0s autopkgtest [17:49:31]: starting date and time: 2025-05-02 17:49:31+0000 0s autopkgtest [17:49:31]: git checkout: 9986aa8c Merge branch 'skia/fix_network_interface' into 'ubuntu/production' 0s autopkgtest [17:49:31]: host juju-7f2275-prod-proposed-migration-environment-15; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.1bjqtvnl/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:ca-certificates --apt-upgrade xgboost --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=ca-certificates/20250419 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor builder-cpu2-ram4-disk20 --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-15@bos03-10.secgroup --name adt-questing-amd64-xgboost-20250502-174931-juju-7f2275-prod-proposed-migration-environment-15-ebe94e50-0757-48ba-b47b-60f131d407cd --image adt/ubuntu-questing-amd64-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-15 --net-id=net_prod-proposed-migration-amd64 -e TERM=linux --mirror=http://ftpmaster.internal/ubuntu/ 57s autopkgtest [17:50:28]: testbed dpkg architecture: amd64 57s autopkgtest [17:50:28]: testbed apt version: 3.0.0 57s autopkgtest [17:50:28]: @@@@@@@@@@@@@@@@@@@@ test bed setup 58s autopkgtest [17:50:29]: testbed release detected to be: None 58s autopkgtest [17:50:29]: updating testbed package index (apt update) 59s Get:1 http://ftpmaster.internal/ubuntu questing-proposed InRelease [110 kB] 59s Hit:2 http://ftpmaster.internal/ubuntu questing InRelease 59s Hit:3 http://ftpmaster.internal/ubuntu questing-updates InRelease 59s Hit:4 http://ftpmaster.internal/ubuntu questing-security InRelease 59s Get:5 http://ftpmaster.internal/ubuntu questing-proposed/universe Sources [2005 kB] 59s Get:6 http://ftpmaster.internal/ubuntu questing-proposed/main Sources [170 kB] 59s Get:7 http://ftpmaster.internal/ubuntu questing-proposed/multiverse Sources [43.1 kB] 59s Get:8 http://ftpmaster.internal/ubuntu questing-proposed/main amd64 Packages [232 kB] 59s Get:9 http://ftpmaster.internal/ubuntu questing-proposed/main i386 Packages [176 kB] 59s Get:10 http://ftpmaster.internal/ubuntu questing-proposed/universe i386 Packages [696 kB] 59s Get:11 http://ftpmaster.internal/ubuntu questing-proposed/universe amd64 Packages [1562 kB] 59s Get:12 http://ftpmaster.internal/ubuntu questing-proposed/multiverse i386 Packages [13.8 kB] 59s Get:13 http://ftpmaster.internal/ubuntu questing-proposed/multiverse amd64 Packages [15.1 kB] 60s Fetched 5024 kB in 1s (3717 kB/s) 61s Reading package lists... 62s autopkgtest [17:50:33]: upgrading testbed (apt dist-upgrade and autopurge) 62s Reading package lists... 63s Building dependency tree... 63s Reading state information... 63s Calculating upgrade...Starting pkgProblemResolver with broken count: 0 63s Starting 2 pkgProblemResolver with broken count: 0 63s Done 64s Entering ResolveByKeep 64s 64s Calculating upgrade... 65s The following packages will be upgraded: 65s ca-certificates fwupd htop libftdi1-2 libfwupd3 libnpth0t64 65s libsensors-config libsensors5 liburcu8t64 mokutil nano usb.ids 65s 12 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 65s Need to get 6551 kB of archives. 65s After this operation, 187 kB disk space will be freed. 65s Get:1 http://ftpmaster.internal/ubuntu questing/main amd64 libnpth0t64 amd64 1.8-3 [9294 B] 65s Get:2 http://ftpmaster.internal/ubuntu questing-proposed/main amd64 ca-certificates all 20250419 [163 kB] 65s Get:3 http://ftpmaster.internal/ubuntu questing/main amd64 libsensors-config all 1:3.6.2-2 [6756 B] 65s Get:4 http://ftpmaster.internal/ubuntu questing/main amd64 libsensors5 amd64 1:3.6.2-2 [28.7 kB] 65s Get:5 http://ftpmaster.internal/ubuntu questing/main amd64 liburcu8t64 amd64 0.15.2-2 [63.9 kB] 65s Get:6 http://ftpmaster.internal/ubuntu questing/main amd64 nano amd64 8.4-1 [290 kB] 65s Get:7 http://ftpmaster.internal/ubuntu questing/main amd64 usb.ids all 2025.04.01-1 [223 kB] 65s Get:8 http://ftpmaster.internal/ubuntu questing/main amd64 fwupd amd64 2.0.8-3 [5396 kB] 66s Get:9 http://ftpmaster.internal/ubuntu questing/main amd64 libfwupd3 amd64 2.0.8-3 [136 kB] 66s Get:10 http://ftpmaster.internal/ubuntu questing/main amd64 htop amd64 3.4.1-4 [175 kB] 66s Get:11 http://ftpmaster.internal/ubuntu questing/main amd64 libftdi1-2 amd64 1.5-10 [30.7 kB] 66s Get:12 http://ftpmaster.internal/ubuntu questing/main amd64 mokutil amd64 0.7.2-1 [27.9 kB] 66s Preconfiguring packages ... 67s Fetched 6551 kB in 1s (6189 kB/s) 67s (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 ... 80514 files and directories currently installed.) 67s Preparing to unpack .../libnpth0t64_1.8-3_amd64.deb ... 67s Unpacking libnpth0t64:amd64 (1.8-3) over (1.8-2) ... 67s Setting up libnpth0t64:amd64 (1.8-3) ... 67s (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 ... 80514 files and directories currently installed.) 67s Preparing to unpack .../00-ca-certificates_20250419_all.deb ... 67s Unpacking ca-certificates (20250419) over (20241223) ... 67s Preparing to unpack .../01-libsensors-config_1%3a3.6.2-2_all.deb ... 67s Unpacking libsensors-config (1:3.6.2-2) over (1:3.6.0-10) ... 67s Preparing to unpack .../02-libsensors5_1%3a3.6.2-2_amd64.deb ... 67s Unpacking libsensors5:amd64 (1:3.6.2-2) over (1:3.6.0-10) ... 68s Preparing to unpack .../03-liburcu8t64_0.15.2-2_amd64.deb ... 68s Unpacking liburcu8t64:amd64 (0.15.2-2) over (0.15.1-1) ... 68s Preparing to unpack .../04-nano_8.4-1_amd64.deb ... 68s Unpacking nano (8.4-1) over (8.3-1) ... 68s Preparing to unpack .../05-usb.ids_2025.04.01-1_all.deb ... 68s Unpacking usb.ids (2025.04.01-1) over (2025.01.14-1) ... 68s Preparing to unpack .../06-fwupd_2.0.8-3_amd64.deb ... 68s Unpacking fwupd (2.0.8-3) over (2.0.7-1) ... 68s Preparing to unpack .../07-libfwupd3_2.0.8-3_amd64.deb ... 68s Unpacking libfwupd3:amd64 (2.0.8-3) over (2.0.7-1) ... 68s Preparing to unpack .../08-htop_3.4.1-4_amd64.deb ... 68s Unpacking htop (3.4.1-4) over (3.4.0-2) ... 68s Preparing to unpack .../09-libftdi1-2_1.5-10_amd64.deb ... 68s Unpacking libftdi1-2:amd64 (1.5-10) over (1.5-8build1) ... 68s Preparing to unpack .../10-mokutil_0.7.2-1_amd64.deb ... 68s Unpacking mokutil (0.7.2-1) over (0.6.0-2build3) ... 68s Setting up liburcu8t64:amd64 (0.15.2-2) ... 68s Setting up mokutil (0.7.2-1) ... 68s Setting up htop (3.4.1-4) ... 68s Setting up libsensors-config (1:3.6.2-2) ... 68s Installing new version of config file /etc/sensors3.conf ... 68s Setting up libfwupd3:amd64 (2.0.8-3) ... 68s Setting up libftdi1-2:amd64 (1.5-10) ... 68s Setting up ca-certificates (20250419) ... 71s Updating certificates in /etc/ssl/certs... 73s rehash: warning: skipping ca-certificates.crt, it does not contain exactly one certificate or CRL 73s 2 added, 4 removed; done. 73s Setting up usb.ids (2025.04.01-1) ... 73s Setting up libsensors5:amd64 (1:3.6.2-2) ... 73s Setting up nano (8.4-1) ... 73s Installing new version of config file /etc/nanorc ... 73s Setting up fwupd (2.0.8-3) ... 74s fwupd-refresh.service is a disabled or a static unit not running, not starting it. 74s fwupd.service is a disabled or a static unit not running, not starting it. 74s Processing triggers for man-db (2.13.0-1) ... 75s Processing triggers for dbus (1.16.2-2ubuntu1) ... 75s Processing triggers for install-info (7.1.1-1) ... 76s Processing triggers for libc-bin (2.41-6ubuntu1) ... 76s Processing triggers for ca-certificates (20250419) ... 76s Updating certificates in /etc/ssl/certs... 77s 0 added, 0 removed; done. 77s Running hooks in /etc/ca-certificates/update.d... 77s done. 77s Reading package lists... 77s Building dependency tree... 77s Reading state information... 78s Starting pkgProblemResolver with broken count: 0 78s Starting 2 pkgProblemResolver with broken count: 0 78s Done 78s Solving dependencies... 79s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 79s autopkgtest [17:50:50]: rebooting testbed after setup commands that affected boot 102s autopkgtest [17:51:13]: testbed running kernel: Linux 6.14.0-15-generic #15-Ubuntu SMP PREEMPT_DYNAMIC Sun Apr 6 15:05:05 UTC 2025 105s autopkgtest [17:51:16]: @@@@@@@@@@@@@@@@@@@@ apt-source xgboost 109s Get:1 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (dsc) [2340 B] 109s Get:2 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (tar) [2138 kB] 109s Get:3 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (diff) [23.2 kB] 109s gpgv: Signature made Wed Mar 5 01:20:21 2025 UTC 109s gpgv: using RSA key 25E3FF2D7F469DBE7D0D4E50AFCFEC8E669CE1C2 109s gpgv: Can't check signature: No public key 109s dpkg-source: warning: cannot verify inline signature for ./xgboost_2.1.4-1build1.dsc: no acceptable signature found 109s autopkgtest [17:51:20]: testing package xgboost version 2.1.4-1build1 110s autopkgtest [17:51:21]: build not needed 111s autopkgtest [17:51:22]: test run-demos: preparing testbed 111s Reading package lists... 111s Building dependency tree... 111s Reading state information... 112s Starting pkgProblemResolver with broken count: 0 112s Starting 2 pkgProblemResolver with broken count: 0 112s Done 112s The following NEW packages will be installed: 112s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3 112s libdeflate0 libdmlc0t64 libfontconfig1 libgfortran5 libgomp1 libgraphite2-3 112s libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery 112s libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libopenjp2-7 112s libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 libwebp7 112s libwebpdemux2 libwebpmux3 libxft2 libxgboost-dev libxgboost0 libxrender1 112s libxslt1.1 libxss1 python-matplotlib-data python3-brotli python3-contourpy 112s python3-cycler python3-decorator python3-fonttools python3-fs python3-joblib 112s python3-kiwisolver python3-lxml python3-lz4 python3-matplotlib 112s python3-mpmath python3-numpy python3-numpy-dev python3-pandas 112s python3-pandas-lib python3-pil python3-pil.imagetk python3-platformdirs 112s python3-pytz python3-scipy python3-sklearn python3-sklearn-lib python3-sympy 112s python3-threadpoolctl python3-tk python3-tz python3-ufolib2 112s python3-unicodedata2 python3-xgboost python3.13-tk tk8.6-blt2.5 unicode-data 112s x11-common 113s 0 upgraded, 74 newly installed, 0 to remove and 0 not upgraded. 113s Need to get 93.9 MB of archives. 113s After this operation, 396 MB of additional disk space will be used. 113s Get:1 http://ftpmaster.internal/ubuntu questing/main amd64 python3-numpy-dev amd64 1:2.2.3+ds-5 [148 kB] 113s Get:2 http://ftpmaster.internal/ubuntu questing/main amd64 libblas3 amd64 3.12.1-2 [359 kB] 113s Get:3 http://ftpmaster.internal/ubuntu questing/main amd64 libgfortran5 amd64 15-20250404-0ubuntu1 [926 kB] 113s Get:4 http://ftpmaster.internal/ubuntu questing/main amd64 liblapack3 amd64 3.12.1-2 [3179 kB] 113s Get:5 http://ftpmaster.internal/ubuntu questing/main amd64 python3-numpy amd64 1:2.2.3+ds-5 [5702 kB] 113s Get:6 http://ftpmaster.internal/ubuntu questing/main amd64 libtcl8.6 amd64 8.6.16+dfsg-1 [1086 kB] 113s Get:7 http://ftpmaster.internal/ubuntu questing/main amd64 fonts-dejavu-mono all 2.37-8 [502 kB] 113s Get:8 http://ftpmaster.internal/ubuntu questing/main amd64 fonts-dejavu-core all 2.37-8 [835 kB] 114s Get:9 http://ftpmaster.internal/ubuntu questing/main amd64 fontconfig-config amd64 2.15.0-2.2ubuntu1 [37.8 kB] 114s Get:10 http://ftpmaster.internal/ubuntu questing/main amd64 libfontconfig1 amd64 2.15.0-2.2ubuntu1 [164 kB] 114s Get:11 http://ftpmaster.internal/ubuntu questing/main amd64 libxrender1 amd64 1:0.9.10-1.1build1 [19.0 kB] 114s Get:12 http://ftpmaster.internal/ubuntu questing/main amd64 libxft2 amd64 2.3.6-1build1 [45.3 kB] 114s Get:13 http://ftpmaster.internal/ubuntu questing/main amd64 x11-common all 1:7.7+23ubuntu4 [21.8 kB] 114s Get:14 http://ftpmaster.internal/ubuntu questing/main amd64 libxss1 amd64 1:1.2.3-1build3 [7204 B] 114s Get:15 http://ftpmaster.internal/ubuntu questing/main amd64 libtk8.6 amd64 8.6.16-1 [868 kB] 114s Get:16 http://ftpmaster.internal/ubuntu questing/main amd64 tk8.6-blt2.5 amd64 2.5.3+dfsg-8 [694 kB] 114s Get:17 http://ftpmaster.internal/ubuntu questing/main amd64 blt amd64 2.5.3+dfsg-8 [4824 B] 114s Get:18 http://ftpmaster.internal/ubuntu questing/universe amd64 fonts-lyx all 2.4.3-1 [171 kB] 114s Get:19 http://ftpmaster.internal/ubuntu questing/main amd64 libdeflate0 amd64 1.23-1 [64.1 kB] 114s Get:20 http://ftpmaster.internal/ubuntu questing/main amd64 libgomp1 amd64 15-20250404-0ubuntu1 [151 kB] 114s Get:21 http://ftpmaster.internal/ubuntu questing/universe amd64 libdmlc0t64 amd64 0.5+git20240614.1334185-1 [186 kB] 114s Get:22 http://ftpmaster.internal/ubuntu questing/main amd64 libgraphite2-3 amd64 1.3.14-2ubuntu1 [73.1 kB] 114s Get:23 http://ftpmaster.internal/ubuntu questing/main amd64 libharfbuzz0b amd64 10.2.0-1 [543 kB] 114s Get:24 http://ftpmaster.internal/ubuntu questing/main amd64 libimagequant0 amd64 2.18.0-1build1 [36.3 kB] 114s Get:25 http://ftpmaster.internal/ubuntu questing/main amd64 libjpeg-turbo8 amd64 2.1.5-3ubuntu2 [179 kB] 114s Get:26 http://ftpmaster.internal/ubuntu questing/main amd64 libjpeg8 amd64 8c-2ubuntu11 [2148 B] 114s Get:27 http://ftpmaster.internal/ubuntu questing/main amd64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB] 114s Get:28 http://ftpmaster.internal/ubuntu questing/universe amd64 libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB] 114s Get:29 http://ftpmaster.internal/ubuntu questing/universe amd64 liblbfgsb0 amd64 3.0+dfsg.4-1build1 [29.9 kB] 114s Get:30 http://ftpmaster.internal/ubuntu questing/main amd64 liblcms2-2 amd64 2.16-2 [212 kB] 114s Get:31 http://ftpmaster.internal/ubuntu questing/main amd64 liblerc4 amd64 4.0.0+ds-5ubuntu1 [271 kB] 114s Get:32 http://ftpmaster.internal/ubuntu questing/universe amd64 libqhull-r8.0 amd64 2020.2-6build1 [193 kB] 114s Get:33 http://ftpmaster.internal/ubuntu questing/main amd64 libraqm0 amd64 0.10.2-1 [17.2 kB] 114s Get:34 http://ftpmaster.internal/ubuntu questing/main amd64 libsharpyuv0 amd64 1.5.0-0.1 [25.9 kB] 114s Get:35 http://ftpmaster.internal/ubuntu questing/main amd64 libjbig0 amd64 2.1-6.1ubuntu2 [29.7 kB] 114s Get:36 http://ftpmaster.internal/ubuntu questing/main amd64 libwebp7 amd64 1.5.0-0.1 [378 kB] 114s Get:37 http://ftpmaster.internal/ubuntu questing/main amd64 libtiff6 amd64 4.7.0-3ubuntu1 [204 kB] 114s Get:38 http://ftpmaster.internal/ubuntu questing/main amd64 libwebpdemux2 amd64 1.5.0-0.1 [13.0 kB] 114s Get:39 http://ftpmaster.internal/ubuntu questing/main amd64 libwebpmux3 amd64 1.5.0-0.1 [27.6 kB] 114s Get:40 http://ftpmaster.internal/ubuntu questing/universe amd64 libxgboost0 amd64 2.1.4-1build1 [2505 kB] 114s Get:41 http://ftpmaster.internal/ubuntu questing/universe amd64 libxgboost-dev amd64 2.1.4-1build1 [74.3 kB] 114s Get:42 http://ftpmaster.internal/ubuntu questing/main amd64 libxslt1.1 amd64 1.1.39-0exp1ubuntu4 [176 kB] 114s Get:43 http://ftpmaster.internal/ubuntu questing/universe amd64 python-matplotlib-data all 3.8.3-7build1 [2934 kB] 114s Get:44 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-brotli amd64 1.1.0-2build4 [367 kB] 114s Get:45 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-contourpy amd64 1.3.1-1build1 [218 kB] 114s Get:46 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-cycler all 0.12.1-1 [9716 B] 114s Get:47 http://ftpmaster.internal/ubuntu questing/main amd64 python3-decorator all 5.1.1-5 [10.1 kB] 114s Get:48 http://ftpmaster.internal/ubuntu questing/main amd64 python3-platformdirs all 4.3.6-1 [16.8 kB] 114s Get:49 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-fs all 2.4.16-7 [90.8 kB] 114s Get:50 http://ftpmaster.internal/ubuntu questing/main amd64 python3-lxml amd64 5.3.2-1 [1407 kB] 114s Get:51 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-lz4 amd64 4.4.0+dfsg-1build1 [27.0 kB] 114s Get:52 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-scipy amd64 1.14.1-4ubuntu2 [18.7 MB] 115s Get:53 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-mpmath all 1.3.0-1 [425 kB] 115s Get:54 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-sympy all 1.13.3-5 [4229 kB] 115s Get:55 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-ufolib2 all 0.17.0+dfsg1-1 [33.5 kB] 115s Get:56 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-unicodedata2 amd64 15.1.0+ds-1build3 [360 kB] 115s Get:57 http://ftpmaster.internal/ubuntu questing/universe amd64 unicode-data all 15.1.0-1 [8878 kB] 115s Get:58 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-fonttools amd64 4.55.3-2build1 [1536 kB] 115s Get:59 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-joblib all 1.4.2-3 [205 kB] 115s Get:60 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-kiwisolver amd64 1.4.7-3build1 [55.6 kB] 115s Get:61 http://ftpmaster.internal/ubuntu questing/main amd64 libopenjp2-7 amd64 2.5.3-2 [218 kB] 115s Get:62 http://ftpmaster.internal/ubuntu questing/main amd64 python3-pil amd64 11.1.0-5build1 [583 kB] 115s Get:63 http://ftpmaster.internal/ubuntu questing/main amd64 python3.13-tk amd64 3.13.3-1 [107 kB] 115s Get:64 http://ftpmaster.internal/ubuntu questing/main amd64 python3-tk amd64 3.13.3-1 [9856 B] 115s Get:65 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-pil.imagetk amd64 11.1.0-5build1 [9828 B] 115s Get:66 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-matplotlib amd64 3.8.3-7build1 [17.4 MB] 116s Get:67 http://ftpmaster.internal/ubuntu questing/main amd64 python3-pytz all 2025.1-3 [162 kB] 116s Get:68 http://ftpmaster.internal/ubuntu questing/main amd64 python3-tz all 2025.1-3 [1866 B] 116s Get:69 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-pandas-lib amd64 2.2.3+dfsg-8build1 [5332 kB] 116s Get:70 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-pandas all 2.2.3+dfsg-8build1 [3112 kB] 116s Get:71 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-threadpoolctl all 3.1.0-1 [21.3 kB] 116s Get:72 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-sklearn-lib amd64 1.4.2+dfsg-8 [4359 kB] 116s Get:73 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-sklearn all 1.4.2+dfsg-8 [2258 kB] 116s Get:74 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-xgboost amd64 2.1.4-1build1 [119 kB] 117s Fetched 93.9 MB in 4s (25.7 MB/s) 117s Selecting previously unselected package python3-numpy-dev:amd64. 117s (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 ... 80512 files and directories currently installed.) 117s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.3+ds-5_amd64.deb ... 117s Unpacking python3-numpy-dev:amd64 (1:2.2.3+ds-5) ... 117s Selecting previously unselected package libblas3:amd64. 117s Preparing to unpack .../01-libblas3_3.12.1-2_amd64.deb ... 117s Unpacking libblas3:amd64 (3.12.1-2) ... 117s Selecting previously unselected package libgfortran5:amd64. 117s Preparing to unpack .../02-libgfortran5_15-20250404-0ubuntu1_amd64.deb ... 117s Unpacking libgfortran5:amd64 (15-20250404-0ubuntu1) ... 117s Selecting previously unselected package liblapack3:amd64. 117s Preparing to unpack .../03-liblapack3_3.12.1-2_amd64.deb ... 117s Unpacking liblapack3:amd64 (3.12.1-2) ... 117s Selecting previously unselected package python3-numpy. 117s Preparing to unpack .../04-python3-numpy_1%3a2.2.3+ds-5_amd64.deb ... 117s Unpacking python3-numpy (1:2.2.3+ds-5) ... 117s Selecting previously unselected package libtcl8.6:amd64. 117s Preparing to unpack .../05-libtcl8.6_8.6.16+dfsg-1_amd64.deb ... 117s Unpacking libtcl8.6:amd64 (8.6.16+dfsg-1) ... 118s Selecting previously unselected package fonts-dejavu-mono. 118s Preparing to unpack .../06-fonts-dejavu-mono_2.37-8_all.deb ... 118s Unpacking fonts-dejavu-mono (2.37-8) ... 118s Selecting previously unselected package fonts-dejavu-core. 118s Preparing to unpack .../07-fonts-dejavu-core_2.37-8_all.deb ... 118s Unpacking 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libtcl8.6:amd64 (8.6.16+dfsg-1) ... 126s Setting up fonts-dejavu-core (2.37-8) ... 126s Setting up libjpeg-turbo8:amd64 (2.1.5-3ubuntu2) ... 126s Setting up libgfortran5:amd64 (15-20250404-0ubuntu1) ... 126s Setting up libwebp7:amd64 (1.5.0-0.1) ... 126s Setting up libxslt1.1:amd64 (1.1.39-0exp1ubuntu4) ... 126s Setting up libopenjp2-7:amd64 (2.5.3-2) ... 126s Setting up libharfbuzz0b:amd64 (10.2.0-1) ... 126s Setting up libxss1:amd64 (1:1.2.3-1build3) ... 126s Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 126s Setting up python3-mpmath (1.3.0-1) ... 126s Setting up python-matplotlib-data (3.8.3-7build1) ... 126s Setting up libwebpmux3:amd64 (1.5.0-0.1) ... 126s Setting up libjpeg8:amd64 (8c-2ubuntu11) ... 126s Setting up python3-sympy (1.13.3-5) ... 133s Setting up liblapack3:amd64 (3.12.1-2) ... 133s update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode 133s 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(11.1.0-5build1) ... 141s Setting up python3-xgboost (2.1.4-1build1) ... 141s Setting up python3-pandas (2.2.3+dfsg-8build1) ... 146s Setting up libxgboost-dev (2.1.4-1build1) ... 146s Setting up python3-sklearn (1.4.2+dfsg-8) ... 149s Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... 149s Setting up blt (2.5.3+dfsg-8) ... 149s Setting up python3-tk:amd64 (3.13.3-1) ... 149s Setting up python3-pil.imagetk:amd64 (11.1.0-5build1) ... 149s Setting up python3-fonttools (4.55.3-2build1) ... 150s Setting up python3-ufolib2 (0.17.0+dfsg1-1) ... 150s Setting up python3-matplotlib (3.8.3-7build1) ... 151s Processing triggers for libc-bin (2.41-6ubuntu1) ... 151s Processing triggers for man-db (2.13.0-1) ... 154s autopkgtest [17:52:05]: test run-demos: [----------------------- 154s ========================================== 154s Running case basic_walkthrough.py... 156s [0] eval-logloss:0.22646 train-logloss:0.23316 156s [1] eval-logloss:0.13776 train-logloss:0.13654 156s error=0.021726 156s ========================================== 156s Running case boost_from_prediction.py... 157s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 157s warnings.warn(msg, FutureWarning) 157s start running example to start from a initial prediction 157s [0] eval-logloss:0.22646 train-logloss:0.23316 157s this is result of running from initial prediction 157s [0] eval-logloss:0.13776 train-logloss:0.13654 157s ========================================== 157s Running case callbacks.py... 159s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [17:52:10] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 159s warnings.warn(smsg, UserWarning) 159s [0] Train-error:0.03052 Train-rmse:0.35870 Valid-error:0.06993 Valid-rmse:0.37215 159s [1] Train-error:0.01174 Train-rmse:0.27804 Valid-error:0.04895 Valid-rmse:0.29761 159s [2] Train-error:0.01174 Train-rmse:0.21911 Valid-error:0.04895 Valid-rmse:0.25064 159s [3] Train-error:0.00939 Train-rmse:0.17913 Valid-error:0.02797 Valid-rmse:0.21447 159s [4] Train-error:0.00939 Train-rmse:0.14893 Valid-error:0.02797 Valid-rmse:0.19740 159s [5] Train-error:0.00939 Train-rmse:0.12816 Valid-error:0.03497 Valid-rmse:0.18098 159s [6] Train-error:0.00704 Train-rmse:0.11060 Valid-error:0.03497 Valid-rmse:0.17131 159s [7] Train-error:0.00704 Train-rmse:0.09947 Valid-error:0.03497 Valid-rmse:0.16077 159s [8] Train-error:0.00469 Train-rmse:0.08816 Valid-error:0.02797 Valid-rmse:0.14865 159s [9] Train-error:0.00469 Train-rmse:0.07863 Valid-error:0.03497 Valid-rmse:0.15073 159s [10] Train-error:0.00469 Train-rmse:0.07164 Valid-error:0.02098 Valid-rmse:0.14161 159s [11] Train-error:0.00469 Train-rmse:0.06692 Valid-error:0.01399 Valid-rmse:0.14028 159s [12] Train-error:0.00235 Train-rmse:0.06216 Valid-error:0.01399 Valid-rmse:0.13727 159s [13] Train-error:0.00235 Train-rmse:0.05811 Valid-error:0.01399 Valid-rmse:0.13495 159s [14] Train-error:0.00000 Train-rmse:0.05532 Valid-error:0.02098 Valid-rmse:0.13500 159s [15] Train-error:0.00000 Train-rmse:0.05178 Valid-error:0.02098 Valid-rmse:0.13226 159s [16] Train-error:0.00000 Train-rmse:0.04924 Valid-error:0.02098 Valid-rmse:0.13329 159s [17] Train-error:0.00000 Train-rmse:0.04656 Valid-error:0.01399 Valid-rmse:0.13183 159s [18] Train-error:0.00000 Train-rmse:0.04437 Valid-error:0.01399 Valid-rmse:0.13353 159s [19] Train-error:0.00000 Train-rmse:0.04272 Valid-error:0.02098 Valid-rmse:0.13468 159s [20] Train-error:0.00000 Train-rmse:0.04030 Valid-error:0.02098 Valid-rmse:0.13419 159s [21] Train-error:0.00000 Train-rmse:0.03869 Valid-error:0.02797 Valid-rmse:0.13543 159s [22] Train-error:0.00000 Train-rmse:0.03548 Valid-error:0.03497 Valid-rmse:0.13316 159s [23] Train-error:0.00000 Train-rmse:0.03444 Valid-error:0.03497 Valid-rmse:0.13637 160s [24] Train-error:0.00000 Train-rmse:0.03369 Valid-error:0.04196 Valid-rmse:0.13663 160s [25] Train-error:0.00000 Train-rmse:0.03213 Valid-error:0.03497 Valid-rmse:0.13386 160s [26] Train-error:0.00000 Train-rmse:0.03100 Valid-error:0.03497 Valid-rmse:0.13180 160s [27] Train-error:0.00000 Train-rmse:0.03036 Valid-error:0.03497 Valid-rmse:0.13263 160s [28] Train-error:0.00000 Train-rmse:0.02957 Valid-error:0.04196 Valid-rmse:0.13493 160s [29] Train-error:0.00000 Train-rmse:0.02866 Valid-error:0.03497 Valid-rmse:0.13487 160s [30] Train-error:0.00000 Train-rmse:0.02851 Valid-error:0.04196 Valid-rmse:0.13384 160s [31] Train-error:0.00000 Train-rmse:0.02721 Valid-error:0.02797 Valid-rmse:0.13117 160s [32] Train-error:0.00000 Train-rmse:0.02615 Valid-error:0.03497 Valid-rmse:0.13188 160s [33] Train-error:0.00000 Train-rmse:0.02559 Valid-error:0.03497 Valid-rmse:0.13096 160s [34] Train-error:0.00000 Train-rmse:0.02520 Valid-error:0.04196 Valid-rmse:0.13283 160s [35] Train-error:0.00000 Train-rmse:0.02438 Valid-error:0.03497 Valid-rmse:0.13220 160s [36] Train-error:0.00000 Train-rmse:0.02356 Valid-error:0.03497 Valid-rmse:0.13030 160s [37] Train-error:0.00000 Train-rmse:0.02348 Valid-error:0.03497 Valid-rmse:0.12942 160s [38] Train-error:0.00000 Train-rmse:0.02337 Valid-error:0.03497 Valid-rmse:0.12955 160s [39] Train-error:0.00000 Train-rmse:0.02265 Valid-error:0.02797 Valid-rmse:0.12785 160s [40] Train-error:0.00000 Train-rmse:0.02283 Valid-error:0.03497 Valid-rmse:0.12889 160s [41] Train-error:0.00000 Train-rmse:0.02255 Valid-error:0.03497 Valid-rmse:0.13066 160s [42] Train-error:0.00000 Train-rmse:0.02190 Valid-error:0.03497 Valid-rmse:0.12905 160s [43] Train-error:0.00000 Train-rmse:0.02173 Valid-error:0.03497 Valid-rmse:0.12833 160s [44] Train-error:0.00000 Train-rmse:0.02180 Valid-error:0.03497 Valid-rmse:0.12884 160s [45] Train-error:0.00000 Train-rmse:0.02153 Valid-error:0.03497 Valid-rmse:0.13050 160s [46] Train-error:0.00000 Train-rmse:0.02149 Valid-error:0.03497 Valid-rmse:0.12927 160s [47] Train-error:0.00000 Train-rmse:0.02134 Valid-error:0.02797 Valid-rmse:0.13012 160s [48] Train-error:0.00000 Train-rmse:0.02119 Valid-error:0.03497 Valid-rmse:0.12936 160s [49] Train-error:0.00000 Train-rmse:0.02124 Valid-error:0.02797 Valid-rmse:0.12989 160s [50] Train-error:0.00000 Train-rmse:0.02116 Valid-error:0.02797 Valid-rmse:0.13014 160s [51] Train-error:0.00000 Train-rmse:0.02107 Valid-error:0.02797 Valid-rmse:0.12953 160s [52] Train-error:0.00000 Train-rmse:0.02121 Valid-error:0.02797 Valid-rmse:0.12976 160s [53] Train-error:0.00000 Train-rmse:0.02080 Valid-error:0.02797 Valid-rmse:0.12903 160s [54] Train-error:0.00000 Train-rmse:0.02060 Valid-error:0.02797 Valid-rmse:0.13032 160s [55] Train-error:0.00000 Train-rmse:0.02069 Valid-error:0.02797 Valid-rmse:0.13027 160s [56] Train-error:0.00000 Train-rmse:0.02039 Valid-error:0.02797 Valid-rmse:0.12900 161s [57] Train-error:0.00000 Train-rmse:0.02031 Valid-error:0.02797 Valid-rmse:0.12845 161s [58] Train-error:0.00000 Train-rmse:0.02047 Valid-error:0.02797 Valid-rmse:0.12928 161s [59] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12865 161s [60] Train-error:0.00000 Train-rmse:0.02027 Valid-error:0.02797 Valid-rmse:0.12884 161s [61] Train-error:0.00000 Train-rmse:0.02023 Valid-error:0.02797 Valid-rmse:0.12917 161s [62] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12947 161s [63] Train-error:0.00000 Train-rmse:0.01986 Valid-error:0.02797 Valid-rmse:0.12827 161s [64] Train-error:0.00000 Train-rmse:0.01980 Valid-error:0.02797 Valid-rmse:0.12780 161s [65] Train-error:0.00000 Train-rmse:0.01971 Valid-error:0.02797 Valid-rmse:0.12888 161s [66] Train-error:0.00000 Train-rmse:0.01980 Valid-error:0.02797 Valid-rmse:0.12928 161s [67] Train-error:0.00000 Train-rmse:0.01977 Valid-error:0.02797 Valid-rmse:0.12962 161s [68] Train-error:0.00000 Train-rmse:0.01969 Valid-error:0.02797 Valid-rmse:0.12991 161s [69] Train-error:0.00000 Train-rmse:0.01940 Valid-error:0.02797 Valid-rmse:0.12920 161s [70] Train-error:0.00000 Train-rmse:0.01941 Valid-error:0.02797 Valid-rmse:0.12825 161s [71] Train-error:0.00000 Train-rmse:0.01936 Valid-error:0.02797 Valid-rmse:0.12785 161s [72] Train-error:0.00000 Train-rmse:0.01950 Valid-error:0.02797 Valid-rmse:0.12858 161s [73] Train-error:0.00000 Train-rmse:0.01921 Valid-error:0.02797 Valid-rmse:0.12791 161s [74] Train-error:0.00000 Train-rmse:0.01914 Valid-error:0.02797 Valid-rmse:0.12832 161s [75] Train-error:0.00000 Train-rmse:0.01912 Valid-error:0.02797 Valid-rmse:0.12821 161s [76] Train-error:0.00000 Train-rmse:0.01906 Valid-error:0.02797 Valid-rmse:0.12814 161s [77] Train-error:0.00000 Train-rmse:0.01897 Valid-error:0.02797 Valid-rmse:0.12845 161s [78] Train-error:0.00000 Train-rmse:0.01875 Valid-error:0.02797 Valid-rmse:0.12734 161s [79] Train-error:0.00000 Train-rmse:0.01873 Valid-error:0.02797 Valid-rmse:0.12765 161s [80] Train-error:0.00000 Train-rmse:0.01866 Valid-error:0.02797 Valid-rmse:0.12793 161s [81] Train-error:0.00000 Train-rmse:0.01869 Valid-error:0.02797 Valid-rmse:0.12708 161s [82] Train-error:0.00000 Train-rmse:0.01844 Valid-error:0.02797 Valid-rmse:0.12642 161s [83] Train-error:0.00000 Train-rmse:0.01857 Valid-error:0.02797 Valid-rmse:0.12709 161s [84] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12674 161s [85] Train-error:0.00000 Train-rmse:0.01862 Valid-error:0.02797 Valid-rmse:0.12712 161s [86] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12754 161s [87] Train-error:0.00000 Train-rmse:0.01829 Valid-error:0.02797 Valid-rmse:0.12693 161s [88] Train-error:0.00000 Train-rmse:0.01821 Valid-error:0.02797 Valid-rmse:0.12788 161s [89] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12782 162s [90] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12768 162s [91] Train-error:0.00000 Train-rmse:0.01809 Valid-error:0.02797 Valid-rmse:0.12797 162s [92] Train-error:0.00000 Train-rmse:0.01807 Valid-error:0.02797 Valid-rmse:0.12768 162s [93] Train-error:0.00000 Train-rmse:0.01798 Valid-error:0.02797 Valid-rmse:0.12858 162s [94] Train-error:0.00000 Train-rmse:0.01776 Valid-error:0.02797 Valid-rmse:0.12801 162s [95] Train-error:0.00000 Train-rmse:0.01786 Valid-error:0.02797 Valid-rmse:0.12804 162s [96] Train-error:0.00000 Train-rmse:0.01779 Valid-error:0.02797 Valid-rmse:0.12844 162s [97] Train-error:0.00000 Train-rmse:0.01778 Valid-error:0.02797 Valid-rmse:0.12875 162s [98] Train-error:0.00000 Train-rmse:0.01759 Valid-error:0.02797 Valid-rmse:0.12806 162s [99] Train-error:0.00000 Train-rmse:0.01771 Valid-error:0.02797 Valid-rmse:0.12865 162s ========================================== 162s Skip case cat_in_the_dat.py... 162s ========================================== 162s Running case cat_pipeline.py... 164s ========================================== 164s Running case categorical.py... 165s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [17:52:16] 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 [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 /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [17:52:16] 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] 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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 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validation_0-logloss:0.00388 167s [35] validation_0-logloss:0.00388 167s [36] validation_0-logloss:0.00387 167s [37] validation_0-logloss:0.00386 167s [38] validation_0-logloss:0.00385 167s [39] validation_0-logloss:0.00385 167s [40] validation_0-logloss:0.00384 167s [41] validation_0-logloss:0.00383 167s [42] validation_0-logloss:0.00383 167s [43] validation_0-logloss:0.00382 167s [44] validation_0-logloss:0.00381 167s [45] validation_0-logloss:0.00381 167s [46] validation_0-logloss:0.00380 167s [47] validation_0-logloss:0.00380 167s [48] validation_0-logloss:0.00379 167s [49] validation_0-logloss:0.00379 167s [50] validation_0-logloss:0.00378 167s [51] validation_0-logloss:0.00378 167s [52] validation_0-logloss:0.00377 167s [53] validation_0-logloss:0.00377 167s [54] validation_0-logloss:0.00376 167s [55] validation_0-logloss:0.00376 167s [56] validation_0-logloss:0.00375 167s [57] validation_0-logloss:0.00375 167s [58] validation_0-logloss:0.00374 167s [59] validation_0-logloss:0.00374 167s [60] validation_0-logloss:0.00373 167s [61] validation_0-logloss:0.00373 167s [62] validation_0-logloss:0.00373 167s [63] validation_0-logloss:0.00372 167s [64] validation_0-logloss:0.00372 167s [65] validation_0-logloss:0.00372 167s [66] validation_0-logloss:0.00371 167s [67] validation_0-logloss:0.00371 167s [68] validation_0-logloss:0.00371 167s [69] validation_0-logloss:0.00371 167s [70] validation_0-logloss:0.00371 167s Total boosted rounds: 195 167s [0] validation_0-logloss:0.43281 167s [1] validation_0-logloss:0.30816 167s [2] validation_0-logloss:0.22816 167s [3] validation_0-logloss:0.17470 167s [4] validation_0-logloss:0.13438 167s [5] validation_0-logloss:0.10538 167s [6] validation_0-logloss:0.08467 167s [7] validation_0-logloss:0.06909 167s [8] validation_0-logloss:0.05766 167s [9] validation_0-logloss:0.04842 167s [10] validation_0-logloss:0.04121 167s [11] validation_0-logloss:0.03545 167s [12] validation_0-logloss:0.03077 167s [13] 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validation_0-logloss:0.00388 167s [164] validation_0-logloss:0.00387 167s [165] validation_0-logloss:0.00386 167s [166] validation_0-logloss:0.00385 167s [167] validation_0-logloss:0.00385 167s [168] validation_0-logloss:0.00384 167s [169] validation_0-logloss:0.00383 167s [170] validation_0-logloss:0.00383 167s [171] validation_0-logloss:0.00382 167s [172] validation_0-logloss:0.00381 167s [173] validation_0-logloss:0.00381 167s [174] validation_0-logloss:0.00380 167s [175] validation_0-logloss:0.00380 167s [176] validation_0-logloss:0.00379 167s [177] validation_0-logloss:0.00379 167s [178] validation_0-logloss:0.00378 167s [179] validation_0-logloss:0.00378 167s [180] validation_0-logloss:0.00377 167s [181] validation_0-logloss:0.00377 167s [182] validation_0-logloss:0.00376 167s [183] validation_0-logloss:0.00376 167s [184] validation_0-logloss:0.00375 167s [185] validation_0-logloss:0.00375 167s [186] validation_0-logloss:0.00374 167s [187] validation_0-logloss:0.00374 167s [188] validation_0-logloss:0.00373 167s [189] validation_0-logloss:0.00373 167s [190] validation_0-logloss:0.00373 167s [191] validation_0-logloss:0.00372 167s [192] validation_0-logloss:0.00372 167s [193] validation_0-logloss:0.00372 167s [194] validation_0-logloss:0.00371 167s [195] validation_0-logloss:0.00371 167s [196] validation_0-logloss:0.00371 167s [197] validation_0-logloss:0.00371 167s [198] validation_0-logloss:0.00371 167s [199] validation_0-logloss:0.00371 167s Total boosted rounds: 195 167s [0] validation_0-logloss:0.43281 167s [1] validation_0-logloss:0.30816 167s [2] validation_0-logloss:0.22816 167s [3] validation_0-logloss:0.17470 167s [4] validation_0-logloss:0.13438 167s [5] validation_0-logloss:0.10538 167s [6] validation_0-logloss:0.08467 167s [7] validation_0-logloss:0.06909 167s [8] validation_0-logloss:0.05766 167s [9] validation_0-logloss:0.04842 167s [10] validation_0-logloss:0.04121 167s [11] validation_0-logloss:0.03545 167s [12] validation_0-logloss:0.03077 167s [13] validation_0-logloss:0.02742 167s [14] validation_0-logloss:0.02444 167s [15] validation_0-logloss:0.02208 167s [16] validation_0-logloss:0.01993 167s [17] validation_0-logloss:0.01819 167s [18] validation_0-logloss:0.01676 167s [19] validation_0-logloss:0.01575 167s [20] validation_0-logloss:0.01461 167s [21] validation_0-logloss:0.01383 167s [22] validation_0-logloss:0.01304 167s [23] validation_0-logloss:0.01243 167s [24] validation_0-logloss:0.01179 167s [25] validation_0-logloss:0.01142 167s [26] validation_0-logloss:0.01103 167s [27] validation_0-logloss:0.01066 167s [28] validation_0-logloss:0.01037 167s [29] validation_0-logloss:0.00993 167s [30] validation_0-logloss:0.00966 167s [31] validation_0-logloss:0.00920 167s [32] validation_0-logloss:0.00900 167s [33] validation_0-logloss:0.00876 167s [34] validation_0-logloss:0.00852 167s [35] validation_0-logloss:0.00835 167s [36] validation_0-logloss:0.00810 167s [37] validation_0-logloss:0.00791 167s [38] validation_0-logloss:0.00764 167s [39] validation_0-logloss:0.00753 167s [40] validation_0-logloss:0.00739 167s [41] validation_0-logloss:0.00723 167s [42] validation_0-logloss:0.00706 167s [43] validation_0-logloss:0.00695 167s [44] validation_0-logloss:0.00688 167s [45] validation_0-logloss:0.00671 167s [46] validation_0-logloss:0.00662 167s [47] validation_0-logloss:0.00650 167s [48] validation_0-logloss:0.00637 167s [49] validation_0-logloss:0.00628 167s [50] validation_0-logloss:0.00623 167s [51] validation_0-logloss:0.00618 167s [52] validation_0-logloss:0.00614 167s [53] validation_0-logloss:0.00609 167s [54] validation_0-logloss:0.00600 167s [55] validation_0-logloss:0.00590 167s [56] validation_0-logloss:0.00582 167s [57] validation_0-logloss:0.00578 167s [58] validation_0-logloss:0.00570 167s [59] validation_0-logloss:0.00566 167s [60] validation_0-logloss:0.00563 167s [61] validation_0-logloss:0.00559 167s [62] validation_0-logloss:0.00556 167s [63] validation_0-logloss:0.00553 167s [64] validation_0-logloss:0.00549 167s [65] validation_0-logloss:0.00546 167s [66] validation_0-logloss:0.00543 167s [67] validation_0-logloss:0.00540 167s [68] validation_0-logloss:0.00537 167s [69] validation_0-logloss:0.00534 167s [70] validation_0-logloss:0.00531 167s [71] validation_0-logloss:0.00528 167s [72] validation_0-logloss:0.00525 167s [73] validation_0-logloss:0.00523 167s [74] validation_0-logloss:0.00520 167s [75] validation_0-logloss:0.00517 167s [76] validation_0-logloss:0.00515 167s [77] validation_0-logloss:0.00512 167s [78] validation_0-logloss:0.00510 167s [79] validation_0-logloss:0.00507 167s [80] validation_0-logloss:0.00505 167s [81] validation_0-logloss:0.00502 167s [82] validation_0-logloss:0.00500 167s [83] validation_0-logloss:0.00498 167s [84] validation_0-logloss:0.00496 167s [85] validation_0-logloss:0.00493 167s [86] validation_0-logloss:0.00491 167s [87] validation_0-logloss:0.00489 167s [88] validation_0-logloss:0.00486 167s [89] validation_0-logloss:0.00484 167s [90] validation_0-logloss:0.00482 167s [91] validation_0-logloss:0.00480 167s [92] validation_0-logloss:0.00478 167s [93] validation_0-logloss:0.00476 167s [94] validation_0-logloss:0.00474 167s [95] validation_0-logloss:0.00472 167s [96] validation_0-logloss:0.00470 167s [97] validation_0-logloss:0.00468 167s [98] validation_0-logloss:0.00466 167s [99] validation_0-logloss:0.00464 167s [100] validation_0-logloss:0.00463 167s [101] validation_0-logloss:0.00461 167s [102] validation_0-logloss:0.00459 167s [103] validation_0-logloss:0.00457 167s [104] validation_0-logloss:0.00456 167s [105] validation_0-logloss:0.00454 167s [106] validation_0-logloss:0.00452 167s [107] validation_0-logloss:0.00451 167s [108] validation_0-logloss:0.00449 167s [109] validation_0-logloss:0.00448 167s [110] validation_0-logloss:0.00446 167s [111] validation_0-logloss:0.00444 167s [112] validation_0-logloss:0.00443 167s [113] validation_0-logloss:0.00441 167s [114] validation_0-logloss:0.00440 167s [115] validation_0-logloss:0.00438 167s [116] validation_0-logloss:0.00437 167s [117] validation_0-logloss:0.00435 167s [118] validation_0-logloss:0.00434 167s [119] validation_0-logloss:0.00433 167s [120] validation_0-logloss:0.00431 167s [121] validation_0-logloss:0.00430 167s [122] validation_0-logloss:0.00429 167s [123] validation_0-logloss:0.00427 167s [124] validation_0-logloss:0.00426 167s [125] validation_0-logloss:0.00425 167s [126] validation_0-logloss:0.00423 167s [127] validation_0-logloss:0.00422 167s [0] validation_0-logloss:0.00421 167s [1] validation_0-logloss:0.00420 167s [2] validation_0-logloss:0.00419 167s [3] validation_0-logloss:0.00417 167s [4] validation_0-logloss:0.00416 167s [5] validation_0-logloss:0.00415 167s [6] validation_0-logloss:0.00414 167s [7] validation_0-logloss:0.00413 167s [8] validation_0-logloss:0.00412 167s [9] validation_0-logloss:0.00411 167s [10] validation_0-logloss:0.00410 167s [11] validation_0-logloss:0.00409 167s [12] validation_0-logloss:0.00408 167s [13] validation_0-logloss:0.00407 167s [14] validation_0-logloss:0.00406 167s [15] validation_0-logloss:0.00405 167s [16] validation_0-logloss:0.00404 167s [17] validation_0-logloss:0.00403 167s [18] validation_0-logloss:0.00402 167s [19] validation_0-logloss:0.00401 167s [20] validation_0-logloss:0.00400 167s [21] validation_0-logloss:0.00399 167s [22] validation_0-logloss:0.00398 167s [23] validation_0-logloss:0.00397 167s [24] validation_0-logloss:0.00396 167s [25] validation_0-logloss:0.00396 167s [26] validation_0-logloss:0.00395 167s [27] validation_0-logloss:0.00394 167s [28] validation_0-logloss:0.00393 167s [29] validation_0-logloss:0.00392 167s [30] validation_0-logloss:0.00391 167s [31] validation_0-logloss:0.00391 167s [32] validation_0-logloss:0.00390 167s [33] validation_0-logloss:0.00389 167s [34] validation_0-logloss:0.00388 167s [35] validation_0-logloss:0.00388 167s [36] validation_0-logloss:0.00387 167s [37] validation_0-logloss:0.00386 167s [38] validation_0-logloss:0.00385 167s [39] validation_0-logloss:0.00385 167s [40] validation_0-logloss:0.00384 167s [41] validation_0-logloss:0.00383 167s [42] validation_0-logloss:0.00383 167s [43] validation_0-logloss:0.00382 167s [44] validation_0-logloss:0.00381 167s [45] validation_0-logloss:0.00381 167s [46] validation_0-logloss:0.00380 167s [47] validation_0-logloss:0.00380 167s [48] validation_0-logloss:0.00379 167s [49] validation_0-logloss:0.00379 167s [50] validation_0-logloss:0.00378 167s [51] validation_0-logloss:0.00378 167s [52] validation_0-logloss:0.00377 167s [53] validation_0-logloss:0.00377 167s [54] validation_0-logloss:0.00376 167s [55] validation_0-logloss:0.00376 167s [56] validation_0-logloss:0.00375 167s [57] validation_0-logloss:0.00375 167s [58] validation_0-logloss:0.00374 167s [59] validation_0-logloss:0.00374 167s [60] validation_0-logloss:0.00373 167s [61] validation_0-logloss:0.00373 167s [62] validation_0-logloss:0.00373 167s [63] validation_0-logloss:0.00372 167s [64] validation_0-logloss:0.00372 167s [65] validation_0-logloss:0.00372 167s [66] validation_0-logloss:0.00371 167s [67] validation_0-logloss:0.00371 167s [68] validation_0-logloss:0.00371 167s [69] validation_0-logloss:0.00371 167s [70] validation_0-logloss:0.00371 167s [71] validation_0-logloss:0.00371 167s Total boosted rounds: 195 167s [0] validation_0-logloss:0.43281 167s [1] validation_0-logloss:0.30816 167s [2] validation_0-logloss:0.22816 167s [3] validation_0-logloss:0.17470 167s [4] validation_0-logloss:0.13438 167s [5] validation_0-logloss:0.10538 167s [6] validation_0-logloss:0.08467 167s [7] validation_0-logloss:0.06909 167s [8] validation_0-logloss:0.05766 167s [9] validation_0-logloss:0.04842 167s [10] validation_0-logloss:0.04121 167s [11] validation_0-logloss:0.03545 167s [12] validation_0-logloss:0.03077 167s [13] validation_0-logloss:0.02742 167s [14] validation_0-logloss:0.02444 167s [15] validation_0-logloss:0.02208 167s [16] validation_0-logloss:0.01993 167s [17] validation_0-logloss:0.01819 167s [18] validation_0-logloss:0.01676 167s [19] validation_0-logloss:0.01575 167s [20] validation_0-logloss:0.01461 167s [21] validation_0-logloss:0.01383 167s [22] validation_0-logloss:0.01304 167s [23] validation_0-logloss:0.01243 167s [24] validation_0-logloss:0.01179 167s [25] validation_0-logloss:0.01142 167s [26] validation_0-logloss:0.01103 167s [27] validation_0-logloss:0.01066 167s [28] validation_0-logloss:0.01037 167s [29] validation_0-logloss:0.00993 167s [30] validation_0-logloss:0.00966 167s [31] validation_0-logloss:0.00920 167s [32] validation_0-logloss:0.00900 167s [33] validation_0-logloss:0.00876 167s [34] validation_0-logloss:0.00852 167s [35] validation_0-logloss:0.00835 167s [36] validation_0-logloss:0.00810 167s [37] validation_0-logloss:0.00791 167s [38] validation_0-logloss:0.00764 167s [39] validation_0-logloss:0.00753 167s [40] validation_0-logloss:0.00739 167s [41] validation_0-logloss:0.00723 167s [42] validation_0-logloss:0.00706 167s [43] validation_0-logloss:0.00695 167s [44] validation_0-logloss:0.00688 167s [45] validation_0-logloss:0.00671 167s [46] validation_0-logloss:0.00662 167s [47] validation_0-logloss:0.00650 167s [48] validation_0-logloss:0.00637 167s [49] validation_0-logloss:0.00628 167s [50] validation_0-logloss:0.00623 167s [51] validation_0-logloss:0.00618 167s [52] validation_0-logloss:0.00614 167s [53] validation_0-logloss:0.00609 167s [54] validation_0-logloss:0.00600 167s [55] validation_0-logloss:0.00590 167s [56] validation_0-logloss:0.00582 167s [57] validation_0-logloss:0.00578 167s [58] validation_0-logloss:0.00570 167s [59] validation_0-logloss:0.00566 167s [60] validation_0-logloss:0.00563 167s [61] validation_0-logloss:0.00559 167s [62] validation_0-logloss:0.00556 167s [63] validation_0-logloss:0.00553 167s [64] validation_0-logloss:0.00549 167s [65] validation_0-logloss:0.00546 167s [66] validation_0-logloss:0.00543 167s [67] validation_0-logloss:0.00540 167s [68] validation_0-logloss:0.00537 167s [69] validation_0-logloss:0.00534 167s [70] validation_0-logloss:0.00531 167s [71] validation_0-logloss:0.00528 167s [72] validation_0-logloss:0.00525 167s [73] validation_0-logloss:0.00523 167s [74] validation_0-logloss:0.00520 167s [75] validation_0-logloss:0.00517 167s [76] validation_0-logloss:0.00515 167s [77] validation_0-logloss:0.00512 167s [78] validation_0-logloss:0.00510 167s [79] validation_0-logloss:0.00507 167s [80] validation_0-logloss:0.00505 167s [81] validation_0-logloss:0.00502 167s [82] validation_0-logloss:0.00500 167s [83] validation_0-logloss:0.00498 167s [84] validation_0-logloss:0.00496 167s [85] validation_0-logloss:0.00493 167s [86] validation_0-logloss:0.00491 167s [87] validation_0-logloss:0.00489 167s [88] validation_0-logloss:0.00486 167s [89] validation_0-logloss:0.00484 167s [90] validation_0-logloss:0.00482 167s [91] validation_0-logloss:0.00480 167s [92] validation_0-logloss:0.00478 167s [93] validation_0-logloss:0.00476 167s [94] validation_0-logloss:0.00474 167s [95] validation_0-logloss:0.00472 167s [96] validation_0-logloss:0.00470 167s [97] validation_0-logloss:0.00468 167s [98] validation_0-logloss:0.00466 167s [99] validation_0-logloss:0.00464 167s [100] validation_0-logloss:0.00463 167s [101] validation_0-logloss:0.00461 167s [102] validation_0-logloss:0.00459 167s [103] validation_0-logloss:0.00457 167s [104] validation_0-logloss:0.00456 167s [105] validation_0-logloss:0.00454 167s [106] validation_0-logloss:0.00452 167s [107] validation_0-logloss:0.00451 167s [108] validation_0-logloss:0.00449 167s [109] validation_0-logloss:0.00448 167s [110] validation_0-logloss:0.00446 167s [111] validation_0-logloss:0.00444 167s [112] validation_0-logloss:0.00443 167s [113] validation_0-logloss:0.00441 167s [114] validation_0-logloss:0.00440 167s [115] validation_0-logloss:0.00438 167s [116] validation_0-logloss:0.00437 167s [117] validation_0-logloss:0.00435 167s [118] validation_0-logloss:0.00434 167s [119] validation_0-logloss:0.00433 167s [120] validation_0-logloss:0.00431 167s [121] validation_0-logloss:0.00430 167s [122] validation_0-logloss:0.00429 167s [123] validation_0-logloss:0.00427 167s [124] validation_0-logloss:0.00426 167s [125] validation_0-logloss:0.00425 167s [126] validation_0-logloss:0.00423 167s [127] validation_0-logloss:0.00422 167s Total boosted rounds: 128 167s [0] validation_0-logloss:0.43281 167s [1] validation_0-logloss:0.30816 167s [2] validation_0-logloss:0.22816 167s [3] validation_0-logloss:0.17470 167s [4] validation_0-logloss:0.13438 167s [5] validation_0-logloss:0.10538 167s [6] validation_0-logloss:0.08467 167s [7] validation_0-logloss:0.06909 167s [8] validation_0-logloss:0.05766 167s [9] validation_0-logloss:0.04842 167s [10] validation_0-logloss:0.04121 167s [11] validation_0-logloss:0.03545 167s [12] validation_0-logloss:0.03077 167s [13] validation_0-logloss:0.02742 167s [14] validation_0-logloss:0.02444 167s [15] validation_0-logloss:0.02208 167s [16] validation_0-logloss:0.01993 167s [17] validation_0-logloss:0.01819 167s [18] validation_0-logloss:0.01676 167s [19] validation_0-logloss:0.01575 167s [20] validation_0-logloss:0.01461 167s [21] validation_0-logloss:0.01383 167s [22] validation_0-logloss:0.01304 167s [23] validation_0-logloss:0.01243 167s [24] validation_0-logloss:0.01179 167s [25] validation_0-logloss:0.01142 167s [26] validation_0-logloss:0.01103 167s [27] validation_0-logloss:0.01066 167s [28] validation_0-logloss:0.01037 167s [29] validation_0-logloss:0.00993 167s [30] validation_0-logloss:0.00966 167s [31] validation_0-logloss:0.00920 167s [0] validation_0-logloss:0.00900 167s [1] validation_0-logloss:0.00876 167s [2] validation_0-logloss:0.00852 167s [3] validation_0-logloss:0.00835 167s [4] validation_0-logloss:0.00810 167s [5] validation_0-logloss:0.00791 167s [6] validation_0-logloss:0.00764 167s [7] validation_0-logloss:0.00753 167s [8] validation_0-logloss:0.00739 167s [9] validation_0-logloss:0.00723 167s [10] validation_0-logloss:0.00706 167s [11] validation_0-logloss:0.00695 167s [12] validation_0-logloss:0.00688 167s [13] validation_0-logloss:0.00671 167s [14] validation_0-logloss:0.00662 167s [15] validation_0-logloss:0.00650 167s [16] validation_0-logloss:0.00637 167s [17] validation_0-logloss:0.00628 167s [18] validation_0-logloss:0.00623 167s [19] validation_0-logloss:0.00618 167s [20] validation_0-logloss:0.00614 167s [21] validation_0-logloss:0.00609 167s [22] validation_0-logloss:0.00600 167s [23] validation_0-logloss:0.00590 167s [24] validation_0-logloss:0.00582 167s [25] validation_0-logloss:0.00578 167s [26] validation_0-logloss:0.00570 167s [27] validation_0-logloss:0.00566 167s [28] validation_0-logloss:0.00563 167s [29] validation_0-logloss:0.00559 167s [30] validation_0-logloss:0.00556 167s [31] validation_0-logloss:0.00553 167s [32] validation_0-logloss:0.00549 167s [33] validation_0-logloss:0.00546 167s [34] validation_0-logloss:0.00543 167s [35] validation_0-logloss:0.00540 167s [36] validation_0-logloss:0.00537 167s [37] validation_0-logloss:0.00534 167s [38] validation_0-logloss:0.00531 167s [39] validation_0-logloss:0.00528 167s [40] validation_0-logloss:0.00525 167s [41] validation_0-logloss:0.00523 167s [42] validation_0-logloss:0.00520 167s [43] validation_0-logloss:0.00517 167s [44] validation_0-logloss:0.00515 167s [45] validation_0-logloss:0.00512 167s [46] validation_0-logloss:0.00510 167s [47] validation_0-logloss:0.00507 167s [48] validation_0-logloss:0.00505 167s [49] validation_0-logloss:0.00502 167s [50] validation_0-logloss:0.00500 167s [51] validation_0-logloss:0.00498 167s [52] validation_0-logloss:0.00496 167s [53] validation_0-logloss:0.00493 167s [54] validation_0-logloss:0.00491 167s [55] validation_0-logloss:0.00489 167s [56] validation_0-logloss:0.00486 167s [57] validation_0-logloss:0.00484 167s [58] validation_0-logloss:0.00482 167s [59] validation_0-logloss:0.00480 167s [60] validation_0-logloss:0.00478 167s [61] validation_0-logloss:0.00476 167s [62] validation_0-logloss:0.00474 167s [63] validation_0-logloss:0.00472 167s [64] validation_0-logloss:0.00470 167s [65] validation_0-logloss:0.00468 167s [66] validation_0-logloss:0.00466 167s [67] validation_0-logloss:0.00464 167s [68] validation_0-logloss:0.00463 167s [69] validation_0-logloss:0.00461 167s [70] validation_0-logloss:0.00459 167s [71] validation_0-logloss:0.00457 167s [72] validation_0-logloss:0.00456 167s [73] validation_0-logloss:0.00454 167s [74] validation_0-logloss:0.00452 167s [75] validation_0-logloss:0.00451 167s [76] validation_0-logloss:0.00449 167s [77] validation_0-logloss:0.00448 167s [78] validation_0-logloss:0.00446 167s [79] validation_0-logloss:0.00444 167s [80] validation_0-logloss:0.00443 167s [81] validation_0-logloss:0.00441 167s [82] validation_0-logloss:0.00440 167s [83] validation_0-logloss:0.00438 167s [84] validation_0-logloss:0.00437 167s [85] validation_0-logloss:0.00435 167s [86] validation_0-logloss:0.00434 167s [87] validation_0-logloss:0.00433 167s [88] validation_0-logloss:0.00431 167s [89] validation_0-logloss:0.00430 167s [90] validation_0-logloss:0.00429 167s [91] validation_0-logloss:0.00427 167s [92] validation_0-logloss:0.00426 167s [93] validation_0-logloss:0.00425 167s [94] validation_0-logloss:0.00423 167s [95] validation_0-logloss:0.00422 167s Total boosted rounds: 128 167s [0] validation_0-logloss:0.43281 167s [1] validation_0-logloss:0.30816 167s [2] validation_0-logloss:0.22816 167s [3] validation_0-logloss:0.17470 167s [4] validation_0-logloss:0.13438 167s [5] validation_0-logloss:0.10538 167s [6] validation_0-logloss:0.08467 167s [7] validation_0-logloss:0.06909 167s [8] validation_0-logloss:0.05766 167s [9] validation_0-logloss:0.04842 167s [10] validation_0-logloss:0.04121 167s [11] validation_0-logloss:0.03545 167s [12] validation_0-logloss:0.03077 167s [13] validation_0-logloss:0.02742 167s [14] validation_0-logloss:0.02444 167s [15] validation_0-logloss:0.02208 167s [16] validation_0-logloss:0.01993 167s [17] validation_0-logloss:0.01819 167s [18] validation_0-logloss:0.01676 167s [19] validation_0-logloss:0.01575 167s [20] validation_0-logloss:0.01461 167s [21] validation_0-logloss:0.01383 167s [22] validation_0-logloss:0.01304 167s [23] validation_0-logloss:0.01243 167s [24] validation_0-logloss:0.01179 167s [25] validation_0-logloss:0.01142 167s [26] validation_0-logloss:0.01103 167s [27] validation_0-logloss:0.01066 167s [28] validation_0-logloss:0.01037 167s [29] validation_0-logloss:0.00993 167s [30] validation_0-logloss:0.00966 167s [31] validation_0-logloss:0.00920 167s [32] validation_0-logloss:0.00900 167s [33] validation_0-logloss:0.00876 167s [34] validation_0-logloss:0.00852 167s [35] validation_0-logloss:0.00835 167s [36] validation_0-logloss:0.00810 167s [37] validation_0-logloss:0.00791 167s [38] validation_0-logloss:0.00764 167s [39] validation_0-logloss:0.00753 167s [40] validation_0-logloss:0.00739 167s [41] validation_0-logloss:0.00723 167s [42] validation_0-logloss:0.00706 167s [43] validation_0-logloss:0.00695 167s [44] validation_0-logloss:0.00688 167s [45] validation_0-logloss:0.00671 167s [46] validation_0-logloss:0.00662 167s [47] validation_0-logloss:0.00650 167s [48] validation_0-logloss:0.00637 167s [49] validation_0-logloss:0.00628 167s [50] validation_0-logloss:0.00623 167s [51] validation_0-logloss:0.00618 167s [52] validation_0-logloss:0.00614 167s [53] validation_0-logloss:0.00609 167s [54] validation_0-logloss:0.00600 167s [55] validation_0-logloss:0.00590 167s [56] validation_0-logloss:0.00582 167s [57] validation_0-logloss:0.00578 167s [58] validation_0-logloss:0.00570 167s [59] validation_0-logloss:0.00566 167s [60] validation_0-logloss:0.00563 167s [61] validation_0-logloss:0.00559 167s [62] validation_0-logloss:0.00556 167s [63] validation_0-logloss:0.00553 167s [64] validation_0-logloss:0.00549 167s [65] validation_0-logloss:0.00546 167s [66] validation_0-logloss:0.00543 167s [67] validation_0-logloss:0.00540 167s [68] validation_0-logloss:0.00537 167s [69] validation_0-logloss:0.00534 167s [70] validation_0-logloss:0.00531 167s [71] validation_0-logloss:0.00528 167s [72] validation_0-logloss:0.00525 167s [73] validation_0-logloss:0.00523 167s [74] validation_0-logloss:0.00520 167s [75] validation_0-logloss:0.00517 167s [76] validation_0-logloss:0.00515 167s [77] validation_0-logloss:0.00512 167s [78] validation_0-logloss:0.00510 167s [79] validation_0-logloss:0.00507 167s [80] validation_0-logloss:0.00505 167s [81] validation_0-logloss:0.00502 167s [82] validation_0-logloss:0.00500 167s [83] validation_0-logloss:0.00498 167s [84] validation_0-logloss:0.00496 167s [85] validation_0-logloss:0.00493 167s [86] validation_0-logloss:0.00491 167s [87] validation_0-logloss:0.00489 167s [88] validation_0-logloss:0.00486 167s [89] validation_0-logloss:0.00484 167s [90] validation_0-logloss:0.00482 167s [91] validation_0-logloss:0.00480 167s [92] validation_0-logloss:0.00478 167s [93] validation_0-logloss:0.00476 167s [94] validation_0-logloss:0.00474 167s [95] validation_0-logloss:0.00472 167s [96] validation_0-logloss:0.00470 167s [97] validation_0-logloss:0.00468 167s [98] validation_0-logloss:0.00466 167s [99] validation_0-logloss:0.00464 167s [100] validation_0-logloss:0.00463 167s [101] validation_0-logloss:0.00461 167s [102] validation_0-logloss:0.00459 167s [103] validation_0-logloss:0.00457 167s [104] validation_0-logloss:0.00456 167s [105] validation_0-logloss:0.00454 167s [106] validation_0-logloss:0.00452 167s [107] validation_0-logloss:0.00451 167s [108] validation_0-logloss:0.00449 167s [109] validation_0-logloss:0.00448 167s [110] validation_0-logloss:0.00446 167s [111] validation_0-logloss:0.00444 167s [112] validation_0-logloss:0.00443 167s [113] validation_0-logloss:0.00441 167s [114] validation_0-logloss:0.00440 167s [115] validation_0-logloss:0.00438 167s [116] validation_0-logloss:0.00437 167s [117] validation_0-logloss:0.00435 167s [118] validation_0-logloss:0.00434 167s [119] validation_0-logloss:0.00433 167s [120] validation_0-logloss:0.00431 167s [121] validation_0-logloss:0.00430 167s [122] validation_0-logloss:0.00429 167s [123] validation_0-logloss:0.00427 167s [124] validation_0-logloss:0.00426 167s [125] validation_0-logloss:0.00425 167s [126] validation_0-logloss:0.00423 167s [127] validation_0-logloss:0.00422 167s Total boosted rounds: 128 167s [0] validation_0-logloss:0.43281 167s [1] validation_0-logloss:0.30816 167s [2] validation_0-logloss:0.22816 167s [3] validation_0-logloss:0.17470 167s [4] validation_0-logloss:0.13438 167s [5] validation_0-logloss:0.10538 167s [6] validation_0-logloss:0.08467 167s [7] validation_0-logloss:0.06909 167s [8] validation_0-logloss:0.05766 167s [9] validation_0-logloss:0.04842 167s [10] validation_0-logloss:0.04121 167s [11] validation_0-logloss:0.03545 167s [12] validation_0-logloss:0.03077 167s [13] validation_0-logloss:0.02742 167s [14] validation_0-logloss:0.02444 167s [15] validation_0-logloss:0.02208 167s [16] validation_0-logloss:0.01993 167s [17] validation_0-logloss:0.01819 167s [18] validation_0-logloss:0.01676 167s [19] validation_0-logloss:0.01575 167s [20] validation_0-logloss:0.01461 167s [21] validation_0-logloss:0.01383 167s [22] validation_0-logloss:0.01304 167s [23] validation_0-logloss:0.01243 167s [24] validation_0-logloss:0.01179 167s [25] validation_0-logloss:0.01142 167s [26] validation_0-logloss:0.01103 167s [27] validation_0-logloss:0.01066 167s [28] validation_0-logloss:0.01037 167s [29] validation_0-logloss:0.00993 167s [30] validation_0-logloss:0.00966 167s [31] validation_0-logloss:0.00920 167s [0] validation_0-logloss:0.00900 167s [1] validation_0-logloss:0.00876 167s [2] validation_0-logloss:0.00852 167s [3] validation_0-logloss:0.00835 167s [4] validation_0-logloss:0.00810 167s [5] validation_0-logloss:0.00791 167s [6] validation_0-logloss:0.00764 167s [7] validation_0-logloss:0.00753 167s [8] validation_0-logloss:0.00739 167s [9] validation_0-logloss:0.00723 167s [10] validation_0-logloss:0.00706 167s [11] validation_0-logloss:0.00695 167s [12] validation_0-logloss:0.00688 167s [13] validation_0-logloss:0.00671 167s [14] validation_0-logloss:0.00662 167s [15] validation_0-logloss:0.00650 167s [16] validation_0-logloss:0.00637 167s [17] validation_0-logloss:0.00628 167s [18] validation_0-logloss:0.00623 167s [19] validation_0-logloss:0.00618 167s [20] validation_0-logloss:0.00614 167s [21] validation_0-logloss:0.00609 167s [22] validation_0-logloss:0.00600 167s [23] validation_0-logloss:0.00590 167s [24] validation_0-logloss:0.00582 167s [25] validation_0-logloss:0.00578 167s [26] validation_0-logloss:0.00570 167s [27] validation_0-logloss:0.00566 167s [28] validation_0-logloss:0.00563 167s [29] validation_0-logloss:0.00559 167s [30] validation_0-logloss:0.00556 167s [31] validation_0-logloss:0.00553 167s [32] validation_0-logloss:0.00549 167s [33] validation_0-logloss:0.00546 167s [34] validation_0-logloss:0.00543 167s [35] validation_0-logloss:0.00540 167s [36] validation_0-logloss:0.00537 167s [37] validation_0-logloss:0.00534 167s [38] validation_0-logloss:0.00531 167s [39] validation_0-logloss:0.00528 167s [40] validation_0-logloss:0.00525 167s [41] validation_0-logloss:0.00523 167s [42] validation_0-logloss:0.00520 167s [43] validation_0-logloss:0.00517 167s [44] validation_0-logloss:0.00515 167s [45] validation_0-logloss:0.00512 167s [46] validation_0-logloss:0.00510 167s [47] validation_0-logloss:0.00507 167s [48] validation_0-logloss:0.00505 167s [49] validation_0-logloss:0.00502 167s [50] validation_0-logloss:0.00500 167s [51] validation_0-logloss:0.00498 167s [52] validation_0-logloss:0.00496 167s [53] validation_0-logloss:0.00493 167s [54] validation_0-logloss:0.00491 167s [55] validation_0-logloss:0.00489 167s [56] validation_0-logloss:0.00486 167s [57] validation_0-logloss:0.00484 167s [58] validation_0-logloss:0.00482 167s [59] validation_0-logloss:0.00480 167s [60] validation_0-logloss:0.00478 167s [61] validation_0-logloss:0.00476 167s [62] validation_0-logloss:0.00474 167s [63] validation_0-logloss:0.00472 167s [64] validation_0-logloss:0.00470 167s [65] validation_0-logloss:0.00468 167s [66] validation_0-logloss:0.00466 167s [67] validation_0-logloss:0.00464 167s [68] validation_0-logloss:0.00463 167s [69] validation_0-logloss:0.00461 167s [70] validation_0-logloss:0.00459 167s [71] validation_0-logloss:0.00457 167s [72] validation_0-logloss:0.00456 167s [73] validation_0-logloss:0.00454 167s [74] validation_0-logloss:0.00452 167s [75] validation_0-logloss:0.00451 167s [76] validation_0-logloss:0.00449 167s [77] validation_0-logloss:0.00448 167s [78] validation_0-logloss:0.00446 167s [79] validation_0-logloss:0.00444 167s [80] validation_0-logloss:0.00443 167s [81] validation_0-logloss:0.00441 167s [82] validation_0-logloss:0.00440 167s [83] validation_0-logloss:0.00438 167s [84] validation_0-logloss:0.00437 167s [85] validation_0-logloss:0.00435 167s [86] validation_0-logloss:0.00434 167s [87] validation_0-logloss:0.00433 167s [88] validation_0-logloss:0.00431 167s [89] validation_0-logloss:0.00430 167s [90] validation_0-logloss:0.00429 167s [91] validation_0-logloss:0.00427 167s [92] validation_0-logloss:0.00426 167s [93] validation_0-logloss:0.00425 167s [94] validation_0-logloss:0.00423 167s [95] validation_0-logloss:0.00422 167s Total boosted rounds: 128 168s ========================================== 168s Running case cross_validation.py... 169s running cross validation 169s [0] train-error:0.05067+0.00920 test-error:0.05573+0.01589 169s [1] train-error:0.02130+0.00206 test-error:0.02119+0.00365 169s running cross validation, disable standard deviation display 169s [0] train-error:0.05067 test-error:0.05573 169s [1] train-error:0.02130 test-error:0.02119 169s [2] train-error:0.00994 test-error:0.00998 169s [3] train-error:0.01413 test-error:0.01443 169s [4] train-error:0.00599 test-error:0.00630 169s [5] train-error:0.00203 test-error:0.00169 169s [6] train-error:0.00123 test-error:0.00123 169s [7] train-error:0.00123 test-error:0.00123 169s [8] train-error:0.00092 test-error:0.00123 169s [9] train-error:0.00061 test-error:0.00123 169s /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`. 169s warnings.warn( 169s train-error-mean train-error-std test-error-mean test-error-std 169s 0 0.050668 0.009201 0.055732 0.015889 169s 1 0.021303 0.002055 0.021188 0.003653 169s 2 0.009942 0.006076 0.009979 0.004828 169s 3 0.014126 0.001706 0.014433 0.003517 169s 4 0.005988 0.001878 0.006295 0.003123 169s 5 0.002034 0.001469 0.001689 0.000574 169s 6 0.001228 0.000260 0.001228 0.001041 169s running cross validation, with preprocessing function 169s running cross validation, with customized loss function 169s ========================================== 169s Running case custom_rmsle.py... 169s /tmp/autopkgtest.srUgHv/build.h9Q/src/demo/guide-python/custom_rmsle.py:139: SyntaxWarning: invalid escape sequence '\s' 169s :math:`\sqrt{\frac{1}{N}[log(pred + 1) - log(label + 1)]^2}` 171s Squared Error 171s [0] dtrain-rmse:682.95908 dtest-rmse:745.95555 171s [1] dtrain-rmse:627.66199 dtest-rmse:751.49583 171s [2] dtrain-rmse:596.74396 dtest-rmse:766.33054 171s [3] dtrain-rmse:555.92371 dtest-rmse:776.92703 171s [4] dtrain-rmse:519.58613 dtest-rmse:789.74145 171s [5] dtrain-rmse:501.26007 dtest-rmse:805.22881 171s [6] dtrain-rmse:453.81757 dtest-rmse:810.70817 171s [7] dtrain-rmse:423.51474 dtest-rmse:822.61798 171s [8] dtrain-rmse:383.34479 dtest-rmse:826.43243 171s [9] dtrain-rmse:371.08179 dtest-rmse:827.23674 171s [10] dtrain-rmse:353.11776 dtest-rmse:828.84174 171s [11] dtrain-rmse:316.42149 dtest-rmse:832.98904 171s [12] dtrain-rmse:300.24359 dtest-rmse:834.90637 171s [13] dtrain-rmse:285.81935 dtest-rmse:836.55001 171s [14] dtrain-rmse:278.47432 dtest-rmse:838.29965 171s [15] dtrain-rmse:266.08310 dtest-rmse:840.16158 171s [16] dtrain-rmse:261.48875 dtest-rmse:841.45332 171s [17] dtrain-rmse:253.15765 dtest-rmse:841.96773 171s [18] dtrain-rmse:246.41335 dtest-rmse:842.26433 171s [19] dtrain-rmse:242.90377 dtest-rmse:843.24280 171s Finished Squared Error in: 0.07352304458618164 171s 171s Squared Log Error 171s [0] dtrain-rmsle:1.31939 dtest-rmsle:1.26056 171s [1] dtrain-rmsle:1.22093 dtest-rmsle:1.16061 171s [2] dtrain-rmsle:1.13670 dtest-rmsle:1.07549 171s [3] dtrain-rmsle:1.06691 dtest-rmsle:1.00568 171s [4] dtrain-rmsle:1.01079 dtest-rmsle:0.95190 171s [5] dtrain-rmsle:0.96709 dtest-rmsle:0.91206 171s [6] dtrain-rmsle:0.93453 dtest-rmsle:0.88458 171s [7] dtrain-rmsle:0.90925 dtest-rmsle:0.86580 171s [8] dtrain-rmsle:0.89139 dtest-rmsle:0.85326 171s [9] dtrain-rmsle:0.87620 dtest-rmsle:0.84621 171s [10] dtrain-rmsle:0.86538 dtest-rmsle:0.84136 171s [11] dtrain-rmsle:0.85715 dtest-rmsle:0.83849 171s [12] dtrain-rmsle:0.84866 dtest-rmsle:0.83767 171s [13] dtrain-rmsle:0.84230 dtest-rmsle:0.83693 171s [14] dtrain-rmsle:0.83639 dtest-rmsle:0.83785 171s [15] dtrain-rmsle:0.83076 dtest-rmsle:0.83853 171s [16] dtrain-rmsle:0.82671 dtest-rmsle:0.83887 171s [17] dtrain-rmsle:0.82297 dtest-rmsle:0.83883 171s [18] dtrain-rmsle:0.81919 dtest-rmsle:0.83945 171s [19] dtrain-rmsle:0.81638 dtest-rmsle:0.83981 171s Finished Squared Log Error in: 0.06384158134460449 171s [0] dtrain-PyRMSLE:1.37154 dtest-PyRMSLE:1.31491 171s [1] dtrain-PyRMSLE:1.26642 dtest-PyRMSLE:1.20792 171s [2] dtrain-PyRMSLE:1.17525 dtest-PyRMSLE:1.11539 171s [3] dtrain-PyRMSLE:1.09848 dtest-PyRMSLE:1.03800 171s [4] dtrain-PyRMSLE:1.03565 dtest-PyRMSLE:0.97673 171s [5] dtrain-PyRMSLE:0.98595 dtest-PyRMSLE:0.93063 171s [6] dtrain-PyRMSLE:0.94774 dtest-PyRMSLE:0.89723 171s [7] dtrain-PyRMSLE:0.91977 dtest-PyRMSLE:0.87448 171s [8] dtrain-PyRMSLE:0.89796 dtest-PyRMSLE:0.85932 171s [9] dtrain-PyRMSLE:0.88141 dtest-PyRMSLE:0.85028 171s [10] dtrain-PyRMSLE:0.86816 dtest-PyRMSLE:0.84450 171s [11] dtrain-PyRMSLE:0.85991 dtest-PyRMSLE:0.84015 171s [12] dtrain-PyRMSLE:0.85120 dtest-PyRMSLE:0.83900 171s [13] dtrain-PyRMSLE:0.84384 dtest-PyRMSLE:0.83775 171s [14] dtrain-PyRMSLE:0.83741 dtest-PyRMSLE:0.83732 171s [15] dtrain-PyRMSLE:0.83253 dtest-PyRMSLE:0.83800 171s [16] dtrain-PyRMSLE:0.82842 dtest-PyRMSLE:0.83827 171s [17] dtrain-PyRMSLE:0.82535 dtest-PyRMSLE:0.83844 171s [18] dtrain-PyRMSLE:0.82169 dtest-PyRMSLE:0.83953 171s [19] dtrain-PyRMSLE:0.81857 dtest-PyRMSLE:0.84046 171s ========================================== 171s Running case custom_softmax.py... 172s /tmp/autopkgtest.srUgHv/build.h9Q/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.) 172s grad[r, c] = g 172s [0] train-PyMError:0.14000 172s [1] train-PyMError:0.00000 172s [2] train-PyMError:0.01000 172s [3] train-PyMError:0.00000 172s [4] train-PyMError:0.00000 172s [5] train-PyMError:0.00000 172s [6] train-PyMError:0.00000 172s [7] train-PyMError:0.00000 172s [8] train-PyMError:0.00000 172s [9] train-PyMError:0.00000 172s [0] train-merror:0.14000 172s [1] train-merror:0.00000 172s [2] train-merror:0.01000 172s [3] train-merror:0.00000 172s [4] train-merror:0.00000 172s [5] train-merror:0.00000 172s [6] train-merror:0.00000 172s [7] train-merror:0.00000 172s [8] train-merror:0.00000 172s [9] train-merror:0.00000 173s ========================================== 173s Running case evals_result.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:0.47977 eval-error:0.04283 train-logloss:0.48196 train-error:0.04652 174s [1] eval-logloss:0.35740 eval-error:0.04283 train-logloss:0.35919 train-error:0.04652 174s Access logloss metric directly from evals_result: 174s [0.4797663698279288, 0.35739665886839306] 174s 174s Access metrics through a loop: 174s - eval 174s - logloss 174s - [0.4797663698279288, 0.35739665886839306] 174s - error 174s - [0.04283054003724395, 0.04283054003724395] 174s - train 174s - logloss 174s - [0.4819583435789261, 0.35919429156594646] 174s - error 174s - [0.04652233993551359, 0.04652233993551359] 174s 174s Access complete dictionary: 174s {'eval': OrderedDict({'logloss': [0.4797663698279288, 0.35739665886839306], 'error': [0.04283054003724395, 0.04283054003724395]}), 'train': OrderedDict({'logloss': [0.4819583435789261, 0.35919429156594646], 'error': [0.04652233993551359, 0.04652233993551359]})} 174s ========================================== 174s Running case external_memory.py... 176s [0] Train-rmse:170.67905 176s [1] Train-rmse:166.88130 176s [2] Train-rmse:163.67251 176s [3] Train-rmse:160.83024 176s [4] Train-rmse:158.26351 176s [5] Train-rmse:155.91569 176s [6] Train-rmse:153.74380 176s [7] Train-rmse:151.74583 176s [8] Train-rmse:149.92400 176s [9] Train-rmse:148.14658 176s ========================================== 176s Running case feature_weights.py... 177s [0] d-rmse:1.00430 177s [1] d-rmse:0.99638 177s [2] d-rmse:0.98161 177s [3] d-rmse:0.97086 177s [4] d-rmse:0.96269 177s [5] d-rmse:0.94829 177s [6] d-rmse:0.93914 177s [7] d-rmse:0.93187 177s [8] d-rmse:0.92274 177s [9] d-rmse:0.91749 178s ========================================== 178s Skip case gamma_regression.py... 178s ========================================== 178s Running case generalized_linear_model.py... 179s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 179s warnings.warn(msg, FutureWarning) 179s [0] eval-logloss:0.57153 train-logloss:0.56888 179s [1] eval-logloss:0.53008 train-logloss:0.52645 179s [2] eval-logloss:0.51441 train-logloss:0.51040 179s [3] eval-logloss:0.50819 train-logloss:0.50405 179s error=0.118560 179s ========================================== 179s Running case individual_trees.py... 180s ========================================== 180s Skip case learning_to_rank.py... 180s ========================================== 180s Running case multioutput_regression.py... 182s [0] validation_0-rmse:0.29417 182s [1] validation_0-rmse:0.26360 182s [2] validation_0-rmse:0.23619 182s [3] validation_0-rmse:0.22068 182s [4] validation_0-rmse:0.20681 182s [5] validation_0-rmse:0.19295 182s [6] validation_0-rmse:0.17849 182s [7] validation_0-rmse:0.16562 182s [8] validation_0-rmse:0.15492 182s [9] validation_0-rmse:0.14493 182s [10] validation_0-rmse:0.13892 182s [11] validation_0-rmse:0.13172 182s [12] validation_0-rmse:0.12253 182s [13] validation_0-rmse:0.11744 182s [14] validation_0-rmse:0.10981 182s [15] validation_0-rmse:0.10176 182s [16] validation_0-rmse:0.09476 182s [17] 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validation_0-rmse:0.00093 182s [110] validation_0-rmse:0.00091 182s [111] validation_0-rmse:0.00087 182s [112] validation_0-rmse:0.00086 182s [113] validation_0-rmse:0.00084 182s [114] validation_0-rmse:0.00084 182s [115] validation_0-rmse:0.00083 182s [116] validation_0-rmse:0.00083 182s [117] validation_0-rmse:0.00082 182s [118] validation_0-rmse:0.00082 182s [119] validation_0-rmse:0.00081 182s [120] validation_0-rmse:0.00080 182s [121] validation_0-rmse:0.00079 182s [122] validation_0-rmse:0.00079 182s [123] validation_0-rmse:0.00078 182s [124] validation_0-rmse:0.00078 182s [125] validation_0-rmse:0.00077 182s [126] validation_0-rmse:0.00077 182s [127] validation_0-rmse:0.00076 182s [0] Train-rmse:0.28597 Train-PyRMSE:4.04424 182s [1] Train-rmse:0.25494 Train-PyRMSE:3.60534 182s [2] Train-rmse:0.23359 Train-PyRMSE:3.30341 182s [3] Train-rmse:0.21640 Train-PyRMSE:3.06038 182s [4] Train-rmse:0.20574 Train-PyRMSE:2.90962 182s [5] Train-rmse:0.19311 Train-PyRMSE:2.73098 182s [6] 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Train-PyRMSE:0.48498 182s [58] Train-rmse:0.03400 Train-PyRMSE:0.48083 182s [59] Train-rmse:0.03295 Train-PyRMSE:0.46597 182s [60] Train-rmse:0.03237 Train-PyRMSE:0.45775 182s [61] Train-rmse:0.03091 Train-PyRMSE:0.43707 182s [62] Train-rmse:0.02998 Train-PyRMSE:0.42399 182s [63] Train-rmse:0.02849 Train-PyRMSE:0.40286 182s [64] Train-rmse:0.02729 Train-PyRMSE:0.38595 182s [65] Train-rmse:0.02692 Train-PyRMSE:0.38069 182s [66] Train-rmse:0.02618 Train-PyRMSE:0.37018 182s [67] Train-rmse:0.02588 Train-PyRMSE:0.36600 182s [68] Train-rmse:0.02491 Train-PyRMSE:0.35229 182s [69] Train-rmse:0.02428 Train-PyRMSE:0.34344 182s [70] Train-rmse:0.02398 Train-PyRMSE:0.33907 182s [71] Train-rmse:0.02309 Train-PyRMSE:0.32650 182s [72] Train-rmse:0.02219 Train-PyRMSE:0.31381 182s [73] Train-rmse:0.02094 Train-PyRMSE:0.29616 182s [74] Train-rmse:0.02079 Train-PyRMSE:0.29398 182s [75] Train-rmse:0.02028 Train-PyRMSE:0.28685 182s [76] Train-rmse:0.01931 Train-PyRMSE:0.27311 182s [77] Train-rmse:0.01919 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Train-PyRMSE:0.14109 182s [98] Train-rmse:0.00954 Train-PyRMSE:0.13496 182s [99] Train-rmse:0.00948 Train-PyRMSE:0.13406 182s [100] Train-rmse:0.00926 Train-PyRMSE:0.13098 182s [101] Train-rmse:0.00901 Train-PyRMSE:0.12747 182s [102] Train-rmse:0.00885 Train-PyRMSE:0.12510 182s [103] Train-rmse:0.00847 Train-PyRMSE:0.11979 182s [104] Train-rmse:0.00833 Train-PyRMSE:0.11784 182s [105] Train-rmse:0.00791 Train-PyRMSE:0.11187 182s [106] Train-rmse:0.00787 Train-PyRMSE:0.11125 182s [107] Train-rmse:0.00755 Train-PyRMSE:0.10682 182s [108] Train-rmse:0.00724 Train-PyRMSE:0.10245 182s [109] Train-rmse:0.00705 Train-PyRMSE:0.09976 182s [110] Train-rmse:0.00683 Train-PyRMSE:0.09662 182s [111] Train-rmse:0.00656 Train-PyRMSE:0.09274 182s [112] Train-rmse:0.00641 Train-PyRMSE:0.09058 182s [113] Train-rmse:0.00631 Train-PyRMSE:0.08921 182s [114] Train-rmse:0.00606 Train-PyRMSE:0.08569 182s [115] Train-rmse:0.00583 Train-PyRMSE:0.08241 182s [116] Train-rmse:0.00578 Train-PyRMSE:0.08175 182s [117] Train-rmse:0.00562 Train-PyRMSE:0.07946 182s [118] Train-rmse:0.00553 Train-PyRMSE:0.07818 182s [119] Train-rmse:0.00533 Train-PyRMSE:0.07539 182s [120] Train-rmse:0.00514 Train-PyRMSE:0.07262 182s [121] Train-rmse:0.00510 Train-PyRMSE:0.07211 182s [122] Train-rmse:0.00501 Train-PyRMSE:0.07088 182s [123] Train-rmse:0.00489 Train-PyRMSE:0.06912 182s [124] Train-rmse:0.00475 Train-PyRMSE:0.06722 182s [125] Train-rmse:0.00473 Train-PyRMSE:0.06690 182s [126] Train-rmse:0.00467 Train-PyRMSE:0.06603 182s [127] Train-rmse:0.00443 Train-PyRMSE:0.06259 182s ========================================== 182s Running case predict_first_ntree.py... 183s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 183s warnings.warn(msg, FutureWarning) 183s [0] eval-logloss:0.22646 train-logloss:0.23316 183s [1] eval-logloss:0.13776 train-logloss:0.13654 183s [2] eval-logloss:0.08036 train-logloss:0.08243 183s start testing prediction from first n trees 183s error of ypred1=0.042831 183s error of ypred2=0.006207 183s [0] validation_0-logloss:0.22646 183s [1] validation_0-logloss:0.13776 183s [2] validation_0-logloss:0.08036 183s start testing prediction from first n trees 183s error of ypred1=0.042831 183s error of ypred2=0.006207 184s ========================================== 184s Running case predict_leaf_indices.py... 185s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 185s warnings.warn(msg, FutureWarning) 185s [0] eval-logloss:0.22646 train-logloss:0.23316 185s [1] eval-logloss:0.13776 train-logloss:0.13654 185s [2] eval-logloss:0.08036 train-logloss:0.08243 185s start testing predict the leaf indices 185s (1611, 2, 1, 1) 185s [[[[5.]] 185s 185s [[4.]]] 185s 185s 185s [[[6.]] 185s 185s [[4.]]] 185s 185s 185s [[[5.]] 185s 185s [[4.]]] 185s 185s 185s ... 185s 185s 185s [[[6.]] 185s 185s [[4.]]] 185s 185s 185s [[[4.]] 185s 185s [[3.]]] 185s 185s 185s [[[6.]] 185s 185s [[4.]]]] 185s (1611, 3) 185s ========================================== 185s Skip case quantile_data_iterator.py... 185s ========================================== 185s Running case quantile_regression.py... 186s [0] Train-quantile:1.50159 Test-quantile:1.45489 186s [1] Train-quantile:1.41395 Test-quantile:1.36960 186s [2] Train-quantile:1.33178 Test-quantile:1.28702 186s [3] Train-quantile:1.25429 Test-quantile:1.21133 186s [4] Train-quantile:1.18373 Test-quantile:1.13959 186s [5] Train-quantile:1.11898 Test-quantile:1.07261 186s [6] Train-quantile:1.05770 Test-quantile:1.01264 186s [7] Train-quantile:1.00142 Test-quantile:0.96139 186s [8] Train-quantile:0.94844 Test-quantile:0.91339 186s [9] Train-quantile:0.89917 Test-quantile:0.86934 186s [10] Train-quantile:0.85692 Test-quantile:0.82830 186s [11] Train-quantile:0.81823 Test-quantile:0.79270 186s [12] Train-quantile:0.78400 Test-quantile:0.75817 186s [13] Train-quantile:0.75333 Test-quantile:0.72983 186s [14] Train-quantile:0.72555 Test-quantile:0.70335 186s [15] Train-quantile:0.69885 Test-quantile:0.67960 186s [16] Train-quantile:0.67482 Test-quantile:0.65947 186s [17] Train-quantile:0.65359 Test-quantile:0.64055 186s [18] Train-quantile:0.63363 Test-quantile:0.62346 186s [19] Train-quantile:0.61495 Test-quantile:0.60855 186s [20] Train-quantile:0.59783 Test-quantile:0.59489 186s [21] Train-quantile:0.58197 Test-quantile:0.58130 186s [22] Train-quantile:0.56682 Test-quantile:0.56949 186s [23] Train-quantile:0.55237 Test-quantile:0.55744 186s [24] Train-quantile:0.53809 Test-quantile:0.54622 186s [25] Train-quantile:0.52441 Test-quantile:0.53571 186s [26] Train-quantile:0.51174 Test-quantile:0.52520 186s [27] Train-quantile:0.49974 Test-quantile:0.51546 186s [28] Train-quantile:0.48865 Test-quantile:0.50628 186s [29] Train-quantile:0.47833 Test-quantile:0.49784 186s [30] Train-quantile:0.46895 Test-quantile:0.48966 186s [31] Train-quantile:0.45900 Test-quantile:0.48302 186s [0] Train-rmse:4.32523 Test-rmse:4.63143 186s [1] Train-rmse:4.21367 Test-rmse:4.53399 186s [2] Train-rmse:4.10813 Test-rmse:4.44222 186s [3] Train-rmse:4.00795 Test-rmse:4.35559 186s [4] Train-rmse:3.91314 Test-rmse:4.27507 186s [5] Train-rmse:3.82342 Test-rmse:4.19994 186s [6] Train-rmse:3.73860 Test-rmse:4.12864 186s [7] Train-rmse:3.65855 Test-rmse:4.06333 186s [8] Train-rmse:3.58302 Test-rmse:3.99920 186s [9] Train-rmse:3.51166 Test-rmse:3.94100 186s [10] Train-rmse:3.44443 Test-rmse:3.88581 186s [11] Train-rmse:3.38085 Test-rmse:3.83491 186s [12] Train-rmse:3.32121 Test-rmse:3.78659 186s [13] Train-rmse:3.26491 Test-rmse:3.74137 186s [14] Train-rmse:3.21217 Test-rmse:3.69918 186s [15] Train-rmse:3.16233 Test-rmse:3.66047 186s [16] Train-rmse:3.11625 Test-rmse:3.62292 186s [17] Train-rmse:3.07250 Test-rmse:3.58980 186s [18] Train-rmse:3.03120 Test-rmse:3.55971 186s [19] Train-rmse:2.99260 Test-rmse:3.53039 186s [20] Train-rmse:2.95471 Test-rmse:3.50273 186s [21] Train-rmse:2.92082 Test-rmse:3.47765 186s [22] Train-rmse:2.88707 Test-rmse:3.45409 186s [23] Train-rmse:2.85719 Test-rmse:3.43196 186s [24] Train-rmse:2.82955 Test-rmse:3.41116 186s [25] Train-rmse:2.80145 Test-rmse:3.39262 186s [26] Train-rmse:2.77526 Test-rmse:3.37544 186s [27] Train-rmse:2.75237 Test-rmse:3.35703 186s [28] Train-rmse:2.73071 Test-rmse:3.34065 186s [29] Train-rmse:2.70895 Test-rmse:3.32714 186s [30] Train-rmse:2.69007 Test-rmse:3.31295 186s [31] Train-rmse:2.67125 Test-rmse:3.30119 186s ========================================== 186s Running case sklearn_evals_result.py... 187s [0] validation_0-logloss:0.63169 validation_1-logloss:0.65974 187s [1] validation_0-logloss:0.58449 validation_1-logloss:0.62161 187s Access logloss metric directly from validation_0: 187s [0.6316909282654524, 0.5844871088303626] 187s 187s Access metrics through a loop: 187s - validation_0 187s - logloss 187s - [0.6316909282654524, 0.5844871088303626] 187s - validation_1 187s - logloss 187s - [0.6597448766976595, 0.6216080508381129] 187s 187s Access complete dict: 187s {'validation_0': OrderedDict({'logloss': [0.6316909282654524, 0.5844871088303626]}), 'validation_1': OrderedDict({'logloss': [0.6597448766976595, 0.6216080508381129]})} 187s ========================================== 187s Running case sklearn_examples.py... 191s Zeros and Ones from the Digits dataset: binary classification 191s [[87 0] 191s [ 1 92]] 191s [[91 0] 191s [ 3 86]] 191s Iris: multiclass classification 191s [[19 0 0] 191s [ 1 31 2] 191s [ 0 3 19]] 191s [[31 0 0] 191s [ 0 16 0] 191s [ 0 1 27]] 191s California Housing: regression 191s 0.2310805601814026 191s 0.23533764411819863 191s Parameter optimization 191s Fitting 3 folds for each of 4 candidates, totalling 12 fits 191s 0.6838972456687431 191s {'max_depth': 4, 'n_estimators': 100} 191s Pickling sklearn API models 191s True 191s [0] validation_0-auc:0.99020 191s [1] validation_0-auc:0.99975 191s [2] validation_0-auc:0.99975 191s [3] validation_0-auc:0.99975 192s [4] validation_0-auc:0.99975 192s [5] validation_0-auc:0.99975 192s [6] validation_0-auc:1.00000 192s [7] validation_0-auc:1.00000 192s [8] validation_0-auc:1.00000 192s [9] validation_0-auc:1.00000 192s [10] validation_0-auc:1.00000 192s [11] validation_0-auc:1.00000 192s [12] validation_0-auc:1.00000 192s [13] validation_0-auc:1.00000 192s [14] validation_0-auc:1.00000 192s [15] validation_0-auc:1.00000 192s ========================================== 192s Running case sklearn_parallel.py... 193s Parallel Parameter optimization 193s Fitting 5 folds for each of 9 candidates, totalling 45 fits 201s 0.688555675183378 201s {'max_depth': 4, 'n_estimators': 50} 201s Exception ignored in: 201s Traceback (most recent call last): 201s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 201s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 201s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 201s ChildProcessError: [Errno 10] No child processes 201s Exception ignored in: 201s Traceback (most recent call last): 201s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 201s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 201s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 201s ChildProcessError: [Errno 10] No child processes 202s ========================================== 202s Skip case spark_estimator_examples.py... 202s ========================================== 202s Skip case update_process.py... 202s ========================================== 202s All cases passed. 202s /tmp/autopkgtest.srUgHv/wrapper.sh: Killing leaked background processes: 2681 202s PID TTY STAT TIME COMMAND 202s 2681 ? R 0:00 /usr/bin/python3 -c from joblib.externals.loky.backend.resource_tracker import main; main(3, False) 202s autopkgtest [17:52:53]: test run-demos: -----------------------] 203s autopkgtest [17:52:54]: test run-demos: - - - - - - - - - - results - - - - - - - - - - 203s run-demos PASS 203s autopkgtest [17:52:54]: @@@@@@@@@@@@@@@@@@@@ summary 203s run-demos PASS 222s nova [W] Skipping flock for amd64 222s Creating nova instance adt-questing-amd64-xgboost-20250502-174931-juju-7f2275-prod-proposed-migration-environment-15-ebe94e50-0757-48ba-b47b-60f131d407cd from image adt/ubuntu-questing-amd64-server-20250502.img (UUID 9956ea44-e870-4bd8-8ad1-dc5f8a09f1f9)... 222s nova [W] Timed out waiting for e8989401-2864-4057-9218-21ad2e73e16a to get deleted.