain-rmsle:0.81638 dtest-rmsle:0.83981 168s Finished Squared Log Error in: 0.03026604652404785 168s [0] dtrain-PyRMSLE:1.37154 dtest-PyRMSLE:1.31491 168s [1] dtrain-PyRMSLE:1.26642 dtest-PyRMSLE:1.20792 168s [2] dtrain-PyRMSLE:1.17525 dtest-PyRMSLE:1.11539 168s [3] dtrain-PyRMSLE:1.09848 dtest-PyRMSLE:1.03800 168s [4] dtrain-PyRMSLE:1.03565 dtest-PyRMSLE:0.97673 168s [5] dtrain-PyRMSLE:0.98595 dtest-PyRMSLE:0.93063 168s [6] dtrain-PyRMSLE:0.94774 dtest-PyRMSLE:0.89723 168s [7] dtrain-PyRMSLE:0.91977 dtest-PyRMSLE:0.87448 168s [8] dtrain-PyRMSLE:0.89796 dtest-PyRMSLE:0.85932 168s [9] dtrain-PyRMSLE:0.88141 dtest-PyRMSLE:0.85028 168s [10] dtrain-PyRMSLE:0.86816 dtest-PyRMSLE:0.84450 168s [11] dtrain-PyRMSLE:0.85991 dtest-PyRMSLE:0.84015 168s [12] dtrain-PyRMSLE:0.85120 dtest-PyRMSLE:0.83900 168s [13] dtrain-PyRMSLE:0.84384 dtest-PyRMSLE:0.83775 168s [14] dtrain-PyRMSLE:0.83741 dtest-PyRMSLE:0.83732 168s [15] dtrain-PyRMSLE:0.83253 dtest-PyRMSLE:0.83800 168s [16] dtrain-PyRMSLE:0.82842 dtest-PyRMSLE:0.83827 168s [17] dtrain-PyRMSLE:0.82535 dtest-PyRMSLE:0.83844 168s [18] dtrain-PyRMSLE:0.82169 dtest-PyRMSLE:0.83953 168s [19] dtrain-PyRMSLE:0.81857 dtest-PyRMSLE:0.84046 168s ========================================== 168s Running case custom_softmax.py... 169s /tmp/autopkgtest.1Huhxo/build.Ov3/src/demo/guide-python/custom_softmax.py:76: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) 169s grad[r, c] = g 169s [0] train-PyMError:0.14000 169s [1] train-PyMError:0.00000 169s [2] train-PyMError:0.01000 169s [3] train-PyMError:0.00000 169s [4] train-PyMError:0.00000 169s [5] train-PyMError:0.00000 169s [6] train-PyMError:0.00000 169s [7] train-PyMError:0.00000 169s [8] train-PyMError:0.00000 169s [9] train-PyMError:0.00000 169s [0] train-merror:0.14000 169s [1] train-merror:0.00000 169s [2] train-merror:0.01000 169s [3] train-merror:0.00000 169s [4] train-merror:0.00000 169s [5] train-merror:0.00000 169s [6] train-merror:0.00000 169s [7] train-merror:0.00000 169s [8] train-merror:0.00000 169s [9] train-merror:0.00000 169s ========================================== 169s Running case evals_result.py... 170s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 170s warnings.warn(msg, FutureWarning) 170s [0] eval-logloss:0.47977 eval-error:0.04283 train-logloss:0.48196 train-error:0.04652 170s [1] eval-logloss:0.35740 eval-error:0.04283 train-logloss:0.35919 train-error:0.04652 170s Access logloss metric directly from evals_result: 170s [0.4797663698279288, 0.35739665886839306] 170s 170s Access metrics through a loop: 170s - eval 170s - logloss 170s - [0.4797663698279288, 0.35739665886839306] 170s - error 170s - [0.04283054003724395, 0.04283054003724395] 170s - train 170s - logloss 170s - [0.4819583435789261, 0.35919429156594646] 170s - error 170s - [0.04652233993551359, 0.04652233993551359] 170s 170s Access complete dictionary: 170s {'eval': OrderedDict({'logloss': [0.4797663698279288, 0.35739665886839306], 'error': [0.04283054003724395, 0.04283054003724395]}), 'train': OrderedDict({'logloss': [0.4819583435789261, 0.35919429156594646], 'error': [0.04652233993551359, 0.04652233993551359]})} 170s ========================================== 170s Running case external_memory.py... 170s [0] Train-rmse:170.67905 170s [1] Train-rmse:166.88130 170s [2] Train-rmse:163.67251 170s [3] Train-rmse:160.83024 170s [4] Train-rmse:158.26351 170s [5] Train-rmse:155.91569 170s [6] Train-rmse:153.74380 170s [7] Train-rmse:151.74583 170s [8] Train-rmse:149.92400 170s [9] Train-rmse:148.14658 170s ========================================== 170s Running case feature_weights.py... 171s [0] d-rmse:1.00430 171s [1] d-rmse:0.99638 171s [2] d-rmse:0.98161 171s [3] d-rmse:0.97086 171s [4] d-rmse:0.96269 171s [5] d-rmse:0.94829 171s [6] d-rmse:0.93914 171s [7] d-rmse:0.93187 171s [8] d-rmse:0.92274 171s [9] d-rmse:0.91749 171s ========================================== 171s Skip case gamma_regression.py... 171s ========================================== 171s Running case generalized_linear_model.py... 172s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 172s warnings.warn(msg, FutureWarning) 172s [0] eval-logloss:0.57140 train-logloss:0.56882 172s [1] eval-logloss:0.53001 train-logloss:0.52642 172s [2] eval-logloss:0.51433 train-logloss:0.51035 172s [3] eval-logloss:0.50821 train-logloss:0.50407 172s error=0.119181 172s ========================================== 172s Running case individual_trees.py... 173s ========================================== 173s Skip case learning_to_rank.py... 173s ========================================== 173s Running case multioutput_regression.py... 173s [0] validation_0-rmse:0.29417 173s [1] validation_0-rmse:0.26360 173s [2] validation_0-rmse:0.23619 173s [3] validation_0-rmse:0.22068 173s [4] validation_0-rmse:0.20681 173s [5] validation_0-rmse:0.19295 173s [6] validation_0-rmse:0.17849 173s [7] validation_0-rmse:0.16562 173s [8] validation_0-rmse:0.15492 173s [9] validation_0-rmse:0.14493 173s [10] validation_0-rmse:0.13892 173s [11] validation_0-rmse:0.13172 173s [12] validation_0-rmse:0.12253 173s [13] validation_0-rmse:0.11744 173s [14] validation_0-rmse:0.10981 173s [15] validation_0-rmse:0.10176 173s [16] validation_0-rmse:0.09476 173s [17] 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validation_0-rmse:0.00093 174s [110] validation_0-rmse:0.00091 174s [111] validation_0-rmse:0.00087 174s [112] validation_0-rmse:0.00086 174s [113] validation_0-rmse:0.00084 174s [114] validation_0-rmse:0.00084 174s [115] validation_0-rmse:0.00083 174s [116] validation_0-rmse:0.00083 174s [117] validation_0-rmse:0.00082 174s [118] validation_0-rmse:0.00082 174s [119] validation_0-rmse:0.00081 174s [120] validation_0-rmse:0.00080 174s [121] validation_0-rmse:0.00079 174s [122] validation_0-rmse:0.00079 174s [123] validation_0-rmse:0.00078 174s [124] validation_0-rmse:0.00078 174s [125] validation_0-rmse:0.00077 174s [126] validation_0-rmse:0.00077 174s [127] validation_0-rmse:0.00076 174s [0] Train-rmse:0.28597 Train-PyRMSE:4.04424 174s [1] Train-rmse:0.25494 Train-PyRMSE:3.60534 174s [2] Train-rmse:0.23359 Train-PyRMSE:3.30341 174s [3] Train-rmse:0.21640 Train-PyRMSE:3.06038 174s [4] Train-rmse:0.20574 Train-PyRMSE:2.90962 174s [5] Train-rmse:0.19311 Train-PyRMSE:2.73098 174s [6] 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Train-PyRMSE:0.91694 174s [38] Train-rmse:0.06165 Train-PyRMSE:0.87181 174s [39] Train-rmse:0.05937 Train-PyRMSE:0.83965 174s [40] Train-rmse:0.05873 Train-PyRMSE:0.83051 174s [41] Train-rmse:0.05667 Train-PyRMSE:0.80140 174s [42] Train-rmse:0.05596 Train-PyRMSE:0.79141 174s [43] Train-rmse:0.05416 Train-PyRMSE:0.76589 174s [44] Train-rmse:0.05299 Train-PyRMSE:0.74934 174s [45] Train-rmse:0.05052 Train-PyRMSE:0.71453 174s [46] Train-rmse:0.04922 Train-PyRMSE:0.69609 174s [47] Train-rmse:0.04883 Train-PyRMSE:0.69062 174s [48] Train-rmse:0.04610 Train-PyRMSE:0.65199 174s [49] Train-rmse:0.04417 Train-PyRMSE:0.62469 174s [50] Train-rmse:0.04190 Train-PyRMSE:0.59254 174s [51] Train-rmse:0.04114 Train-PyRMSE:0.58181 174s [52] Train-rmse:0.03957 Train-PyRMSE:0.55954 174s [53] Train-rmse:0.03922 Train-PyRMSE:0.55469 174s [54] Train-rmse:0.03852 Train-PyRMSE:0.54478 174s [55] Train-rmse:0.03717 Train-PyRMSE:0.52562 174s [56] Train-rmse:0.03584 Train-PyRMSE:0.50680 174s [57] Train-rmse:0.03429 Train-PyRMSE:0.48498 174s [58] Train-rmse:0.03400 Train-PyRMSE:0.48083 174s [59] Train-rmse:0.03295 Train-PyRMSE:0.46597 174s [60] Train-rmse:0.03237 Train-PyRMSE:0.45775 174s [61] Train-rmse:0.03091 Train-PyRMSE:0.43707 174s [62] Train-rmse:0.02998 Train-PyRMSE:0.42399 174s [63] Train-rmse:0.02849 Train-PyRMSE:0.40286 174s [64] Train-rmse:0.02729 Train-PyRMSE:0.38595 174s [65] Train-rmse:0.02692 Train-PyRMSE:0.38069 174s [66] Train-rmse:0.02618 Train-PyRMSE:0.37018 174s [67] Train-rmse:0.02588 Train-PyRMSE:0.36600 174s [68] Train-rmse:0.02491 Train-PyRMSE:0.35229 174s [69] Train-rmse:0.02428 Train-PyRMSE:0.34344 174s [70] Train-rmse:0.02398 Train-PyRMSE:0.33907 174s [71] Train-rmse:0.02309 Train-PyRMSE:0.32650 174s [72] Train-rmse:0.02219 Train-PyRMSE:0.31381 174s [73] Train-rmse:0.02094 Train-PyRMSE:0.29616 174s [74] Train-rmse:0.02079 Train-PyRMSE:0.29398 174s [75] Train-rmse:0.02028 Train-PyRMSE:0.28685 174s [76] Train-rmse:0.01931 Train-PyRMSE:0.27311 174s [77] Train-rmse:0.01919 Train-PyRMSE:0.27140 174s [78] Train-rmse:0.01862 Train-PyRMSE:0.26336 174s [79] Train-rmse:0.01743 Train-PyRMSE:0.24652 174s [80] Train-rmse:0.01699 Train-PyRMSE:0.24033 174s [81] Train-rmse:0.01644 Train-PyRMSE:0.23256 174s [82] Train-rmse:0.01565 Train-PyRMSE:0.22127 174s [83] Train-rmse:0.01526 Train-PyRMSE:0.21582 174s [84] Train-rmse:0.01503 Train-PyRMSE:0.21258 174s [85] Train-rmse:0.01450 Train-PyRMSE:0.20508 174s [86] Train-rmse:0.01410 Train-PyRMSE:0.19936 174s [87] Train-rmse:0.01349 Train-PyRMSE:0.19080 174s [88] Train-rmse:0.01288 Train-PyRMSE:0.18211 174s [89] Train-rmse:0.01278 Train-PyRMSE:0.18071 174s [90] Train-rmse:0.01220 Train-PyRMSE:0.17252 174s [91] Train-rmse:0.01179 Train-PyRMSE:0.16679 174s [92] Train-rmse:0.01166 Train-PyRMSE:0.16490 174s [93] Train-rmse:0.01132 Train-PyRMSE:0.16008 174s [94] Train-rmse:0.01088 Train-PyRMSE:0.15388 174s [95] Train-rmse:0.01060 Train-PyRMSE:0.14993 174s [96] Train-rmse:0.01006 Train-PyRMSE:0.14229 174s [97] Train-rmse:0.00998 Train-PyRMSE:0.14109 174s [98] Train-rmse:0.00954 Train-PyRMSE:0.13496 174s [99] Train-rmse:0.00948 Train-PyRMSE:0.13406 174s [100] Train-rmse:0.00926 Train-PyRMSE:0.13098 174s [101] Train-rmse:0.00901 Train-PyRMSE:0.12747 174s [102] Train-rmse:0.00885 Train-PyRMSE:0.12510 174s [103] Train-rmse:0.00847 Train-PyRMSE:0.11979 174s [104] Train-rmse:0.00833 Train-PyRMSE:0.11784 174s [105] Train-rmse:0.00791 Train-PyRMSE:0.11187 174s [106] Train-rmse:0.00787 Train-PyRMSE:0.11125 174s [107] Train-rmse:0.00755 Train-PyRMSE:0.10682 174s [108] Train-rmse:0.00724 Train-PyRMSE:0.10245 174s [109] Train-rmse:0.00705 Train-PyRMSE:0.09976 174s [110] Train-rmse:0.00683 Train-PyRMSE:0.09662 174s [111] Train-rmse:0.00656 Train-PyRMSE:0.09274 174s [112] Train-rmse:0.00641 Train-PyRMSE:0.09058 174s [113] Train-rmse:0.00631 Train-PyRMSE:0.08921 174s [114] Train-rmse:0.00606 Train-PyRMSE:0.08569 174s [115] Train-rmse:0.00583 Train-PyRMSE:0.08241 174s [116] Train-rmse:0.00578 Train-PyRMSE:0.08175 174s [117] Train-rmse:0.00562 Train-PyRMSE:0.07946 174s [118] Train-rmse:0.00553 Train-PyRMSE:0.07818 174s [119] Train-rmse:0.00533 Train-PyRMSE:0.07539 174s [120] Train-rmse:0.00514 Train-PyRMSE:0.07262 174s [121] Train-rmse:0.00510 Train-PyRMSE:0.07211 174s [122] Train-rmse:0.00501 Train-PyRMSE:0.07088 174s [123] Train-rmse:0.00489 Train-PyRMSE:0.06912 174s [124] Train-rmse:0.00475 Train-PyRMSE:0.06722 174s [125] Train-rmse:0.00473 Train-PyRMSE:0.06690 174s [126] Train-rmse:0.00467 Train-PyRMSE:0.06603 174s [127] Train-rmse:0.00443 Train-PyRMSE:0.06259 174s ========================================== 174s Running case predict_first_ntree.py... 174s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 174s warnings.warn(msg, FutureWarning) 174s [0] eval-logloss:0.22646 train-logloss:0.23316 174s [1] eval-logloss:0.13776 train-logloss:0.13654 174s [2] eval-logloss:0.08036 train-logloss:0.08243 174s start testing prediction from first n trees 174s error of ypred1=0.042831 174s error of ypred2=0.006207 174s [0] validation_0-logloss:0.22646 174s [1] validation_0-logloss:0.13776 174s [2] validation_0-logloss:0.08036 174s start testing prediction from first n trees 174s error of ypred1=0.042831 174s error of ypred2=0.006207 175s ========================================== 175s Running case predict_leaf_indices.py... 175s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 175s warnings.warn(msg, FutureWarning) 175s [0] eval-logloss:0.22646 train-logloss:0.23316 175s [1] eval-logloss:0.13776 train-logloss:0.13654 175s [2] eval-logloss:0.08036 train-logloss:0.08243 175s start testing predict the leaf indices 175s (1611, 2, 1, 1) 175s [[[[5.]] 175s 175s [[4.]]] 175s 175s 175s [[[6.]] 175s 175s [[4.]]] 175s 175s 175s [[[5.]] 175s 175s [[4.]]] 175s 175s 175s ... 175s 175s 175s [[[6.]] 175s 175s [[4.]]] 175s 175s 175s [[[4.]] 175s 175s [[3.]]] 175s 175s 175s [[[6.]] 175s 175s [[4.]]]] 175s (1611, 3) 175s ========================================== 175s Skip case quantile_data_iterator.py... 175s ========================================== 175s Running case quantile_regression.py... 176s [0] Train-quantile:1.50159 Test-quantile:1.45489 176s [1] Train-quantile:1.41395 Test-quantile:1.36960 176s [2] Train-quantile:1.33178 Test-quantile:1.28702 176s [3] Train-quantile:1.25429 Test-quantile:1.21133 176s [4] Train-quantile:1.18373 Test-quantile:1.13959 176s [5] Train-quantile:1.11898 Test-quantile:1.07261 176s [6] Train-quantile:1.05770 Test-quantile:1.01264 176s [7] Train-quantile:1.00142 Test-quantile:0.96139 176s [8] Train-quantile:0.94844 Test-quantile:0.91339 176s [9] Train-quantile:0.89917 Test-quantile:0.86934 176s [10] Train-quantile:0.85692 Test-quantile:0.82830 176s [11] Train-quantile:0.81823 Test-quantile:0.79270 176s [12] Train-quantile:0.78400 Test-quantile:0.75817 176s [13] Train-quantile:0.75333 Test-quantile:0.72983 176s [14] Train-quantile:0.72555 Test-quantile:0.70335 176s [15] Train-quantile:0.69885 Test-quantile:0.67960 176s [16] Train-quantile:0.67482 Test-quantile:0.65947 176s [17] Train-quantile:0.65359 Test-quantile:0.64055 176s [18] Train-quantile:0.63363 Test-quantile:0.62346 176s [19] Train-quantile:0.61495 Test-quantile:0.60855 176s [20] Train-quantile:0.59783 Test-quantile:0.59489 176s [21] Train-quantile:0.58197 Test-quantile:0.58130 176s [22] Train-quantile:0.56682 Test-quantile:0.56949 176s [23] Train-quantile:0.55237 Test-quantile:0.55744 176s [24] Train-quantile:0.53809 Test-quantile:0.54622 176s [25] Train-quantile:0.52441 Test-quantile:0.53571 176s [26] Train-quantile:0.51174 Test-quantile:0.52520 176s [27] Train-quantile:0.49974 Test-quantile:0.51546 176s [28] Train-quantile:0.48865 Test-quantile:0.50628 176s [29] Train-quantile:0.47833 Test-quantile:0.49784 176s [30] Train-quantile:0.46895 Test-quantile:0.48966 176s [31] Train-quantile:0.45900 Test-quantile:0.48302 176s [0] Train-rmse:4.32523 Test-rmse:4.63143 176s [1] Train-rmse:4.21367 Test-rmse:4.53399 176s [2] Train-rmse:4.10813 Test-rmse:4.44222 176s [3] Train-rmse:4.00795 Test-rmse:4.35559 176s [4] Train-rmse:3.91314 Test-rmse:4.27507 176s [5] Train-rmse:3.82342 Test-rmse:4.19994 176s [6] Train-rmse:3.73860 Test-rmse:4.12864 176s [7] Train-rmse:3.65855 Test-rmse:4.06333 176s [8] Train-rmse:3.58302 Test-rmse:3.99920 176s [9] Train-rmse:3.51166 Test-rmse:3.94100 176s [10] Train-rmse:3.44443 Test-rmse:3.88581 176s [11] Train-rmse:3.38085 Test-rmse:3.83491 176s [12] Train-rmse:3.32121 Test-rmse:3.78659 176s [13] Train-rmse:3.26491 Test-rmse:3.74137 176s [14] Train-rmse:3.21217 Test-rmse:3.69918 176s [15] Train-rmse:3.16233 Test-rmse:3.66047 176s [16] Train-rmse:3.11625 Test-rmse:3.62292 176s [17] Train-rmse:3.07250 Test-rmse:3.58980 176s [18] Train-rmse:3.03120 Test-rmse:3.55971 176s [19] Train-rmse:2.99260 Test-rmse:3.53039 176s [20] Train-rmse:2.95471 Test-rmse:3.50273 176s [21] Train-rmse:2.92082 Test-rmse:3.47765 176s [22] Train-rmse:2.88707 Test-rmse:3.45409 176s [23] Train-rmse:2.85719 Test-rmse:3.43196 176s [24] Train-rmse:2.82955 Test-rmse:3.41116 176s [25] Train-rmse:2.80145 Test-rmse:3.39262 176s [26] Train-rmse:2.77526 Test-rmse:3.37544 176s [27] Train-rmse:2.75237 Test-rmse:3.35703 176s [28] Train-rmse:2.73071 Test-rmse:3.34065 176s [29] Train-rmse:2.70895 Test-rmse:3.32714 176s [30] Train-rmse:2.69007 Test-rmse:3.31295 176s [31] Train-rmse:2.67125 Test-rmse:3.30119 176s ========================================== 176s Running case sklearn_evals_result.py... 176s [0] validation_0-logloss:0.63169 validation_1-logloss:0.65974 176s [1] validation_0-logloss:0.58449 validation_1-logloss:0.62161 176s Access logloss metric directly from validation_0: 176s [0.6316909282654524, 0.5844871088303626] 176s 176s Access metrics through a loop: 176s - validation_0 176s - logloss 176s - [0.6316909282654524, 0.5844871088303626] 176s - validation_1 176s - logloss 176s - [0.6597448766976595, 0.6216080508381129] 176s 176s Access complete dict: 176s {'validation_0': OrderedDict({'logloss': [0.6316909282654524, 0.5844871088303626]}), 'validation_1': OrderedDict({'logloss': [0.6597448766976595, 0.6216080508381129]})} 176s ========================================== 176s Running case sklearn_examples.py... 179s Zeros and Ones from the Digits dataset: binary classification 179s [[87 0] 179s [ 1 92]] 179s [[91 0] 179s [ 3 86]] 179s Iris: multiclass classification 179s [[19 0 0] 179s [ 1 31 2] 179s [ 0 3 19]] 179s [[31 0 0] 179s [ 0 16 0] 179s [ 0 1 27]] 179s California Housing: regression 179s 0.2310805601814026 179s 0.23533764411819863 179s Parameter optimization 179s Fitting 3 folds for each of 4 candidates, totalling 12 fits 179s 0.6838972456687431 179s {'max_depth': 4, 'n_estimators': 100} 179s Pickling sklearn API models 179s True 179s [0] validation_0-auc:0.99020 179s [1] validation_0-auc:0.99975 179s [2] validation_0-auc:0.99975 179s [3] validation_0-auc:0.99975 179s [4] validation_0-auc:0.99975 179s [5] validation_0-auc:0.99975 179s [6] validation_0-auc:1.00000 179s [7] validation_0-auc:1.00000 179s [8] validation_0-auc:1.00000 179s [9] validation_0-auc:1.00000 180s [10] validation_0-auc:1.00000 180s [11] validation_0-auc:1.00000 180s [12] validation_0-auc:1.00000 180s [13] validation_0-auc:1.00000 180s [14] validation_0-auc:1.00000 180s [15] validation_0-auc:1.00000 180s ========================================== 180s Running case sklearn_parallel.py... 180s Parallel Parameter optimization 180s Fitting 5 folds for each of 9 candidates, totalling 45 fits 185s 0.688555675183378 185s {'max_depth': 4, 'n_estimators': 50} 185s ========================================== 185s Skip case spark_estimator_examples.py... 185s ========================================== 185s Skip case update_process.py... 185s ========================================== 185s All cases passed. 185s /tmp/autopkgtest.1Huhxo/wrapper.sh: Killing leaked background processes: 2765 185s PID TTY STAT TIME COMMAND 185s 2765 ? R 0:00 /usr/bin/python3 -c from joblib.externals.loky.backend.resource_tracker import main; main(3, False) 185s autopkgtest [01:49:30]: test run-demos: -----------------------] 186s autopkgtest [01:49:31]: test run-demos: - - - - - - - - - - results - - - - - - - - - - 186s run-demos PASS 186s autopkgtest [01:49:31]: @@@@@@@@@@@@@@@@@@@@ summary 186s run-demos PASS 203s nova [W] Using flock in prodstack6-s390x 203s Creating nova instance adt-plucky-s390x-xgboost-20250316-014625-juju-7f2275-prod-proposed-migration-environment-20-3d7a0363-7802-4052-a8e7-5f3a5c035118 from image adt/ubuntu-plucky-s390x-server-20250315.img (UUID 3d3557fa-fd0f-4bba-9b89-8d5964e09f61)... 203s nova [W] Timed out waiting for 3dfc5028-4b76-47a8-a9f2-d36626f76254 to get deleted.