0s autopkgtest [04:59:50]: starting date and time: 2025-05-02 04:59:50+0000 0s autopkgtest [04:59:50]: git checkout: 9986aa8c Merge branch 'skia/fix_network_interface' into 'ubuntu/production' 0s autopkgtest [04:59:50]: host juju-7f2275-prod-proposed-migration-environment-23; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.zg2lsrts/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:matplotlib --apt-upgrade xgboost --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=matplotlib/3.10.1+dfsg1-3 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor builder-cpu2-ram4-disk20 --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-23@bos03-14.secgroup --name adt-questing-amd64-xgboost-20250502-045949-juju-7f2275-prod-proposed-migration-environment-23-f438fdde-a398-4217-aedf-a9358798cfe4 --image adt/ubuntu-questing-amd64-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-23 --net-id=net_prod-proposed-migration-amd64 -e TERM=linux --mirror=http://ftpmaster.internal/ubuntu/ 76s autopkgtest [05:01:06]: testbed dpkg architecture: amd64 76s autopkgtest [05:01:06]: testbed apt version: 3.0.0 77s autopkgtest [05:01:07]: @@@@@@@@@@@@@@@@@@@@ test bed setup 77s autopkgtest [05:01:07]: testbed release detected to be: None 78s autopkgtest [05:01:08]: updating testbed package index (apt update) 78s Get:1 http://ftpmaster.internal/ubuntu questing-proposed InRelease [110 kB] 78s Hit:2 http://ftpmaster.internal/ubuntu questing InRelease 78s Hit:3 http://ftpmaster.internal/ubuntu questing-updates InRelease 78s Hit:4 http://ftpmaster.internal/ubuntu questing-security InRelease 78s Get:5 http://ftpmaster.internal/ubuntu questing-proposed/universe Sources [2202 kB] 81s Get:6 http://ftpmaster.internal/ubuntu questing-proposed/main Sources [184 kB] 82s Get:7 http://ftpmaster.internal/ubuntu questing-proposed/multiverse Sources [57.4 kB] 82s Get:8 http://ftpmaster.internal/ubuntu questing-proposed/main amd64 Packages [233 kB] 82s Get:9 http://ftpmaster.internal/ubuntu questing-proposed/main i386 Packages [173 kB] 82s Get:10 http://ftpmaster.internal/ubuntu questing-proposed/universe i386 Packages [800 kB] 83s Get:11 http://ftpmaster.internal/ubuntu questing-proposed/universe amd64 Packages [1659 kB] 85s Get:12 http://ftpmaster.internal/ubuntu questing-proposed/multiverse amd64 Packages [34.2 kB] 85s Get:13 http://ftpmaster.internal/ubuntu questing-proposed/multiverse i386 Packages [21.4 kB] 86s Fetched 5475 kB in 8s (714 kB/s) 86s Reading package lists... 87s autopkgtest [05:01:17]: upgrading testbed (apt dist-upgrade and autopurge) 87s Reading package lists... 88s Building dependency tree... 88s Reading state information... 88s Calculating upgrade...Starting pkgProblemResolver with broken count: 0 88s Starting 2 pkgProblemResolver with broken count: 0 88s Done 89s Entering ResolveByKeep 89s 89s Calculating upgrade... 89s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 90s Reading package lists... 90s Building dependency tree... 90s Reading state information... 90s Starting pkgProblemResolver with broken count: 0 90s Starting 2 pkgProblemResolver with broken count: 0 90s Done 91s Solving dependencies... 91s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 94s autopkgtest [05:01:24]: testbed running kernel: Linux 6.14.0-15-generic #15-Ubuntu SMP PREEMPT_DYNAMIC Sun Apr 6 15:05:05 UTC 2025 94s autopkgtest [05:01:24]: @@@@@@@@@@@@@@@@@@@@ apt-source xgboost 99s Get:1 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (dsc) [2340 B] 99s Get:2 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (tar) [2138 kB] 99s Get:3 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (diff) [23.2 kB] 99s gpgv: Signature made Wed Mar 5 01:20:21 2025 UTC 99s gpgv: using RSA key 25E3FF2D7F469DBE7D0D4E50AFCFEC8E669CE1C2 99s gpgv: Can't check signature: No public key 99s dpkg-source: warning: cannot verify inline signature for ./xgboost_2.1.4-1build1.dsc: no acceptable signature found 99s autopkgtest [05:01:29]: testing package xgboost version 2.1.4-1build1 100s autopkgtest [05:01:30]: build not needed 101s autopkgtest [05:01:31]: test run-demos: preparing testbed 101s Reading package lists... 101s Building dependency tree... 101s Reading state information... 102s Starting pkgProblemResolver with broken count: 0 102s Starting 2 pkgProblemResolver with broken count: 0 102s Done 102s The following NEW packages will be installed: 102s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3 102s libdeflate0 libdmlc0t64 libfontconfig1 libgfortran5 libgomp1 libgraphite2-3 102s libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery 102s libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libopenjp2-7 102s libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 libwebp7 102s libwebpdemux2 libwebpmux3 libxft2 libxgboost-dev libxgboost0 libxrender1 102s libxslt1.1 libxss1 python-matplotlib-data python3-brotli python3-contourpy 102s python3-cycler python3-decorator python3-fonttools python3-fs python3-joblib 102s python3-kiwisolver python3-lxml python3-lz4 python3-matplotlib 102s python3-mpmath python3-numpy python3-numpy-dev python3-pandas 102s python3-pandas-lib python3-pil python3-pil.imagetk python3-platformdirs 102s python3-pytz python3-scipy python3-sklearn python3-sklearn-lib python3-sympy 102s python3-threadpoolctl python3-tk python3-tz python3-ufolib2 102s python3-unicodedata2 python3-xgboost python3.13-tk tk8.6-blt2.5 unicode-data 102s x11-common 102s 0 upgraded, 74 newly installed, 0 to remove and 0 not upgraded. 102s Need to get 94.6 MB of archives. 102s After this operation, 398 MB of additional disk space will be used. 102s Get:1 http://ftpmaster.internal/ubuntu questing/main amd64 python3-numpy-dev amd64 1:2.2.3+ds-5 [148 kB] 103s Get:2 http://ftpmaster.internal/ubuntu questing/main amd64 libblas3 amd64 3.12.1-2 [359 kB] 103s Get:3 http://ftpmaster.internal/ubuntu questing/main amd64 libgfortran5 amd64 15-20250404-0ubuntu1 [926 kB] 104s Get:4 http://ftpmaster.internal/ubuntu questing/main amd64 liblapack3 amd64 3.12.1-2 [3179 kB] 108s Get:5 http://ftpmaster.internal/ubuntu questing/main amd64 python3-numpy amd64 1:2.2.3+ds-5 [5702 kB] 114s Get:6 http://ftpmaster.internal/ubuntu questing/main amd64 libtcl8.6 amd64 8.6.16+dfsg-1 [1086 kB] 115s Get:7 http://ftpmaster.internal/ubuntu questing/main amd64 fonts-dejavu-mono all 2.37-8 [502 kB] 115s Get:8 http://ftpmaster.internal/ubuntu questing/main amd64 fonts-dejavu-core all 2.37-8 [835 kB] 116s Get:9 http://ftpmaster.internal/ubuntu questing/main amd64 fontconfig-config amd64 2.15.0-2.2ubuntu1 [37.8 kB] 116s Get:10 http://ftpmaster.internal/ubuntu questing/main amd64 libfontconfig1 amd64 2.15.0-2.2ubuntu1 [164 kB] 116s Get:11 http://ftpmaster.internal/ubuntu questing/main amd64 libxrender1 amd64 1:0.9.10-1.1build1 [19.0 kB] 116s Get:12 http://ftpmaster.internal/ubuntu questing/main amd64 libxft2 amd64 2.3.6-1build1 [45.3 kB] 116s Get:13 http://ftpmaster.internal/ubuntu questing/main amd64 x11-common all 1:7.7+23ubuntu4 [21.8 kB] 116s Get:14 http://ftpmaster.internal/ubuntu questing/main amd64 libxss1 amd64 1:1.2.3-1build3 [7204 B] 116s Get:15 http://ftpmaster.internal/ubuntu questing/main amd64 libtk8.6 amd64 8.6.16-1 [868 kB] 117s Get:16 http://ftpmaster.internal/ubuntu questing/main amd64 tk8.6-blt2.5 amd64 2.5.3+dfsg-8 [694 kB] 118s Get:17 http://ftpmaster.internal/ubuntu questing/main amd64 blt amd64 2.5.3+dfsg-8 [4824 B] 118s Get:18 http://ftpmaster.internal/ubuntu questing/universe amd64 fonts-lyx all 2.4.3-1 [171 kB] 118s Get:19 http://ftpmaster.internal/ubuntu questing/main amd64 libdeflate0 amd64 1.23-1 [64.1 kB] 118s Get:20 http://ftpmaster.internal/ubuntu questing/main amd64 libgomp1 amd64 15-20250404-0ubuntu1 [151 kB] 118s Get:21 http://ftpmaster.internal/ubuntu questing/universe amd64 libdmlc0t64 amd64 0.5+git20240614.1334185-1 [186 kB] 119s Get:22 http://ftpmaster.internal/ubuntu questing/main amd64 libgraphite2-3 amd64 1.3.14-2ubuntu1 [73.1 kB] 119s Get:23 http://ftpmaster.internal/ubuntu questing/main amd64 libharfbuzz0b amd64 10.2.0-1 [543 kB] 119s Get:24 http://ftpmaster.internal/ubuntu questing/main amd64 libimagequant0 amd64 2.18.0-1build1 [36.3 kB] 119s Get:25 http://ftpmaster.internal/ubuntu questing/main amd64 libjpeg-turbo8 amd64 2.1.5-3ubuntu2 [179 kB] 119s Get:26 http://ftpmaster.internal/ubuntu questing/main amd64 libjpeg8 amd64 8c-2ubuntu11 [2148 B] 119s Get:27 http://ftpmaster.internal/ubuntu questing/main amd64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB] 120s Get:28 http://ftpmaster.internal/ubuntu questing/universe amd64 libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB] 120s Get:29 http://ftpmaster.internal/ubuntu questing/universe amd64 liblbfgsb0 amd64 3.0+dfsg.4-1build1 [29.9 kB] 120s Get:30 http://ftpmaster.internal/ubuntu questing/main amd64 liblcms2-2 amd64 2.16-2 [212 kB] 120s Get:31 http://ftpmaster.internal/ubuntu questing/main amd64 liblerc4 amd64 4.0.0+ds-5ubuntu1 [271 kB] 121s Get:32 http://ftpmaster.internal/ubuntu questing/universe amd64 libqhull-r8.0 amd64 2020.2-6build1 [193 kB] 121s Get:33 http://ftpmaster.internal/ubuntu questing/main amd64 libraqm0 amd64 0.10.2-1 [17.2 kB] 121s Get:34 http://ftpmaster.internal/ubuntu questing/main amd64 libsharpyuv0 amd64 1.5.0-0.1 [25.9 kB] 121s Get:35 http://ftpmaster.internal/ubuntu questing/main amd64 libjbig0 amd64 2.1-6.1ubuntu2 [29.7 kB] 121s Get:36 http://ftpmaster.internal/ubuntu questing/main amd64 libwebp7 amd64 1.5.0-0.1 [378 kB] 121s Get:37 http://ftpmaster.internal/ubuntu questing/main amd64 libtiff6 amd64 4.5.1+git230720-4ubuntu4 [200 kB] 122s Get:38 http://ftpmaster.internal/ubuntu questing/main amd64 libwebpdemux2 amd64 1.5.0-0.1 [13.0 kB] 122s Get:39 http://ftpmaster.internal/ubuntu questing/main amd64 libwebpmux3 amd64 1.5.0-0.1 [27.6 kB] 122s Get:40 http://ftpmaster.internal/ubuntu questing/universe amd64 libxgboost0 amd64 2.1.4-1build1 [2505 kB] 125s Get:41 http://ftpmaster.internal/ubuntu questing/universe amd64 libxgboost-dev amd64 2.1.4-1build1 [74.3 kB] 125s Get:42 http://ftpmaster.internal/ubuntu questing/main amd64 libxslt1.1 amd64 1.1.39-0exp1ubuntu4 [176 kB] 125s Get:43 http://ftpmaster.internal/ubuntu questing-proposed/universe amd64 python-matplotlib-data all 3.10.1+dfsg1-3 [2936 kB] 128s Get:44 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-brotli amd64 1.1.0-2build4 [367 kB] 128s Get:45 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-contourpy amd64 1.3.1-1build1 [218 kB] 128s Get:46 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-cycler all 0.12.1-1 [9716 B] 128s Get:47 http://ftpmaster.internal/ubuntu questing/main amd64 python3-decorator all 5.1.1-5 [10.1 kB] 128s Get:48 http://ftpmaster.internal/ubuntu questing/main amd64 python3-platformdirs all 4.3.6-1 [16.8 kB] 128s Get:49 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-fs all 2.4.16-7 [90.8 kB] 129s Get:50 http://ftpmaster.internal/ubuntu questing/main amd64 python3-lxml amd64 5.3.2-1 [1407 kB] 130s Get:51 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-lz4 amd64 4.4.0+dfsg-1build1 [27.0 kB] 130s Get:52 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-scipy amd64 1.14.1-4ubuntu2 [18.7 MB] 149s Get:53 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-mpmath all 1.3.0-1 [425 kB] 150s Get:54 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-sympy all 1.13.3-5 [4229 kB] 154s Get:55 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-ufolib2 all 0.17.0+dfsg1-1 [33.5 kB] 154s Get:56 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-unicodedata2 amd64 15.1.0+ds-1build3 [360 kB] 155s Get:57 http://ftpmaster.internal/ubuntu questing/universe amd64 unicode-data all 15.1.0-1 [8878 kB] 163s Get:58 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-fonttools amd64 4.55.3-2build1 [1536 kB] 164s Get:59 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-joblib all 1.4.2-3 [205 kB] 164s Get:60 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-kiwisolver amd64 1.4.7-3build1 [55.6 kB] 164s Get:61 http://ftpmaster.internal/ubuntu questing/main amd64 libopenjp2-7 amd64 2.5.3-2 [218 kB] 165s Get:62 http://ftpmaster.internal/ubuntu questing/main amd64 python3-pil amd64 11.1.0-5build1 [583 kB] 165s Get:63 http://ftpmaster.internal/ubuntu questing/main amd64 python3.13-tk amd64 3.13.3-1 [107 kB] 165s Get:64 http://ftpmaster.internal/ubuntu questing/main amd64 python3-tk amd64 3.13.3-1 [9856 B] 165s Get:65 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-pil.imagetk amd64 11.1.0-5build1 [9828 B] 165s Get:66 http://ftpmaster.internal/ubuntu questing-proposed/universe amd64 python3-matplotlib amd64 3.10.1+dfsg1-3 [18.1 MB] 180s Get:67 http://ftpmaster.internal/ubuntu questing/main amd64 python3-pytz all 2025.1-3 [162 kB] 180s Get:68 http://ftpmaster.internal/ubuntu questing/main amd64 python3-tz all 2025.1-3 [1866 B] 180s Get:69 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-pandas-lib amd64 2.2.3+dfsg-8build1 [5332 kB] 185s Get:70 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-pandas all 2.2.3+dfsg-8build1 [3112 kB] 188s Get:71 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-threadpoolctl all 3.1.0-1 [21.3 kB] 188s Get:72 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-sklearn-lib amd64 1.4.2+dfsg-8 [4359 kB] 191s Get:73 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-sklearn all 1.4.2+dfsg-8 [2258 kB] 193s Get:74 http://ftpmaster.internal/ubuntu questing/universe amd64 python3-xgboost amd64 2.1.4-1build1 [119 kB] 194s Fetched 94.6 MB in 1min 31s (1042 kB/s) 194s Selecting previously unselected package python3-numpy-dev:amd64. 194s (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.) 194s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.3+ds-5_amd64.deb ... 194s Unpacking python3-numpy-dev:amd64 (1:2.2.3+ds-5) ... 194s Selecting previously unselected package libblas3:amd64. 194s Preparing to unpack .../01-libblas3_3.12.1-2_amd64.deb ... 194s Unpacking libblas3:amd64 (3.12.1-2) ... 194s Selecting previously unselected package libgfortran5:amd64. 194s Preparing to unpack .../02-libgfortran5_15-20250404-0ubuntu1_amd64.deb ... 194s Unpacking libgfortran5:amd64 (15-20250404-0ubuntu1) ... 194s Selecting previously unselected package liblapack3:amd64. 194s Preparing to unpack .../03-liblapack3_3.12.1-2_amd64.deb ... 194s Unpacking liblapack3:amd64 (3.12.1-2) ... 194s Selecting previously unselected package python3-numpy. 194s Preparing to unpack .../04-python3-numpy_1%3a2.2.3+ds-5_amd64.deb ... 194s Unpacking python3-numpy (1:2.2.3+ds-5) ... 194s Selecting previously unselected package libtcl8.6:amd64. 194s Preparing to unpack .../05-libtcl8.6_8.6.16+dfsg-1_amd64.deb ... 194s Unpacking libtcl8.6:amd64 (8.6.16+dfsg-1) ... 194s Selecting previously unselected package fonts-dejavu-mono. 194s Preparing to unpack .../06-fonts-dejavu-mono_2.37-8_all.deb ... 194s Unpacking fonts-dejavu-mono (2.37-8) ... 194s Selecting previously unselected package fonts-dejavu-core. 194s Preparing to unpack .../07-fonts-dejavu-core_2.37-8_all.deb ... 194s Unpacking fonts-dejavu-core (2.37-8) ... 194s Selecting previously unselected package fontconfig-config. 194s Preparing to unpack .../08-fontconfig-config_2.15.0-2.2ubuntu1_amd64.deb ... 195s Unpacking fontconfig-config (2.15.0-2.2ubuntu1) ... 195s Selecting previously unselected package libfontconfig1:amd64. 195s Preparing to unpack .../09-libfontconfig1_2.15.0-2.2ubuntu1_amd64.deb ... 195s Unpacking libfontconfig1:amd64 (2.15.0-2.2ubuntu1) ... 195s Selecting previously unselected package libxrender1:amd64. 195s Preparing to unpack .../10-libxrender1_1%3a0.9.10-1.1build1_amd64.deb ... 195s Unpacking libxrender1:amd64 (1:0.9.10-1.1build1) ... 195s Selecting previously unselected package libxft2:amd64. 195s Preparing to unpack .../11-libxft2_2.3.6-1build1_amd64.deb ... 195s Unpacking libxft2:amd64 (2.3.6-1build1) ... 195s Selecting previously unselected package x11-common. 195s Preparing to unpack .../12-x11-common_1%3a7.7+23ubuntu4_all.deb ... 195s Unpacking x11-common (1:7.7+23ubuntu4) ... 195s Selecting previously unselected package libxss1:amd64. 195s Preparing to unpack .../13-libxss1_1%3a1.2.3-1build3_amd64.deb ... 195s Unpacking libxss1:amd64 (1:1.2.3-1build3) ... 195s Selecting previously unselected package libtk8.6:amd64. 195s Preparing to unpack .../14-libtk8.6_8.6.16-1_amd64.deb ... 195s Unpacking libtk8.6:amd64 (8.6.16-1) ... 195s Selecting previously unselected package tk8.6-blt2.5. 195s Preparing to unpack .../15-tk8.6-blt2.5_2.5.3+dfsg-8_amd64.deb ... 195s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-8) ... 195s Selecting previously unselected package blt. 195s Preparing to unpack .../16-blt_2.5.3+dfsg-8_amd64.deb ... 195s Unpacking blt (2.5.3+dfsg-8) ... 195s Selecting previously unselected package fonts-lyx. 195s Preparing to unpack .../17-fonts-lyx_2.4.3-1_all.deb ... 195s Unpacking fonts-lyx (2.4.3-1) ... 195s Selecting previously unselected package libdeflate0:amd64. 195s Preparing to unpack .../18-libdeflate0_1.23-1_amd64.deb ... 195s Unpacking libdeflate0:amd64 (1.23-1) ... 195s Selecting previously unselected package libgomp1:amd64. 195s Preparing to unpack .../19-libgomp1_15-20250404-0ubuntu1_amd64.deb ... 195s Unpacking libgomp1:amd64 (15-20250404-0ubuntu1) ... 195s Selecting previously unselected package libdmlc0t64:amd64. 195s Preparing to unpack .../20-libdmlc0t64_0.5+git20240614.1334185-1_amd64.deb ... 195s Unpacking libdmlc0t64:amd64 (0.5+git20240614.1334185-1) ... 195s Selecting previously unselected package libgraphite2-3:amd64. 195s Preparing to unpack .../21-libgraphite2-3_1.3.14-2ubuntu1_amd64.deb ... 195s Unpacking libgraphite2-3:amd64 (1.3.14-2ubuntu1) ... 195s Selecting previously unselected package libharfbuzz0b:amd64. 195s Preparing to unpack .../22-libharfbuzz0b_10.2.0-1_amd64.deb ... 195s Unpacking libharfbuzz0b:amd64 (10.2.0-1) ... 195s Selecting previously unselected package libimagequant0:amd64. 195s Preparing to unpack .../23-libimagequant0_2.18.0-1build1_amd64.deb ... 195s Unpacking libimagequant0:amd64 (2.18.0-1build1) ... 195s Selecting previously unselected package libjpeg-turbo8:amd64. 195s Preparing to unpack .../24-libjpeg-turbo8_2.1.5-3ubuntu2_amd64.deb ... 195s Unpacking libjpeg-turbo8:amd64 (2.1.5-3ubuntu2) ... 195s Selecting previously unselected package libjpeg8:amd64. 195s Preparing to unpack .../25-libjpeg8_8c-2ubuntu11_amd64.deb ... 195s Unpacking libjpeg8:amd64 (8c-2ubuntu11) ... 195s Selecting previously unselected package libjs-jquery. 195s Preparing to unpack .../26-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ... 195s Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 195s Selecting previously unselected package libjs-jquery-ui. 195s Preparing to unpack .../27-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ... 195s Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ... 195s Selecting previously unselected package liblbfgsb0:amd64. 195s Preparing to unpack .../28-liblbfgsb0_3.0+dfsg.4-1build1_amd64.deb ... 195s Unpacking liblbfgsb0:amd64 (3.0+dfsg.4-1build1) ... 195s Selecting previously unselected package liblcms2-2:amd64. 195s Preparing to unpack .../29-liblcms2-2_2.16-2_amd64.deb ... 195s Unpacking liblcms2-2:amd64 (2.16-2) ... 195s Selecting previously unselected package liblerc4:amd64. 195s Preparing to unpack .../30-liblerc4_4.0.0+ds-5ubuntu1_amd64.deb ... 195s Unpacking liblerc4:amd64 (4.0.0+ds-5ubuntu1) ... 195s Selecting previously unselected package libqhull-r8.0:amd64. 195s Preparing to unpack .../31-libqhull-r8.0_2020.2-6build1_amd64.deb ... 195s Unpacking libqhull-r8.0:amd64 (2020.2-6build1) ... 195s Selecting previously unselected package libraqm0:amd64. 195s Preparing to unpack .../32-libraqm0_0.10.2-1_amd64.deb ... 195s Unpacking libraqm0:amd64 (0.10.2-1) ... 196s Selecting previously unselected package libsharpyuv0:amd64. 196s Preparing to unpack .../33-libsharpyuv0_1.5.0-0.1_amd64.deb ... 196s Unpacking libsharpyuv0:amd64 (1.5.0-0.1) ... 196s Selecting previously unselected package libjbig0:amd64. 196s Preparing to unpack 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/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 208s Setting up libdmlc0t64:amd64 (0.5+git20240614.1334185-1) ... 208s Setting up fontconfig-config (2.15.0-2.2ubuntu1) ... 208s Setting up libwebpdemux2:amd64 (1.5.0-0.1) ... 208s Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... 208s Setting up libraqm0:amd64 (0.10.2-1) ... 208s Setting up python3-numpy (1:2.2.3+ds-5) ... 210s Setting up python3-lxml:amd64 (5.3.2-1) ... 210s Setting up libtiff6:amd64 (4.5.1+git230720-4ubuntu4) ... 210s Setting up libxgboost0 (2.1.4-1build1) ... 210s Setting up python3-contourpy (1.3.1-1build1) ... 210s Setting up libfontconfig1:amd64 (2.15.0-2.2ubuntu1) ... 210s Setting up liblbfgsb0:amd64 (3.0+dfsg.4-1build1) ... 210s Setting up libxft2:amd64 (2.3.6-1build1) ... 210s Setting up python3-scipy (1.14.1-4ubuntu2) ... 213s Setting up libtk8.6:amd64 (8.6.16-1) ... 213s Setting up python3-pandas-lib:amd64 (2.2.3+dfsg-8build1) ... 213s Setting up python3-sklearn-lib:amd64 (1.4.2+dfsg-8) ... 213s Setting up python3.13-tk (3.13.3-1) ... 213s Setting up python3-pil:amd64 (11.1.0-5build1) ... 214s Setting up python3-xgboost (2.1.4-1build1) ... 214s Setting up python3-pandas (2.2.3+dfsg-8build1) ... 218s Setting up libxgboost-dev (2.1.4-1build1) ... 218s Setting up python3-sklearn (1.4.2+dfsg-8) ... 220s Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... 220s Setting up blt (2.5.3+dfsg-8) ... 220s Setting up python3-tk:amd64 (3.13.3-1) ... 220s Setting up python3-pil.imagetk:amd64 (11.1.0-5build1) ... 220s Setting up python3-fonttools (4.55.3-2build1) ... 221s Setting up python3-ufolib2 (0.17.0+dfsg1-1) ... 221s Setting up python3-matplotlib (3.10.1+dfsg1-3) ... 223s Processing triggers for libc-bin (2.41-6ubuntu1) ... 223s Processing triggers for man-db (2.13.0-1) ... 225s autopkgtest [05:03:35]: test run-demos: [----------------------- 225s ========================================== 225s Running case basic_walkthrough.py... 226s [0] eval-logloss:0.22646 train-logloss:0.23316 226s [1] eval-logloss:0.13776 train-logloss:0.13654 226s error=0.021726 226s ========================================== 226s Running case boost_from_prediction.py... 227s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 227s warnings.warn(msg, FutureWarning) 227s start running example to start from a initial prediction 227s [0] eval-logloss:0.22646 train-logloss:0.23316 227s this is result of running from initial prediction 227s [0] eval-logloss:0.13776 train-logloss:0.13654 227s ========================================== 227s Running case callbacks.py... 229s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [05:03:39] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 229s warnings.warn(smsg, UserWarning) 229s [0] Train-error:0.03052 Train-rmse:0.35870 Valid-error:0.06993 Valid-rmse:0.37215 229s [1] Train-error:0.01174 Train-rmse:0.27804 Valid-error:0.04895 Valid-rmse:0.29761 229s [2] Train-error:0.01174 Train-rmse:0.21911 Valid-error:0.04895 Valid-rmse:0.25064 229s [3] Train-error:0.00939 Train-rmse:0.17913 Valid-error:0.02797 Valid-rmse:0.21447 229s [4] Train-error:0.00939 Train-rmse:0.14893 Valid-error:0.02797 Valid-rmse:0.19740 229s [5] Train-error:0.00939 Train-rmse:0.12816 Valid-error:0.03497 Valid-rmse:0.18098 229s [6] Train-error:0.00704 Train-rmse:0.11060 Valid-error:0.03497 Valid-rmse:0.17131 229s [7] Train-error:0.00704 Train-rmse:0.09947 Valid-error:0.03497 Valid-rmse:0.16077 229s [8] Train-error:0.00469 Train-rmse:0.08816 Valid-error:0.02797 Valid-rmse:0.14865 229s [9] Train-error:0.00469 Train-rmse:0.07863 Valid-error:0.03497 Valid-rmse:0.15073 229s [10] Train-error:0.00469 Train-rmse:0.07164 Valid-error:0.02098 Valid-rmse:0.14161 229s [11] Train-error:0.00469 Train-rmse:0.06692 Valid-error:0.01399 Valid-rmse:0.14028 229s [12] Train-error:0.00235 Train-rmse:0.06216 Valid-error:0.01399 Valid-rmse:0.13727 229s [13] Train-error:0.00235 Train-rmse:0.05811 Valid-error:0.01399 Valid-rmse:0.13495 229s [14] Train-error:0.00000 Train-rmse:0.05532 Valid-error:0.02098 Valid-rmse:0.13500 229s [15] Train-error:0.00000 Train-rmse:0.05178 Valid-error:0.02098 Valid-rmse:0.13226 229s [16] Train-error:0.00000 Train-rmse:0.04924 Valid-error:0.02098 Valid-rmse:0.13329 229s [17] Train-error:0.00000 Train-rmse:0.04656 Valid-error:0.01399 Valid-rmse:0.13183 229s [18] Train-error:0.00000 Train-rmse:0.04437 Valid-error:0.01399 Valid-rmse:0.13353 229s [19] Train-error:0.00000 Train-rmse:0.04272 Valid-error:0.02098 Valid-rmse:0.13468 229s [20] Train-error:0.00000 Train-rmse:0.04030 Valid-error:0.02098 Valid-rmse:0.13419 229s [21] Train-error:0.00000 Train-rmse:0.03869 Valid-error:0.02797 Valid-rmse:0.13543 229s [22] Train-error:0.00000 Train-rmse:0.03548 Valid-error:0.03497 Valid-rmse:0.13316 229s [23] Train-error:0.00000 Train-rmse:0.03444 Valid-error:0.03497 Valid-rmse:0.13637 229s [24] Train-error:0.00000 Train-rmse:0.03369 Valid-error:0.04196 Valid-rmse:0.13663 229s [25] Train-error:0.00000 Train-rmse:0.03213 Valid-error:0.03497 Valid-rmse:0.13386 229s [26] Train-error:0.00000 Train-rmse:0.03100 Valid-error:0.03497 Valid-rmse:0.13180 229s [27] Train-error:0.00000 Train-rmse:0.03036 Valid-error:0.03497 Valid-rmse:0.13263 229s [28] Train-error:0.00000 Train-rmse:0.02957 Valid-error:0.04196 Valid-rmse:0.13493 229s [29] Train-error:0.00000 Train-rmse:0.02866 Valid-error:0.03497 Valid-rmse:0.13487 230s [30] Train-error:0.00000 Train-rmse:0.02851 Valid-error:0.04196 Valid-rmse:0.13384 230s [31] Train-error:0.00000 Train-rmse:0.02721 Valid-error:0.02797 Valid-rmse:0.13117 230s [32] Train-error:0.00000 Train-rmse:0.02615 Valid-error:0.03497 Valid-rmse:0.13188 230s [33] Train-error:0.00000 Train-rmse:0.02559 Valid-error:0.03497 Valid-rmse:0.13096 230s [34] Train-error:0.00000 Train-rmse:0.02520 Valid-error:0.04196 Valid-rmse:0.13283 230s [35] Train-error:0.00000 Train-rmse:0.02438 Valid-error:0.03497 Valid-rmse:0.13220 230s [36] Train-error:0.00000 Train-rmse:0.02356 Valid-error:0.03497 Valid-rmse:0.13030 230s [37] Train-error:0.00000 Train-rmse:0.02348 Valid-error:0.03497 Valid-rmse:0.12942 230s [38] Train-error:0.00000 Train-rmse:0.02337 Valid-error:0.03497 Valid-rmse:0.12955 230s [39] Train-error:0.00000 Train-rmse:0.02265 Valid-error:0.02797 Valid-rmse:0.12785 230s [40] Train-error:0.00000 Train-rmse:0.02283 Valid-error:0.03497 Valid-rmse:0.12889 230s [41] Train-error:0.00000 Train-rmse:0.02255 Valid-error:0.03497 Valid-rmse:0.13066 230s [42] Train-error:0.00000 Train-rmse:0.02190 Valid-error:0.03497 Valid-rmse:0.12905 230s [43] Train-error:0.00000 Train-rmse:0.02173 Valid-error:0.03497 Valid-rmse:0.12833 230s [44] Train-error:0.00000 Train-rmse:0.02180 Valid-error:0.03497 Valid-rmse:0.12884 230s [45] Train-error:0.00000 Train-rmse:0.02153 Valid-error:0.03497 Valid-rmse:0.13050 230s [46] Train-error:0.00000 Train-rmse:0.02149 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Valid-error:0.02797 Valid-rmse:0.12797 231s [92] Train-error:0.00000 Train-rmse:0.01807 Valid-error:0.02797 Valid-rmse:0.12768 231s [93] Train-error:0.00000 Train-rmse:0.01798 Valid-error:0.02797 Valid-rmse:0.12858 231s [94] Train-error:0.00000 Train-rmse:0.01776 Valid-error:0.02797 Valid-rmse:0.12801 231s [95] Train-error:0.00000 Train-rmse:0.01786 Valid-error:0.02797 Valid-rmse:0.12804 231s [96] Train-error:0.00000 Train-rmse:0.01779 Valid-error:0.02797 Valid-rmse:0.12844 231s [97] Train-error:0.00000 Train-rmse:0.01778 Valid-error:0.02797 Valid-rmse:0.12875 231s [98] Train-error:0.00000 Train-rmse:0.01759 Valid-error:0.02797 Valid-rmse:0.12806 231s [99] Train-error:0.00000 Train-rmse:0.01771 Valid-error:0.02797 Valid-rmse:0.12865 232s ========================================== 232s Skip case cat_in_the_dat.py... 232s ========================================== 232s Running case cat_pipeline.py... 233s ========================================== 233s Running case categorical.py... 234s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [05:03:43] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 234s warnings.warn(smsg, UserWarning) 234s [0] validation_0-rmse:2.94171 234s [1] validation_0-rmse:2.40095 234s [2] validation_0-rmse:1.96121 234s [3] validation_0-rmse:1.61285 234s [4] validation_0-rmse:1.35854 234s [5] validation_0-rmse:1.12286 234s [6] validation_0-rmse:0.96789 234s [7] validation_0-rmse:0.79707 234s [8] validation_0-rmse:0.66201 234s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [05:03:44] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 234s warnings.warn(smsg, UserWarning) 234s [9] validation_0-rmse:0.55282 234s [10] validation_0-rmse:0.46038 234s [11] validation_0-rmse:0.38278 234s [12] validation_0-rmse:0.32840 234s [13] validation_0-rmse:0.27462 234s [14] validation_0-rmse:0.23398 234s [15] validation_0-rmse:0.19823 234s [16] validation_0-rmse:0.16984 234s [17] 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validation_0-logloss:0.00391 235s [159] validation_0-logloss:0.00391 235s [160] validation_0-logloss:0.00390 235s [161] validation_0-logloss:0.00389 235s [162] validation_0-logloss:0.00388 235s [163] validation_0-logloss:0.00388 235s [164] validation_0-logloss:0.00387 235s [165] validation_0-logloss:0.00386 235s [166] validation_0-logloss:0.00385 235s [167] validation_0-logloss:0.00385 235s [168] validation_0-logloss:0.00384 235s [169] validation_0-logloss:0.00383 235s [170] validation_0-logloss:0.00383 235s [171] validation_0-logloss:0.00382 235s [172] validation_0-logloss:0.00381 235s [173] validation_0-logloss:0.00381 235s [174] validation_0-logloss:0.00380 235s [175] validation_0-logloss:0.00380 235s [176] validation_0-logloss:0.00379 235s [177] validation_0-logloss:0.00379 235s [178] validation_0-logloss:0.00378 235s [179] validation_0-logloss:0.00378 235s [180] validation_0-logloss:0.00377 235s [181] validation_0-logloss:0.00377 235s [182] validation_0-logloss:0.00376 235s [183] validation_0-logloss:0.00376 235s [184] validation_0-logloss:0.00375 235s [185] validation_0-logloss:0.00375 235s [186] validation_0-logloss:0.00374 235s [187] validation_0-logloss:0.00374 235s [188] validation_0-logloss:0.00373 235s [189] validation_0-logloss:0.00373 235s [190] validation_0-logloss:0.00373 235s [191] validation_0-logloss:0.00372 235s [192] validation_0-logloss:0.00372 235s [193] validation_0-logloss:0.00372 235s [194] validation_0-logloss:0.00371 235s [195] validation_0-logloss:0.00371 235s [196] validation_0-logloss:0.00371 235s [197] validation_0-logloss:0.00371 235s [198] validation_0-logloss:0.00371 235s Total boosted rounds: 195 235s [0] validation_0-logloss:0.43281 235s [1] validation_0-logloss:0.30816 235s [2] validation_0-logloss:0.22816 235s [3] validation_0-logloss:0.17470 235s [4] validation_0-logloss:0.13438 235s [5] validation_0-logloss:0.10538 235s [6] validation_0-logloss:0.08467 235s [7] validation_0-logloss:0.06909 235s [8] 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validation_0-logloss:0.00498 235s [84] validation_0-logloss:0.00496 235s [85] validation_0-logloss:0.00493 235s [86] validation_0-logloss:0.00491 235s [87] validation_0-logloss:0.00489 235s [88] validation_0-logloss:0.00486 235s [89] validation_0-logloss:0.00484 235s [90] validation_0-logloss:0.00482 235s [91] validation_0-logloss:0.00480 235s [92] validation_0-logloss:0.00478 235s [93] validation_0-logloss:0.00476 235s [94] validation_0-logloss:0.00474 235s [95] validation_0-logloss:0.00472 235s [96] validation_0-logloss:0.00470 235s [97] validation_0-logloss:0.00468 235s [98] validation_0-logloss:0.00466 235s [99] validation_0-logloss:0.00464 235s [100] validation_0-logloss:0.00463 235s [101] validation_0-logloss:0.00461 235s [102] validation_0-logloss:0.00459 235s [103] validation_0-logloss:0.00457 235s [104] validation_0-logloss:0.00456 235s [105] validation_0-logloss:0.00454 235s [106] validation_0-logloss:0.00452 235s [107] validation_0-logloss:0.00451 235s [108] validation_0-logloss:0.00449 235s [109] validation_0-logloss:0.00448 235s [110] validation_0-logloss:0.00446 235s [111] validation_0-logloss:0.00444 235s [112] validation_0-logloss:0.00443 235s [113] validation_0-logloss:0.00441 235s [114] validation_0-logloss:0.00440 235s [115] validation_0-logloss:0.00438 235s [116] validation_0-logloss:0.00437 235s [117] validation_0-logloss:0.00435 235s [118] validation_0-logloss:0.00434 235s [119] validation_0-logloss:0.00433 235s [120] validation_0-logloss:0.00431 235s [121] validation_0-logloss:0.00430 235s [122] validation_0-logloss:0.00429 235s [123] validation_0-logloss:0.00427 235s [124] validation_0-logloss:0.00426 235s [125] validation_0-logloss:0.00425 235s [126] validation_0-logloss:0.00423 235s [127] validation_0-logloss:0.00422 235s [0] validation_0-logloss:0.00421 235s [1] validation_0-logloss:0.00420 235s [2] validation_0-logloss:0.00419 235s [3] validation_0-logloss:0.00417 235s [4] validation_0-logloss:0.00416 235s [5] 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235s [31] validation_0-logloss:0.00391 235s [32] validation_0-logloss:0.00390 235s [33] validation_0-logloss:0.00389 235s [34] validation_0-logloss:0.00388 235s [35] validation_0-logloss:0.00388 235s [36] validation_0-logloss:0.00387 235s [37] validation_0-logloss:0.00386 235s [38] validation_0-logloss:0.00385 235s [39] validation_0-logloss:0.00385 235s [40] validation_0-logloss:0.00384 235s [41] validation_0-logloss:0.00383 235s [42] validation_0-logloss:0.00383 235s [43] validation_0-logloss:0.00382 235s [44] validation_0-logloss:0.00381 235s [45] validation_0-logloss:0.00381 235s [46] validation_0-logloss:0.00380 235s [47] validation_0-logloss:0.00380 235s [48] validation_0-logloss:0.00379 235s [49] validation_0-logloss:0.00379 235s [50] validation_0-logloss:0.00378 235s [51] validation_0-logloss:0.00378 235s [52] validation_0-logloss:0.00377 235s [53] validation_0-logloss:0.00377 235s [54] validation_0-logloss:0.00376 235s [55] validation_0-logloss:0.00376 235s [56] validation_0-logloss:0.00375 235s [57] validation_0-logloss:0.00375 235s [58] validation_0-logloss:0.00374 235s [59] validation_0-logloss:0.00374 235s [60] validation_0-logloss:0.00373 235s [61] validation_0-logloss:0.00373 235s [62] validation_0-logloss:0.00373 235s [63] validation_0-logloss:0.00372 235s [64] validation_0-logloss:0.00372 235s [65] validation_0-logloss:0.00372 235s [66] validation_0-logloss:0.00371 235s [67] validation_0-logloss:0.00371 235s [68] validation_0-logloss:0.00371 235s [69] validation_0-logloss:0.00371 235s [70] validation_0-logloss:0.00371 235s Total boosted rounds: 195 235s [0] validation_0-logloss:0.43281 235s [1] validation_0-logloss:0.30816 235s [2] validation_0-logloss:0.22816 235s [3] validation_0-logloss:0.17470 235s [4] validation_0-logloss:0.13438 235s [5] validation_0-logloss:0.10538 235s [6] validation_0-logloss:0.08467 235s [7] validation_0-logloss:0.06909 235s [8] validation_0-logloss:0.05766 235s [9] validation_0-logloss:0.04842 235s [10] 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validation_0-logloss:0.00390 235s [161] validation_0-logloss:0.00389 235s [162] validation_0-logloss:0.00388 235s [163] validation_0-logloss:0.00388 235s [164] validation_0-logloss:0.00387 235s [165] validation_0-logloss:0.00386 235s [166] validation_0-logloss:0.00385 235s [167] validation_0-logloss:0.00385 235s [168] validation_0-logloss:0.00384 235s [169] validation_0-logloss:0.00383 235s [170] validation_0-logloss:0.00383 235s [171] validation_0-logloss:0.00382 235s [172] validation_0-logloss:0.00381 235s [173] validation_0-logloss:0.00381 235s [174] validation_0-logloss:0.00380 235s [175] validation_0-logloss:0.00380 235s [176] validation_0-logloss:0.00379 235s [177] validation_0-logloss:0.00379 235s [178] validation_0-logloss:0.00378 235s [179] validation_0-logloss:0.00378 235s [180] validation_0-logloss:0.00377 235s [181] validation_0-logloss:0.00377 235s [182] validation_0-logloss:0.00376 235s [183] validation_0-logloss:0.00376 235s [184] validation_0-logloss:0.00375 235s [185] validation_0-logloss:0.00375 235s [186] validation_0-logloss:0.00374 235s [187] validation_0-logloss:0.00374 235s [188] validation_0-logloss:0.00373 235s [189] validation_0-logloss:0.00373 235s [190] validation_0-logloss:0.00373 235s [191] validation_0-logloss:0.00372 235s [192] validation_0-logloss:0.00372 235s [193] validation_0-logloss:0.00372 235s [194] validation_0-logloss:0.00371 235s [195] validation_0-logloss:0.00371 235s [196] validation_0-logloss:0.00371 235s [197] validation_0-logloss:0.00371 235s [198] validation_0-logloss:0.00371 235s [199] validation_0-logloss:0.00371 235s Total boosted rounds: 195 235s [0] validation_0-logloss:0.43281 235s [1] validation_0-logloss:0.30816 235s [2] validation_0-logloss:0.22816 235s [3] validation_0-logloss:0.17470 235s [4] validation_0-logloss:0.13438 235s [5] validation_0-logloss:0.10538 235s [6] validation_0-logloss:0.08467 235s [7] validation_0-logloss:0.06909 235s [8] validation_0-logloss:0.05766 235s [9] validation_0-logloss:0.04842 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validation_0-logloss:0.00493 235s [86] validation_0-logloss:0.00491 235s [87] validation_0-logloss:0.00489 235s [88] validation_0-logloss:0.00486 235s [89] validation_0-logloss:0.00484 235s [90] validation_0-logloss:0.00482 235s [91] validation_0-logloss:0.00480 235s [92] validation_0-logloss:0.00478 235s [93] validation_0-logloss:0.00476 235s [94] validation_0-logloss:0.00474 235s [95] validation_0-logloss:0.00472 235s [96] validation_0-logloss:0.00470 235s [97] validation_0-logloss:0.00468 235s [98] validation_0-logloss:0.00466 235s [99] validation_0-logloss:0.00464 235s [100] validation_0-logloss:0.00463 235s [101] validation_0-logloss:0.00461 235s [102] validation_0-logloss:0.00459 235s [103] validation_0-logloss:0.00457 235s [104] validation_0-logloss:0.00456 235s [105] validation_0-logloss:0.00454 235s [106] validation_0-logloss:0.00452 235s [107] validation_0-logloss:0.00451 235s [108] validation_0-logloss:0.00449 235s [109] validation_0-logloss:0.00448 235s [110] validation_0-logloss:0.00446 235s [111] validation_0-logloss:0.00444 235s [112] validation_0-logloss:0.00443 235s [113] validation_0-logloss:0.00441 235s [114] validation_0-logloss:0.00440 235s [115] validation_0-logloss:0.00438 235s [116] validation_0-logloss:0.00437 235s [117] validation_0-logloss:0.00435 235s [118] validation_0-logloss:0.00434 235s [119] validation_0-logloss:0.00433 235s [120] validation_0-logloss:0.00431 235s [121] validation_0-logloss:0.00430 235s [122] validation_0-logloss:0.00429 235s [123] validation_0-logloss:0.00427 235s [124] validation_0-logloss:0.00426 235s [125] validation_0-logloss:0.00425 235s [126] validation_0-logloss:0.00423 235s [127] validation_0-logloss:0.00422 235s [0] validation_0-logloss:0.00421 235s [1] validation_0-logloss:0.00420 235s [2] validation_0-logloss:0.00419 235s [3] validation_0-logloss:0.00417 235s [4] validation_0-logloss:0.00416 235s [5] validation_0-logloss:0.00415 235s [6] validation_0-logloss:0.00414 235s [7] validation_0-logloss:0.00413 235s [8] validation_0-logloss:0.00412 235s [9] validation_0-logloss:0.00411 235s [10] validation_0-logloss:0.00410 235s [11] validation_0-logloss:0.00409 235s [12] validation_0-logloss:0.00408 235s [13] validation_0-logloss:0.00407 235s [14] validation_0-logloss:0.00406 235s [15] validation_0-logloss:0.00405 235s [16] validation_0-logloss:0.00404 235s [17] validation_0-logloss:0.00403 235s [18] validation_0-logloss:0.00402 235s [19] validation_0-logloss:0.00401 235s [20] validation_0-logloss:0.00400 235s [21] validation_0-logloss:0.00399 235s [22] validation_0-logloss:0.00398 235s [23] validation_0-logloss:0.00397 235s [24] validation_0-logloss:0.00396 235s [25] validation_0-logloss:0.00396 235s [26] validation_0-logloss:0.00395 235s [27] validation_0-logloss:0.00394 235s [28] validation_0-logloss:0.00393 235s [29] validation_0-logloss:0.00392 235s [30] validation_0-logloss:0.00391 235s [31] validation_0-logloss:0.00391 235s [32] validation_0-logloss:0.00390 235s [33] validation_0-logloss:0.00389 235s [34] validation_0-logloss:0.00388 235s [35] validation_0-logloss:0.00388 235s [36] validation_0-logloss:0.00387 235s [37] validation_0-logloss:0.00386 235s [38] validation_0-logloss:0.00385 235s [39] validation_0-logloss:0.00385 235s [40] validation_0-logloss:0.00384 235s [41] validation_0-logloss:0.00383 235s [42] validation_0-logloss:0.00383 235s [43] validation_0-logloss:0.00382 235s [44] validation_0-logloss:0.00381 235s [45] validation_0-logloss:0.00381 235s [46] validation_0-logloss:0.00380 235s [47] validation_0-logloss:0.00380 235s [48] validation_0-logloss:0.00379 235s [49] validation_0-logloss:0.00379 235s [50] validation_0-logloss:0.00378 235s [51] validation_0-logloss:0.00378 235s [52] validation_0-logloss:0.00377 235s [53] validation_0-logloss:0.00377 235s [54] validation_0-logloss:0.00376 235s [55] validation_0-logloss:0.00376 235s [56] validation_0-logloss:0.00375 235s [57] validation_0-logloss:0.00375 235s [58] validation_0-logloss:0.00374 235s [59] validation_0-logloss:0.00374 235s [60] validation_0-logloss:0.00373 235s [61] validation_0-logloss:0.00373 235s [62] validation_0-logloss:0.00373 235s [63] validation_0-logloss:0.00372 235s [64] validation_0-logloss:0.00372 235s [65] validation_0-logloss:0.00372 235s [66] validation_0-logloss:0.00371 235s [67] validation_0-logloss:0.00371 235s [68] validation_0-logloss:0.00371 235s [69] validation_0-logloss:0.00371 235s [70] validation_0-logloss:0.00371 235s [71] validation_0-logloss:0.00371 235s Total boosted rounds: 195 235s [0] validation_0-logloss:0.43281 235s [1] validation_0-logloss:0.30816 235s [2] validation_0-logloss:0.22816 235s [3] validation_0-logloss:0.17470 235s [4] validation_0-logloss:0.13438 235s [5] validation_0-logloss:0.10538 235s [6] validation_0-logloss:0.08467 235s [7] validation_0-logloss:0.06909 235s [8] validation_0-logloss:0.05766 235s [9] validation_0-logloss:0.04842 235s [10] validation_0-logloss:0.04121 235s [11] validation_0-logloss:0.03545 235s [12] validation_0-logloss:0.03077 235s [13] validation_0-logloss:0.02742 235s [14] validation_0-logloss:0.02444 235s [15] validation_0-logloss:0.02208 235s [16] validation_0-logloss:0.01993 235s [17] validation_0-logloss:0.01819 235s [18] validation_0-logloss:0.01676 235s [19] validation_0-logloss:0.01575 235s [20] validation_0-logloss:0.01461 235s [21] validation_0-logloss:0.01383 235s [22] validation_0-logloss:0.01304 235s [23] validation_0-logloss:0.01243 235s [24] validation_0-logloss:0.01179 235s [25] validation_0-logloss:0.01142 235s [26] validation_0-logloss:0.01103 235s [27] validation_0-logloss:0.01066 235s [28] validation_0-logloss:0.01037 235s [29] validation_0-logloss:0.00993 235s [30] validation_0-logloss:0.00966 235s [31] validation_0-logloss:0.00920 235s [32] validation_0-logloss:0.00900 235s [33] validation_0-logloss:0.00876 235s [34] validation_0-logloss:0.00852 235s [35] 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validation_0-logloss:0.00563 235s [61] validation_0-logloss:0.00559 235s [62] validation_0-logloss:0.00556 235s [63] validation_0-logloss:0.00553 235s [64] validation_0-logloss:0.00549 235s [65] validation_0-logloss:0.00546 235s [66] validation_0-logloss:0.00543 235s [67] validation_0-logloss:0.00540 235s [68] validation_0-logloss:0.00537 235s [69] validation_0-logloss:0.00534 235s [70] validation_0-logloss:0.00531 235s [71] validation_0-logloss:0.00528 235s [72] validation_0-logloss:0.00525 235s [73] validation_0-logloss:0.00523 235s [74] validation_0-logloss:0.00520 235s [75] validation_0-logloss:0.00517 235s [76] validation_0-logloss:0.00515 235s [77] validation_0-logloss:0.00512 235s [78] validation_0-logloss:0.00510 235s [79] validation_0-logloss:0.00507 235s [80] validation_0-logloss:0.00505 235s [81] validation_0-logloss:0.00502 235s [82] validation_0-logloss:0.00500 235s [83] validation_0-logloss:0.00498 235s [84] validation_0-logloss:0.00496 235s [85] validation_0-logloss:0.00493 235s [86] validation_0-logloss:0.00491 235s [87] validation_0-logloss:0.00489 235s [88] validation_0-logloss:0.00486 235s [89] validation_0-logloss:0.00484 235s [90] validation_0-logloss:0.00482 235s [91] validation_0-logloss:0.00480 235s [92] validation_0-logloss:0.00478 235s [93] validation_0-logloss:0.00476 235s [94] validation_0-logloss:0.00474 235s [95] validation_0-logloss:0.00472 235s [96] validation_0-logloss:0.00470 235s [97] validation_0-logloss:0.00468 235s [98] validation_0-logloss:0.00466 235s [99] validation_0-logloss:0.00464 235s [100] validation_0-logloss:0.00463 235s [101] validation_0-logloss:0.00461 235s [102] validation_0-logloss:0.00459 235s [103] validation_0-logloss:0.00457 235s [104] validation_0-logloss:0.00456 235s [105] validation_0-logloss:0.00454 235s [106] validation_0-logloss:0.00452 235s [107] validation_0-logloss:0.00451 235s [108] validation_0-logloss:0.00449 235s [109] validation_0-logloss:0.00448 235s [110] validation_0-logloss:0.00446 235s [111] validation_0-logloss:0.00444 235s [112] validation_0-logloss:0.00443 235s [113] validation_0-logloss:0.00441 235s [114] validation_0-logloss:0.00440 235s [115] validation_0-logloss:0.00438 235s [116] validation_0-logloss:0.00437 235s [117] validation_0-logloss:0.00435 235s [118] validation_0-logloss:0.00434 235s [119] validation_0-logloss:0.00433 235s [120] validation_0-logloss:0.00431 235s [121] validation_0-logloss:0.00430 235s [122] validation_0-logloss:0.00429 235s [123] validation_0-logloss:0.00427 235s [124] validation_0-logloss:0.00426 235s [125] validation_0-logloss:0.00425 235s [126] validation_0-logloss:0.00423 235s [127] validation_0-logloss:0.00422 235s Total boosted rounds: 128 235s [0] validation_0-logloss:0.43281 235s [1] validation_0-logloss:0.30816 235s [2] validation_0-logloss:0.22816 235s [3] validation_0-logloss:0.17470 235s [4] validation_0-logloss:0.13438 235s [5] validation_0-logloss:0.10538 235s [6] 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235s [0] validation_0-logloss:0.00900 235s [1] validation_0-logloss:0.00876 235s [2] validation_0-logloss:0.00852 235s [3] validation_0-logloss:0.00835 235s [4] validation_0-logloss:0.00810 235s [5] validation_0-logloss:0.00791 235s [6] validation_0-logloss:0.00764 235s [7] validation_0-logloss:0.00753 235s [8] validation_0-logloss:0.00739 235s [9] validation_0-logloss:0.00723 235s [10] validation_0-logloss:0.00706 235s [11] validation_0-logloss:0.00695 235s [12] validation_0-logloss:0.00688 235s [13] validation_0-logloss:0.00671 235s [14] validation_0-logloss:0.00662 235s [15] validation_0-logloss:0.00650 235s [16] validation_0-logloss:0.00637 235s [17] validation_0-logloss:0.00628 235s [18] validation_0-logloss:0.00623 235s [19] validation_0-logloss:0.00618 235s [20] validation_0-logloss:0.00614 235s [21] validation_0-logloss:0.00609 235s [22] validation_0-logloss:0.00600 235s [23] validation_0-logloss:0.00590 235s [24] validation_0-logloss:0.00582 235s [25] validation_0-logloss:0.00578 235s [26] validation_0-logloss:0.00570 235s [27] validation_0-logloss:0.00566 235s [28] validation_0-logloss:0.00563 235s [29] validation_0-logloss:0.00559 235s [30] validation_0-logloss:0.00556 235s [31] validation_0-logloss:0.00553 235s [32] validation_0-logloss:0.00549 235s [33] validation_0-logloss:0.00546 235s [34] validation_0-logloss:0.00543 235s [35] validation_0-logloss:0.00540 235s [36] validation_0-logloss:0.00537 235s [37] validation_0-logloss:0.00534 235s [38] validation_0-logloss:0.00531 235s [39] validation_0-logloss:0.00528 235s [40] validation_0-logloss:0.00525 235s [41] validation_0-logloss:0.00523 235s [42] validation_0-logloss:0.00520 235s [43] validation_0-logloss:0.00517 235s [44] validation_0-logloss:0.00515 235s [45] validation_0-logloss:0.00512 235s [46] validation_0-logloss:0.00510 235s [47] validation_0-logloss:0.00507 235s [48] validation_0-logloss:0.00505 235s [49] validation_0-logloss:0.00502 235s [50] validation_0-logloss:0.00500 235s [51] validation_0-logloss:0.00498 235s [52] validation_0-logloss:0.00496 235s [53] validation_0-logloss:0.00493 235s [54] validation_0-logloss:0.00491 235s [55] validation_0-logloss:0.00489 235s [56] validation_0-logloss:0.00486 235s [57] validation_0-logloss:0.00484 235s [58] validation_0-logloss:0.00482 235s [59] validation_0-logloss:0.00480 235s [60] validation_0-logloss:0.00478 235s [61] validation_0-logloss:0.00476 235s [62] validation_0-logloss:0.00474 235s [63] validation_0-logloss:0.00472 235s [64] validation_0-logloss:0.00470 235s [65] validation_0-logloss:0.00468 235s [66] validation_0-logloss:0.00466 235s [67] validation_0-logloss:0.00464 235s [68] validation_0-logloss:0.00463 235s [69] validation_0-logloss:0.00461 235s [70] validation_0-logloss:0.00459 235s [71] validation_0-logloss:0.00457 235s [72] validation_0-logloss:0.00456 235s [73] validation_0-logloss:0.00454 235s [74] validation_0-logloss:0.00452 235s [75] validation_0-logloss:0.00451 235s [76] validation_0-logloss:0.00449 235s [77] validation_0-logloss:0.00448 235s [78] validation_0-logloss:0.00446 235s [79] validation_0-logloss:0.00444 235s [80] validation_0-logloss:0.00443 235s [81] validation_0-logloss:0.00441 235s [82] validation_0-logloss:0.00440 235s [83] validation_0-logloss:0.00438 235s [84] validation_0-logloss:0.00437 235s [85] validation_0-logloss:0.00435 235s [86] validation_0-logloss:0.00434 235s [87] validation_0-logloss:0.00433 235s [88] validation_0-logloss:0.00431 235s [89] validation_0-logloss:0.00430 235s [90] validation_0-logloss:0.00429 235s [91] validation_0-logloss:0.00427 235s [92] validation_0-logloss:0.00426 235s [93] validation_0-logloss:0.00425 235s [94] validation_0-logloss:0.00423 235s [95] validation_0-logloss:0.00422 235s Total boosted rounds: 128 235s [0] validation_0-logloss:0.43281 235s [1] validation_0-logloss:0.30816 235s [2] validation_0-logloss:0.22816 235s [3] validation_0-logloss:0.17470 235s [4] validation_0-logloss:0.13438 235s [5] validation_0-logloss:0.10538 235s [6] validation_0-logloss:0.08467 235s [7] validation_0-logloss:0.06909 235s [8] validation_0-logloss:0.05766 235s [9] validation_0-logloss:0.04842 235s [10] validation_0-logloss:0.04121 235s [11] validation_0-logloss:0.03545 235s [12] validation_0-logloss:0.03077 235s [13] validation_0-logloss:0.02742 235s [14] validation_0-logloss:0.02444 235s [15] validation_0-logloss:0.02208 235s [16] validation_0-logloss:0.01993 235s [17] validation_0-logloss:0.01819 235s [18] validation_0-logloss:0.01676 235s [19] validation_0-logloss:0.01575 235s [20] validation_0-logloss:0.01461 235s [21] validation_0-logloss:0.01383 235s [22] validation_0-logloss:0.01304 235s [23] validation_0-logloss:0.01243 235s [24] validation_0-logloss:0.01179 235s [25] validation_0-logloss:0.01142 235s [26] validation_0-logloss:0.01103 235s [27] validation_0-logloss:0.01066 235s [28] validation_0-logloss:0.01037 235s [29] validation_0-logloss:0.00993 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validation_0-logloss:0.00590 235s [56] validation_0-logloss:0.00582 235s [57] validation_0-logloss:0.00578 235s [58] validation_0-logloss:0.00570 235s [59] validation_0-logloss:0.00566 235s [60] validation_0-logloss:0.00563 235s [61] validation_0-logloss:0.00559 235s [62] validation_0-logloss:0.00556 235s [63] validation_0-logloss:0.00553 235s [64] validation_0-logloss:0.00549 235s [65] validation_0-logloss:0.00546 235s [66] validation_0-logloss:0.00543 235s [67] validation_0-logloss:0.00540 235s [68] validation_0-logloss:0.00537 235s [69] validation_0-logloss:0.00534 235s [70] validation_0-logloss:0.00531 235s [71] validation_0-logloss:0.00528 235s [72] validation_0-logloss:0.00525 235s [73] validation_0-logloss:0.00523 235s [74] validation_0-logloss:0.00520 235s [75] validation_0-logloss:0.00517 235s [76] validation_0-logloss:0.00515 235s [77] validation_0-logloss:0.00512 235s [78] validation_0-logloss:0.00510 235s [79] validation_0-logloss:0.00507 235s [80] validation_0-logloss:0.00505 235s [81] validation_0-logloss:0.00502 235s [82] validation_0-logloss:0.00500 235s [83] validation_0-logloss:0.00498 235s [84] validation_0-logloss:0.00496 235s [85] validation_0-logloss:0.00493 235s [86] validation_0-logloss:0.00491 235s [87] validation_0-logloss:0.00489 235s [88] validation_0-logloss:0.00486 235s [89] validation_0-logloss:0.00484 235s [90] validation_0-logloss:0.00482 235s [91] validation_0-logloss:0.00480 235s [92] validation_0-logloss:0.00478 235s [93] validation_0-logloss:0.00476 235s [94] validation_0-logloss:0.00474 235s [95] validation_0-logloss:0.00472 235s [96] validation_0-logloss:0.00470 235s [97] validation_0-logloss:0.00468 235s [98] validation_0-logloss:0.00466 235s [99] validation_0-logloss:0.00464 235s [100] validation_0-logloss:0.00463 235s [101] validation_0-logloss:0.00461 235s [102] validation_0-logloss:0.00459 235s [103] validation_0-logloss:0.00457 235s [104] validation_0-logloss:0.00456 235s [105] validation_0-logloss:0.00454 235s [106] validation_0-logloss:0.00452 235s [107] validation_0-logloss:0.00451 235s [108] validation_0-logloss:0.00449 235s [109] validation_0-logloss:0.00448 235s [110] validation_0-logloss:0.00446 235s [111] validation_0-logloss:0.00444 235s [112] validation_0-logloss:0.00443 235s [113] validation_0-logloss:0.00441 235s [114] validation_0-logloss:0.00440 235s [115] validation_0-logloss:0.00438 235s [116] validation_0-logloss:0.00437 235s [117] validation_0-logloss:0.00435 235s [118] validation_0-logloss:0.00434 235s [119] validation_0-logloss:0.00433 235s [120] validation_0-logloss:0.00431 235s [121] validation_0-logloss:0.00430 235s [122] validation_0-logloss:0.00429 235s [123] validation_0-logloss:0.00427 235s [124] validation_0-logloss:0.00426 235s [125] validation_0-logloss:0.00425 235s [126] validation_0-logloss:0.00423 235s [127] validation_0-logloss:0.00422 235s Total boosted rounds: 128 235s [0] validation_0-logloss:0.43281 235s [1] validation_0-logloss:0.30816 235s [2] validation_0-logloss:0.22816 235s [3] validation_0-logloss:0.17470 235s [4] validation_0-logloss:0.13438 235s [5] validation_0-logloss:0.10538 235s [6] validation_0-logloss:0.08467 235s [7] validation_0-logloss:0.06909 235s [8] validation_0-logloss:0.05766 235s [9] validation_0-logloss:0.04842 235s [10] validation_0-logloss:0.04121 235s [11] validation_0-logloss:0.03545 235s [12] validation_0-logloss:0.03077 235s [13] validation_0-logloss:0.02742 235s [14] validation_0-logloss:0.02444 235s [15] validation_0-logloss:0.02208 235s [16] validation_0-logloss:0.01993 235s [17] validation_0-logloss:0.01819 235s [18] validation_0-logloss:0.01676 235s [19] validation_0-logloss:0.01575 235s [20] validation_0-logloss:0.01461 235s [21] validation_0-logloss:0.01383 235s [22] validation_0-logloss:0.01304 235s [23] validation_0-logloss:0.01243 235s [24] validation_0-logloss:0.01179 235s [25] validation_0-logloss:0.01142 235s [26] validation_0-logloss:0.01103 235s [27] validation_0-logloss:0.01066 235s [28] validation_0-logloss:0.01037 235s [29] validation_0-logloss:0.00993 235s [30] validation_0-logloss:0.00966 235s [31] validation_0-logloss:0.00920 235s [0] validation_0-logloss:0.00900 235s [1] validation_0-logloss:0.00876 235s [2] validation_0-logloss:0.00852 235s [3] validation_0-logloss:0.00835 235s [4] validation_0-logloss:0.00810 235s [5] validation_0-logloss:0.00791 235s [6] validation_0-logloss:0.00764 235s [7] validation_0-logloss:0.00753 235s [8] validation_0-logloss:0.00739 235s [9] validation_0-logloss:0.00723 235s [10] validation_0-logloss:0.00706 235s [11] validation_0-logloss:0.00695 235s [12] validation_0-logloss:0.00688 235s [13] validation_0-logloss:0.00671 235s [14] validation_0-logloss:0.00662 235s [15] validation_0-logloss:0.00650 235s [16] validation_0-logloss:0.00637 235s [17] validation_0-logloss:0.00628 235s [18] validation_0-logloss:0.00623 235s [19] validation_0-logloss:0.00618 235s [20] validation_0-logloss:0.00614 235s [21] validation_0-logloss:0.00609 235s [22] validation_0-logloss:0.00600 235s [23] validation_0-logloss:0.00590 235s [24] validation_0-logloss:0.00582 235s [25] validation_0-logloss:0.00578 235s [26] validation_0-logloss:0.00570 235s [27] validation_0-logloss:0.00566 235s [28] validation_0-logloss:0.00563 235s [29] validation_0-logloss:0.00559 235s [30] validation_0-logloss:0.00556 235s [31] validation_0-logloss:0.00553 235s [32] validation_0-logloss:0.00549 235s [33] validation_0-logloss:0.00546 235s [34] validation_0-logloss:0.00543 235s [35] validation_0-logloss:0.00540 235s [36] validation_0-logloss:0.00537 235s [37] validation_0-logloss:0.00534 235s [38] validation_0-logloss:0.00531 235s [39] validation_0-logloss:0.00528 235s [40] validation_0-logloss:0.00525 235s [41] validation_0-logloss:0.00523 235s [42] validation_0-logloss:0.00520 235s [43] validation_0-logloss:0.00517 235s [44] validation_0-logloss:0.00515 235s [45] validation_0-logloss:0.00512 235s [46] validation_0-logloss:0.00510 235s [47] validation_0-logloss:0.00507 235s [48] validation_0-logloss:0.00505 235s [49] validation_0-logloss:0.00502 235s [50] validation_0-logloss:0.00500 235s [51] validation_0-logloss:0.00498 235s [52] validation_0-logloss:0.00496 235s [53] validation_0-logloss:0.00493 235s [54] validation_0-logloss:0.00491 235s [55] validation_0-logloss:0.00489 235s [56] validation_0-logloss:0.00486 235s [57] validation_0-logloss:0.00484 235s [58] validation_0-logloss:0.00482 235s [59] validation_0-logloss:0.00480 235s [60] validation_0-logloss:0.00478 235s [61] validation_0-logloss:0.00476 235s [62] validation_0-logloss:0.00474 235s [63] validation_0-logloss:0.00472 235s [64] validation_0-logloss:0.00470 235s [65] validation_0-logloss:0.00468 235s [66] validation_0-logloss:0.00466 235s [67] validation_0-logloss:0.00464 235s [68] validation_0-logloss:0.00463 235s [69] validation_0-logloss:0.00461 235s [70] validation_0-logloss:0.00459 235s [71] validation_0-logloss:0.00457 235s [72] validation_0-logloss:0.00456 235s [73] validation_0-logloss:0.00454 235s [74] validation_0-logloss:0.00452 235s [75] validation_0-logloss:0.00451 235s [76] validation_0-logloss:0.00449 235s [77] validation_0-logloss:0.00448 235s [78] validation_0-logloss:0.00446 235s [79] validation_0-logloss:0.00444 235s [80] validation_0-logloss:0.00443 235s [81] validation_0-logloss:0.00441 235s [82] validation_0-logloss:0.00440 235s [83] validation_0-logloss:0.00438 235s [84] validation_0-logloss:0.00437 235s [85] validation_0-logloss:0.00435 235s [86] validation_0-logloss:0.00434 235s [87] validation_0-logloss:0.00433 235s [88] validation_0-logloss:0.00431 235s [89] validation_0-logloss:0.00430 235s [90] validation_0-logloss:0.00429 235s [91] validation_0-logloss:0.00427 235s [92] validation_0-logloss:0.00426 235s [93] validation_0-logloss:0.00425 235s [94] validation_0-logloss:0.00423 235s [95] validation_0-logloss:0.00422 235s Total boosted rounds: 128 236s ========================================== 236s Running case cross_validation.py... 236s running cross validation 236s [0] train-error:0.05067+0.00920 test-error:0.05573+0.01589 236s [1] train-error:0.02130+0.00206 test-error:0.02119+0.00365 236s running cross validation, disable standard deviation display 236s [0] train-error:0.05067 test-error:0.05573 236s [1] train-error:0.02130 test-error:0.02119 236s [2] train-error:0.00994 test-error:0.00998 236s [3] train-error:0.01413 test-error:0.01443 236s [4] train-error:0.00599 test-error:0.00630 236s [5] train-error:0.00203 test-error:0.00169 236s [6] train-error:0.00123 test-error:0.00123 236s [7] train-error:0.00123 test-error:0.00123 236s [8] train-error:0.00092 test-error:0.00123 236s [9] train-error:0.00061 test-error:0.00123 237s /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`. 237s warnings.warn( 237s train-error-mean train-error-std test-error-mean test-error-std 237s 0 0.050668 0.009201 0.055732 0.015889 237s 1 0.021303 0.002055 0.021188 0.003653 237s 2 0.009942 0.006076 0.009979 0.004828 237s 3 0.014126 0.001706 0.014433 0.003517 237s 4 0.005988 0.001878 0.006295 0.003123 237s 5 0.002034 0.001469 0.001689 0.000574 237s 6 0.001228 0.000260 0.001228 0.001041 237s running cross validation, with preprocessing function 237s running cross validation, with customized loss function 237s ========================================== 237s Running case custom_rmsle.py... 237s /tmp/autopkgtest.hYCad9/build.k5a/src/demo/guide-python/custom_rmsle.py:139: SyntaxWarning: invalid escape sequence '\s' 237s :math:`\sqrt{\frac{1}{N}[log(pred + 1) - log(label + 1)]^2}` 238s Squared Error 238s [0] dtrain-rmse:682.95908 dtest-rmse:745.95555 238s [1] dtrain-rmse:627.66199 dtest-rmse:751.49583 238s [2] dtrain-rmse:596.74396 dtest-rmse:766.33054 238s [3] dtrain-rmse:555.92371 dtest-rmse:776.92703 238s [4] dtrain-rmse:519.58613 dtest-rmse:789.74145 238s [5] dtrain-rmse:501.26007 dtest-rmse:805.22881 238s [6] dtrain-rmse:453.81757 dtest-rmse:810.70817 238s [7] dtrain-rmse:423.51474 dtest-rmse:822.61798 238s [8] dtrain-rmse:383.34479 dtest-rmse:826.43243 238s [9] dtrain-rmse:371.08179 dtest-rmse:827.23674 238s [10] dtrain-rmse:353.11776 dtest-rmse:828.84174 238s [11] dtrain-rmse:316.42149 dtest-rmse:832.98904 238s [12] dtrain-rmse:300.24359 dtest-rmse:834.90637 238s [13] dtrain-rmse:285.81935 dtest-rmse:836.55001 238s [14] dtrain-rmse:278.47432 dtest-rmse:838.29965 238s [15] dtrain-rmse:266.08310 dtest-rmse:840.16158 238s [16] dtrain-rmse:261.48875 dtest-rmse:841.45332 238s [17] dtrain-rmse:253.15765 dtest-rmse:841.96773 238s [18] dtrain-rmse:246.41335 dtest-rmse:842.26433 238s [19] dtrain-rmse:242.90377 dtest-rmse:843.24280 238s Finished Squared Error in: 0.04360532760620117 238s 238s Squared Log Error 238s [0] dtrain-rmsle:1.31939 dtest-rmsle:1.26056 238s [1] dtrain-rmsle:1.22093 dtest-rmsle:1.16061 238s [2] dtrain-rmsle:1.13670 dtest-rmsle:1.07549 238s [3] dtrain-rmsle:1.06691 dtest-rmsle:1.00568 238s [4] dtrain-rmsle:1.01079 dtest-rmsle:0.95190 238s [5] dtrain-rmsle:0.96709 dtest-rmsle:0.91206 238s [6] dtrain-rmsle:0.93453 dtest-rmsle:0.88458 238s [7] dtrain-rmsle:0.90925 dtest-rmsle:0.86580 238s [8] dtrain-rmsle:0.89139 dtest-rmsle:0.85326 238s [9] dtrain-rmsle:0.87620 dtest-rmsle:0.84621 238s [10] dtrain-rmsle:0.86538 dtest-rmsle:0.84136 238s [11] dtrain-rmsle:0.85715 dtest-rmsle:0.83849 238s [12] dtrain-rmsle:0.84866 dtest-rmsle:0.83767 238s [13] dtrain-rmsle:0.84230 dtest-rmsle:0.83693 238s [14] dtrain-rmsle:0.83639 dtest-rmsle:0.83785 238s [15] dtrain-rmsle:0.83076 dtest-rmsle:0.83853 238s [16] dtrain-rmsle:0.82671 dtest-rmsle:0.83887 238s [17] dtrain-rmsle:0.82297 dtest-rmsle:0.83883 238s [18] dtrain-rmsle:0.81919 dtest-rmsle:0.83945 238s [19] dtrain-rmsle:0.81638 dtest-rmsle:0.83981 238s Finished Squared Log Error in: 0.03554511070251465 238s [0] dtrain-PyRMSLE:1.37154 dtest-PyRMSLE:1.31491 238s [1] dtrain-PyRMSLE:1.26642 dtest-PyRMSLE:1.20792 238s [2] dtrain-PyRMSLE:1.17525 dtest-PyRMSLE:1.11539 238s [3] dtrain-PyRMSLE:1.09848 dtest-PyRMSLE:1.03800 238s [4] dtrain-PyRMSLE:1.03565 dtest-PyRMSLE:0.97673 238s [5] dtrain-PyRMSLE:0.98595 dtest-PyRMSLE:0.93063 238s [6] dtrain-PyRMSLE:0.94774 dtest-PyRMSLE:0.89723 238s [7] dtrain-PyRMSLE:0.91977 dtest-PyRMSLE:0.87448 238s [8] dtrain-PyRMSLE:0.89796 dtest-PyRMSLE:0.85932 238s [9] dtrain-PyRMSLE:0.88141 dtest-PyRMSLE:0.85028 238s [10] dtrain-PyRMSLE:0.86816 dtest-PyRMSLE:0.84450 238s [11] dtrain-PyRMSLE:0.85991 dtest-PyRMSLE:0.84015 238s [12] dtrain-PyRMSLE:0.85120 dtest-PyRMSLE:0.83900 238s [13] dtrain-PyRMSLE:0.84384 dtest-PyRMSLE:0.83775 238s [14] dtrain-PyRMSLE:0.83741 dtest-PyRMSLE:0.83732 238s [15] dtrain-PyRMSLE:0.83253 dtest-PyRMSLE:0.83800 238s [16] dtrain-PyRMSLE:0.82842 dtest-PyRMSLE:0.83827 238s [17] dtrain-PyRMSLE:0.82535 dtest-PyRMSLE:0.83844 238s [18] dtrain-PyRMSLE:0.82169 dtest-PyRMSLE:0.83953 238s [19] dtrain-PyRMSLE:0.81857 dtest-PyRMSLE:0.84046 238s ========================================== 238s Running case custom_softmax.py... 239s /tmp/autopkgtest.hYCad9/build.k5a/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.) 239s grad[r, c] = g 239s [0] train-PyMError:0.14000 239s [1] train-PyMError:0.00000 239s [2] train-PyMError:0.01000 239s [3] train-PyMError:0.00000 239s [4] train-PyMError:0.00000 239s [5] train-PyMError:0.00000 239s [6] train-PyMError:0.00000 239s [7] train-PyMError:0.00000 239s [8] train-PyMError:0.00000 239s [9] train-PyMError:0.00000 239s [0] train-merror:0.14000 239s [1] train-merror:0.00000 239s [2] train-merror:0.01000 239s [3] train-merror:0.00000 239s [4] train-merror:0.00000 239s [5] train-merror:0.00000 239s [6] train-merror:0.00000 239s [7] train-merror:0.00000 239s [8] train-merror:0.00000 239s [9] train-merror:0.00000 239s ========================================== 239s Running case evals_result.py... 240s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 240s warnings.warn(msg, FutureWarning) 240s [0] eval-logloss:0.47977 eval-error:0.04283 train-logloss:0.48196 train-error:0.04652 240s [1] eval-logloss:0.35740 eval-error:0.04283 train-logloss:0.35919 train-error:0.04652 240s Access logloss metric directly from evals_result: 240s [0.4797663698279288, 0.35739665886839306] 240s 240s Access metrics through a loop: 240s - eval 240s - logloss 240s - [0.4797663698279288, 0.35739665886839306] 240s - error 240s - [0.04283054003724395, 0.04283054003724395] 240s - train 240s - logloss 240s - [0.4819583435789261, 0.35919429156594646] 240s - error 240s - [0.04652233993551359, 0.04652233993551359] 240s 240s Access complete dictionary: 240s {'eval': OrderedDict({'logloss': [0.4797663698279288, 0.35739665886839306], 'error': [0.04283054003724395, 0.04283054003724395]}), 'train': OrderedDict({'logloss': [0.4819583435789261, 0.35919429156594646], 'error': [0.04652233993551359, 0.04652233993551359]})} 240s ========================================== 240s Running case external_memory.py... 241s [0] Train-rmse:170.67905 241s [1] Train-rmse:166.88130 241s [2] Train-rmse:163.67251 241s [3] Train-rmse:160.83024 241s [4] Train-rmse:158.26351 241s [5] Train-rmse:155.91569 241s [6] Train-rmse:153.74380 241s [7] Train-rmse:151.74583 241s [8] Train-rmse:149.92400 241s [9] Train-rmse:148.14658 242s ========================================== 242s Running case feature_weights.py... 243s [0] d-rmse:1.00430 243s [1] d-rmse:0.99638 243s [2] d-rmse:0.98161 243s [3] d-rmse:0.97086 243s [4] d-rmse:0.96269 243s [5] d-rmse:0.94829 243s [6] d-rmse:0.93914 243s [7] d-rmse:0.93187 243s [8] d-rmse:0.92274 243s [9] d-rmse:0.91749 243s ========================================== 243s Skip case gamma_regression.py... 243s ========================================== 243s Running case generalized_linear_model.py... 244s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 244s warnings.warn(msg, FutureWarning) 244s [0] eval-logloss:0.57144 train-logloss:0.56881 244s [1] eval-logloss:0.53016 train-logloss:0.52654 244s [2] eval-logloss:0.51445 train-logloss:0.51045 244s [3] eval-logloss:0.50819 train-logloss:0.50405 244s error=0.118560 244s ========================================== 244s Running case individual_trees.py... 245s ========================================== 245s Skip case learning_to_rank.py... 245s ========================================== 245s Running case multioutput_regression.py... 246s [0] validation_0-rmse:0.29417 246s [1] validation_0-rmse:0.26360 246s [2] validation_0-rmse:0.23619 246s [3] validation_0-rmse:0.22068 246s [4] validation_0-rmse:0.20681 246s [5] validation_0-rmse:0.19295 246s [6] validation_0-rmse:0.17849 246s [7] validation_0-rmse:0.16562 246s [8] validation_0-rmse:0.15492 246s [9] validation_0-rmse:0.14493 246s [10] validation_0-rmse:0.13892 246s [11] validation_0-rmse:0.13172 246s [12] validation_0-rmse:0.12253 246s [13] validation_0-rmse:0.11744 246s [14] validation_0-rmse:0.10981 246s [15] validation_0-rmse:0.10176 246s [16] validation_0-rmse:0.09476 246s [17] 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246s [127] validation_0-rmse:0.00092 246s [0] validation_0-rmse:0.29633 246s [1] validation_0-rmse:0.27038 246s [2] validation_0-rmse:0.24670 246s [3] validation_0-rmse:0.22485 246s [4] validation_0-rmse:0.20795 246s [5] validation_0-rmse:0.19109 246s [6] validation_0-rmse:0.17936 246s [7] validation_0-rmse:0.17053 246s [8] validation_0-rmse:0.16198 246s [9] validation_0-rmse:0.15406 246s [10] validation_0-rmse:0.14510 246s [11] validation_0-rmse:0.13641 246s [12] validation_0-rmse:0.12550 246s [13] validation_0-rmse:0.11761 246s [14] validation_0-rmse:0.11132 246s [15] validation_0-rmse:0.10186 246s [16] validation_0-rmse:0.09376 246s [17] validation_0-rmse:0.08897 246s [18] validation_0-rmse:0.08226 246s [19] validation_0-rmse:0.07742 246s [20] validation_0-rmse:0.07209 246s [21] validation_0-rmse:0.06959 246s [22] validation_0-rmse:0.06703 246s [23] validation_0-rmse:0.06274 246s [24] validation_0-rmse:0.05932 246s [25] validation_0-rmse:0.05540 246s [26] validation_0-rmse:0.05157 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validation_0-rmse:0.00093 246s [110] validation_0-rmse:0.00091 246s [111] validation_0-rmse:0.00087 246s [112] validation_0-rmse:0.00086 246s [113] validation_0-rmse:0.00084 246s [114] validation_0-rmse:0.00084 246s [115] validation_0-rmse:0.00083 246s [116] validation_0-rmse:0.00083 246s [117] validation_0-rmse:0.00082 246s [118] validation_0-rmse:0.00082 246s [119] validation_0-rmse:0.00081 246s [120] validation_0-rmse:0.00080 246s [121] validation_0-rmse:0.00079 246s [122] validation_0-rmse:0.00079 246s [123] validation_0-rmse:0.00078 246s [124] validation_0-rmse:0.00078 246s [125] validation_0-rmse:0.00077 246s [126] validation_0-rmse:0.00077 246s [127] validation_0-rmse:0.00076 246s [0] Train-rmse:0.28597 Train-PyRMSE:4.04424 246s [1] Train-rmse:0.25494 Train-PyRMSE:3.60534 246s [2] Train-rmse:0.23359 Train-PyRMSE:3.30341 246s [3] Train-rmse:0.21640 Train-PyRMSE:3.06038 246s [4] Train-rmse:0.20574 Train-PyRMSE:2.90962 246s [5] Train-rmse:0.19311 Train-PyRMSE:2.73098 246s [6] Train-rmse:0.18435 Train-PyRMSE:2.60710 246s [7] Train-rmse:0.17502 Train-PyRMSE:2.47516 246s [8] Train-rmse:0.16830 Train-PyRMSE:2.38017 246s [9] Train-rmse:0.15957 Train-PyRMSE:2.25667 246s [10] Train-rmse:0.15430 Train-PyRMSE:2.18211 246s [11] Train-rmse:0.14604 Train-PyRMSE:2.06533 246s [12] Train-rmse:0.13629 Train-PyRMSE:1.92740 246s [13] Train-rmse:0.13249 Train-PyRMSE:1.87376 246s [14] Train-rmse:0.12557 Train-PyRMSE:1.77588 246s [15] Train-rmse:0.12198 Train-PyRMSE:1.72505 246s [16] Train-rmse:0.11972 Train-PyRMSE:1.69314 246s [17] Train-rmse:0.11345 Train-PyRMSE:1.60444 246s [18] Train-rmse:0.10926 Train-PyRMSE:1.54524 246s [19] Train-rmse:0.10367 Train-PyRMSE:1.46616 246s [20] Train-rmse:0.09938 Train-PyRMSE:1.40550 246s [21] Train-rmse:0.09543 Train-PyRMSE:1.34963 246s [22] Train-rmse:0.09302 Train-PyRMSE:1.31552 246s [23] Train-rmse:0.08848 Train-PyRMSE:1.25132 246s [24] Train-rmse:0.08575 Train-PyRMSE:1.21274 246s [25] Train-rmse:0.08280 Train-PyRMSE:1.17092 246s [26] Train-rmse:0.07694 Train-PyRMSE:1.08803 246s [27] Train-rmse:0.07375 Train-PyRMSE:1.04299 246s [28] Train-rmse:0.07137 Train-PyRMSE:1.00927 246s [29] Train-rmse:0.06737 Train-PyRMSE:0.95281 246s [30] Train-rmse:0.06433 Train-PyRMSE:0.90978 246s [31] Train-rmse:0.06239 Train-PyRMSE:0.88235 246s [32] Train-rmse:0.06093 Train-PyRMSE:0.86164 246s [33] Train-rmse:0.05800 Train-PyRMSE:0.82031 246s [34] Train-rmse:0.05568 Train-PyRMSE:0.78745 246s [35] Train-rmse:0.05430 Train-PyRMSE:0.76797 246s [36] Train-rmse:0.05124 Train-PyRMSE:0.72468 246s [37] Train-rmse:0.04849 Train-PyRMSE:0.68580 246s [38] Train-rmse:0.04754 Train-PyRMSE:0.67231 246s [39] Train-rmse:0.04704 Train-PyRMSE:0.66519 246s [40] Train-rmse:0.04449 Train-PyRMSE:0.62916 246s [41] Train-rmse:0.04374 Train-PyRMSE:0.61865 246s [42] Train-rmse:0.04281 Train-PyRMSE:0.60545 246s [43] Train-rmse:0.04101 Train-PyRMSE:0.58000 246s [44] Train-rmse:0.03921 Train-PyRMSE:0.55448 246s [45] Train-rmse:0.03761 Train-PyRMSE:0.53186 246s [46] 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[106] Train-rmse:0.00568 Train-PyRMSE:0.08027 246s [107] Train-rmse:0.00542 Train-PyRMSE:0.07665 246s [108] Train-rmse:0.00521 Train-PyRMSE:0.07373 246s [109] Train-rmse:0.00502 Train-PyRMSE:0.07100 246s [110] Train-rmse:0.00486 Train-PyRMSE:0.06869 246s [111] Train-rmse:0.00468 Train-PyRMSE:0.06612 246s [112] Train-rmse:0.00452 Train-PyRMSE:0.06399 246s [113] Train-rmse:0.00447 Train-PyRMSE:0.06324 246s [114] Train-rmse:0.00429 Train-PyRMSE:0.06062 246s [115] Train-rmse:0.00414 Train-PyRMSE:0.05856 246s [116] Train-rmse:0.00403 Train-PyRMSE:0.05697 246s [117] Train-rmse:0.00389 Train-PyRMSE:0.05498 246s [118] Train-rmse:0.00377 Train-PyRMSE:0.05330 246s [119] Train-rmse:0.00371 Train-PyRMSE:0.05251 246s [120] Train-rmse:0.00358 Train-PyRMSE:0.05058 246s [121] Train-rmse:0.00349 Train-PyRMSE:0.04940 246s [122] Train-rmse:0.00336 Train-PyRMSE:0.04751 246s [123] Train-rmse:0.00332 Train-PyRMSE:0.04702 246s [124] Train-rmse:0.00324 Train-PyRMSE:0.04584 246s [125] Train-rmse:0.00321 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Train-PyRMSE:0.91694 246s [38] Train-rmse:0.06165 Train-PyRMSE:0.87181 246s [39] Train-rmse:0.05937 Train-PyRMSE:0.83965 246s [40] Train-rmse:0.05873 Train-PyRMSE:0.83051 246s [41] Train-rmse:0.05667 Train-PyRMSE:0.80140 246s [42] Train-rmse:0.05596 Train-PyRMSE:0.79141 246s [43] Train-rmse:0.05416 Train-PyRMSE:0.76589 246s [44] Train-rmse:0.05299 Train-PyRMSE:0.74934 246s [45] Train-rmse:0.05052 Train-PyRMSE:0.71453 246s [46] Train-rmse:0.04922 Train-PyRMSE:0.69609 246s [47] Train-rmse:0.04883 Train-PyRMSE:0.69062 246s [48] Train-rmse:0.04610 Train-PyRMSE:0.65199 246s [49] Train-rmse:0.04417 Train-PyRMSE:0.62469 246s [50] Train-rmse:0.04190 Train-PyRMSE:0.59254 246s [51] Train-rmse:0.04114 Train-PyRMSE:0.58181 246s [52] Train-rmse:0.03957 Train-PyRMSE:0.55954 246s [53] Train-rmse:0.03922 Train-PyRMSE:0.55469 246s [54] Train-rmse:0.03852 Train-PyRMSE:0.54478 246s [55] Train-rmse:0.03717 Train-PyRMSE:0.52562 246s [56] Train-rmse:0.03584 Train-PyRMSE:0.50680 246s [57] Train-rmse:0.03429 Train-PyRMSE:0.48498 246s [58] Train-rmse:0.03400 Train-PyRMSE:0.48083 246s [59] Train-rmse:0.03295 Train-PyRMSE:0.46597 246s [60] Train-rmse:0.03237 Train-PyRMSE:0.45775 246s [61] Train-rmse:0.03091 Train-PyRMSE:0.43707 246s [62] Train-rmse:0.02998 Train-PyRMSE:0.42399 246s [63] Train-rmse:0.02849 Train-PyRMSE:0.40286 246s [64] Train-rmse:0.02729 Train-PyRMSE:0.38595 247s [65] Train-rmse:0.02692 Train-PyRMSE:0.38069 247s [66] Train-rmse:0.02618 Train-PyRMSE:0.37018 247s [67] Train-rmse:0.02588 Train-PyRMSE:0.36600 247s [68] Train-rmse:0.02491 Train-PyRMSE:0.35229 247s [69] Train-rmse:0.02428 Train-PyRMSE:0.34344 247s [70] Train-rmse:0.02398 Train-PyRMSE:0.33907 247s [71] Train-rmse:0.02309 Train-PyRMSE:0.32650 247s [72] Train-rmse:0.02219 Train-PyRMSE:0.31381 247s [73] Train-rmse:0.02094 Train-PyRMSE:0.29616 247s [74] Train-rmse:0.02079 Train-PyRMSE:0.29398 247s [75] Train-rmse:0.02028 Train-PyRMSE:0.28685 247s [76] Train-rmse:0.01931 Train-PyRMSE:0.27311 247s [77] Train-rmse:0.01919 Train-PyRMSE:0.27140 247s [78] Train-rmse:0.01862 Train-PyRMSE:0.26336 247s [79] Train-rmse:0.01743 Train-PyRMSE:0.24652 247s [80] Train-rmse:0.01699 Train-PyRMSE:0.24033 247s [81] Train-rmse:0.01644 Train-PyRMSE:0.23256 247s [82] Train-rmse:0.01565 Train-PyRMSE:0.22127 247s [83] Train-rmse:0.01526 Train-PyRMSE:0.21582 247s [84] Train-rmse:0.01503 Train-PyRMSE:0.21258 247s [85] Train-rmse:0.01450 Train-PyRMSE:0.20508 247s [86] Train-rmse:0.01410 Train-PyRMSE:0.19936 247s [87] Train-rmse:0.01349 Train-PyRMSE:0.19080 247s [88] Train-rmse:0.01288 Train-PyRMSE:0.18211 247s [89] Train-rmse:0.01278 Train-PyRMSE:0.18071 247s [90] Train-rmse:0.01220 Train-PyRMSE:0.17252 247s [91] Train-rmse:0.01179 Train-PyRMSE:0.16679 247s [92] Train-rmse:0.01166 Train-PyRMSE:0.16490 247s [93] Train-rmse:0.01132 Train-PyRMSE:0.16008 247s [94] Train-rmse:0.01088 Train-PyRMSE:0.15388 247s [95] Train-rmse:0.01060 Train-PyRMSE:0.14993 247s [96] Train-rmse:0.01006 Train-PyRMSE:0.14229 247s [97] Train-rmse:0.00998 Train-PyRMSE:0.14109 247s [98] Train-rmse:0.00954 Train-PyRMSE:0.13496 247s [99] Train-rmse:0.00948 Train-PyRMSE:0.13406 247s [100] Train-rmse:0.00926 Train-PyRMSE:0.13098 247s [101] Train-rmse:0.00901 Train-PyRMSE:0.12747 247s [102] Train-rmse:0.00885 Train-PyRMSE:0.12510 247s [103] Train-rmse:0.00847 Train-PyRMSE:0.11979 247s [104] Train-rmse:0.00833 Train-PyRMSE:0.11784 247s [105] Train-rmse:0.00791 Train-PyRMSE:0.11187 247s [106] Train-rmse:0.00787 Train-PyRMSE:0.11125 247s [107] Train-rmse:0.00755 Train-PyRMSE:0.10682 247s [108] Train-rmse:0.00724 Train-PyRMSE:0.10245 247s [109] Train-rmse:0.00705 Train-PyRMSE:0.09976 247s [110] Train-rmse:0.00683 Train-PyRMSE:0.09662 247s [111] Train-rmse:0.00656 Train-PyRMSE:0.09274 247s [112] Train-rmse:0.00641 Train-PyRMSE:0.09058 247s [113] Train-rmse:0.00631 Train-PyRMSE:0.08921 247s [114] Train-rmse:0.00606 Train-PyRMSE:0.08569 247s [115] Train-rmse:0.00583 Train-PyRMSE:0.08241 247s [116] Train-rmse:0.00578 Train-PyRMSE:0.08175 247s [117] Train-rmse:0.00562 Train-PyRMSE:0.07946 247s [118] Train-rmse:0.00553 Train-PyRMSE:0.07818 247s [119] Train-rmse:0.00533 Train-PyRMSE:0.07539 247s [120] Train-rmse:0.00514 Train-PyRMSE:0.07262 247s [121] Train-rmse:0.00510 Train-PyRMSE:0.07211 247s [122] Train-rmse:0.00501 Train-PyRMSE:0.07088 247s [123] Train-rmse:0.00489 Train-PyRMSE:0.06912 247s [124] Train-rmse:0.00475 Train-PyRMSE:0.06722 247s [125] Train-rmse:0.00473 Train-PyRMSE:0.06690 247s [126] Train-rmse:0.00467 Train-PyRMSE:0.06603 247s [127] Train-rmse:0.00443 Train-PyRMSE:0.06259 247s ========================================== 247s Running case predict_first_ntree.py... 248s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 248s warnings.warn(msg, FutureWarning) 248s [0] eval-logloss:0.22646 train-logloss:0.23316 248s [1] eval-logloss:0.13776 train-logloss:0.13654 248s [2] eval-logloss:0.08036 train-logloss:0.08243 248s start testing prediction from first n trees 248s error of ypred1=0.042831 248s error of ypred2=0.006207 248s [0] validation_0-logloss:0.22646 248s [1] validation_0-logloss:0.13776 248s [2] validation_0-logloss:0.08036 248s start testing prediction from first n trees 248s error of ypred1=0.042831 248s error of ypred2=0.006207 248s ========================================== 248s Running case predict_leaf_indices.py... 249s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 249s warnings.warn(msg, FutureWarning) 249s [0] eval-logloss:0.22646 train-logloss:0.23316 249s [1] eval-logloss:0.13776 train-logloss:0.13654 249s [2] eval-logloss:0.08036 train-logloss:0.08243 249s start testing predict the leaf indices 249s (1611, 2, 1, 1) 249s [[[[5.]] 249s 249s [[4.]]] 249s 249s 249s [[[6.]] 249s 249s [[4.]]] 249s 249s 249s [[[5.]] 249s 249s [[4.]]] 249s 249s 249s ... 249s 249s 249s [[[6.]] 249s 249s [[4.]]] 249s 249s 249s [[[4.]] 249s 249s [[3.]]] 249s 249s 249s [[[6.]] 249s 249s [[4.]]]] 249s (1611, 3) 249s ========================================== 249s Skip case quantile_data_iterator.py... 249s ========================================== 249s Running case quantile_regression.py... 250s [0] Train-quantile:1.50159 Test-quantile:1.45489 250s [1] Train-quantile:1.41395 Test-quantile:1.36960 250s [2] Train-quantile:1.33178 Test-quantile:1.28702 250s [3] Train-quantile:1.25429 Test-quantile:1.21133 250s [4] Train-quantile:1.18373 Test-quantile:1.13959 250s [5] Train-quantile:1.11898 Test-quantile:1.07261 250s [6] Train-quantile:1.05770 Test-quantile:1.01264 250s [7] Train-quantile:1.00142 Test-quantile:0.96139 250s [8] Train-quantile:0.94844 Test-quantile:0.91339 250s [9] Train-quantile:0.89917 Test-quantile:0.86934 250s [10] Train-quantile:0.85692 Test-quantile:0.82830 250s [11] Train-quantile:0.81823 Test-quantile:0.79270 250s [12] Train-quantile:0.78400 Test-quantile:0.75817 250s [13] Train-quantile:0.75333 Test-quantile:0.72983 250s [14] Train-quantile:0.72555 Test-quantile:0.70335 250s [15] Train-quantile:0.69885 Test-quantile:0.67960 250s [16] Train-quantile:0.67482 Test-quantile:0.65947 250s [17] Train-quantile:0.65359 Test-quantile:0.64055 250s [18] Train-quantile:0.63363 Test-quantile:0.62346 250s [19] Train-quantile:0.61495 Test-quantile:0.60855 250s [20] Train-quantile:0.59783 Test-quantile:0.59489 250s [21] Train-quantile:0.58197 Test-quantile:0.58130 250s [22] Train-quantile:0.56682 Test-quantile:0.56949 250s [23] Train-quantile:0.55237 Test-quantile:0.55744 250s [24] Train-quantile:0.53809 Test-quantile:0.54622 250s [25] Train-quantile:0.52441 Test-quantile:0.53571 250s [26] Train-quantile:0.51174 Test-quantile:0.52520 250s [27] Train-quantile:0.49974 Test-quantile:0.51546 250s [28] Train-quantile:0.48865 Test-quantile:0.50628 250s [29] Train-quantile:0.47833 Test-quantile:0.49784 250s [30] Train-quantile:0.46895 Test-quantile:0.48966 250s [31] Train-quantile:0.45900 Test-quantile:0.48302 250s [0] Train-rmse:4.32523 Test-rmse:4.63143 250s [1] Train-rmse:4.21367 Test-rmse:4.53399 250s [2] Train-rmse:4.10813 Test-rmse:4.44222 250s [3] Train-rmse:4.00795 Test-rmse:4.35559 250s [4] Train-rmse:3.91314 Test-rmse:4.27507 250s [5] Train-rmse:3.82342 Test-rmse:4.19994 250s [6] Train-rmse:3.73860 Test-rmse:4.12864 250s [7] Train-rmse:3.65855 Test-rmse:4.06333 250s [8] Train-rmse:3.58302 Test-rmse:3.99920 250s [9] Train-rmse:3.51166 Test-rmse:3.94100 250s [10] Train-rmse:3.44443 Test-rmse:3.88581 250s [11] Train-rmse:3.38085 Test-rmse:3.83491 250s [12] Train-rmse:3.32121 Test-rmse:3.78659 250s [13] Train-rmse:3.26491 Test-rmse:3.74137 250s [14] Train-rmse:3.21217 Test-rmse:3.69918 250s [15] Train-rmse:3.16233 Test-rmse:3.66047 250s [16] Train-rmse:3.11625 Test-rmse:3.62292 250s [17] Train-rmse:3.07250 Test-rmse:3.58980 250s [18] Train-rmse:3.03120 Test-rmse:3.55971 250s [19] Train-rmse:2.99260 Test-rmse:3.53039 250s [20] Train-rmse:2.95471 Test-rmse:3.50273 250s [21] Train-rmse:2.92082 Test-rmse:3.47765 250s [22] Train-rmse:2.88707 Test-rmse:3.45409 250s [23] Train-rmse:2.85719 Test-rmse:3.43196 250s [24] Train-rmse:2.82955 Test-rmse:3.41116 250s [25] Train-rmse:2.80145 Test-rmse:3.39262 250s [26] Train-rmse:2.77526 Test-rmse:3.37544 250s [27] Train-rmse:2.75237 Test-rmse:3.35703 250s [28] Train-rmse:2.73071 Test-rmse:3.34065 250s [29] Train-rmse:2.70895 Test-rmse:3.32714 250s [30] Train-rmse:2.69007 Test-rmse:3.31295 250s [31] Train-rmse:2.67125 Test-rmse:3.30119 250s ========================================== 250s Running case sklearn_evals_result.py... 251s [0] validation_0-logloss:0.63169 validation_1-logloss:0.65974 251s [1] validation_0-logloss:0.58449 validation_1-logloss:0.62161 251s Access logloss metric directly from validation_0: 251s [0.6316909282654524, 0.5844871088303626] 251s 251s Access metrics through a loop: 251s - validation_0 251s - logloss 251s - [0.6316909282654524, 0.5844871088303626] 251s - validation_1 251s - logloss 251s - [0.6597448766976595, 0.6216080508381129] 251s 251s Access complete dict: 251s {'validation_0': OrderedDict({'logloss': [0.6316909282654524, 0.5844871088303626]}), 'validation_1': OrderedDict({'logloss': [0.6597448766976595, 0.6216080508381129]})} 251s ========================================== 251s Running case sklearn_examples.py... 255s Zeros and Ones from the Digits dataset: binary classification 255s [[87 0] 255s [ 1 92]] 255s [[91 0] 255s [ 3 86]] 255s Iris: multiclass classification 255s [[19 0 0] 255s [ 1 31 2] 255s [ 0 3 19]] 255s [[31 0 0] 255s [ 0 16 0] 255s [ 0 1 27]] 255s California Housing: regression 255s 0.2310805601814026 255s 0.23533764411819863 255s Parameter optimization 255s Fitting 3 folds for each of 4 candidates, totalling 12 fits 255s 0.6838972456687431 255s {'max_depth': 4, 'n_estimators': 100} 255s Pickling sklearn API models 255s True 255s [0] validation_0-auc:0.99020 255s [1] validation_0-auc:0.99975 255s [2] validation_0-auc:0.99975 255s [3] validation_0-auc:0.99975 255s [4] validation_0-auc:0.99975 255s [5] validation_0-auc:0.99975 255s [6] validation_0-auc:1.00000 255s [7] validation_0-auc:1.00000 255s [8] validation_0-auc:1.00000 255s [9] validation_0-auc:1.00000 255s [10] validation_0-auc:1.00000 255s [11] validation_0-auc:1.00000 255s [12] validation_0-auc:1.00000 255s [13] validation_0-auc:1.00000 255s [14] validation_0-auc:1.00000 255s [15] validation_0-auc:1.00000 255s ========================================== 255s Running case sklearn_parallel.py... 256s Parallel Parameter optimization 256s Fitting 5 folds for each of 9 candidates, totalling 45 fits 263s 0.688555675183378 263s {'max_depth': 4, 'n_estimators': 50} 263s Exception ignored in: 263s Traceback (most recent call last): 263s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 263s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 263s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 263s ChildProcessError: [Errno 10] No child processes 263s Exception ignored in: 263s Traceback (most recent call last): 263s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 263s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 263s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 263s ChildProcessError: [Errno 10] No child processes 263s ========================================== 263s Skip case spark_estimator_examples.py... 263s ========================================== 263s Skip case update_process.py... 263s ========================================== 263s All cases passed. 263s /tmp/autopkgtest.hYCad9/wrapper.sh: Killing leaked background processes: 3079 263s PID TTY STAT TIME COMMAND 263s 3079 ? R 0:00 /usr/bin/python3 -c from joblib.externals.loky.backend.resource_tracker import main; main(3, False) 263s autopkgtest [05:04:13]: test run-demos: -----------------------] 264s autopkgtest [05:04:14]: test run-demos: - - - - - - - - - - results - - - - - - - - - - 264s run-demos PASS 265s autopkgtest [05:04:15]: @@@@@@@@@@@@@@@@@@@@ summary 265s run-demos PASS 283s nova [W] Skipping flock for amd64 283s Creating nova instance adt-questing-amd64-xgboost-20250502-045949-juju-7f2275-prod-proposed-migration-environment-23-f438fdde-a398-4217-aedf-a9358798cfe4 from image adt/ubuntu-questing-amd64-server-20250502.img (UUID 9956ea44-e870-4bd8-8ad1-dc5f8a09f1f9)... 283s nova [W] Timed out waiting for 496348d8-5ffa-424a-9eb4-273dc7830a5a to get deleted.