0s autopkgtest [19:43:38]: starting date and time: 2025-05-01 19:43:38+0000 0s autopkgtest [19:43:38]: git checkout: 9986aa8c Merge branch 'skia/fix_network_interface' into 'ubuntu/production' 0s autopkgtest [19:43:38]: host juju-7f2275-prod-proposed-migration-environment-9; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.qrz1togk/out --timeout-copy=6000 --setup-commands 'ln -s /dev/null /etc/systemd/system/bluetooth.service; printf "http_proxy=http://squid.internal:3128\nhttps_proxy=http://squid.internal:3128\nno_proxy=127.0.0.1,127.0.1.1,localhost,localdomain,internal,login.ubuntu.com,archive.ubuntu.com,ports.ubuntu.com,security.ubuntu.com,ddebs.ubuntu.com,changelogs.ubuntu.com,keyserver.ubuntu.com,launchpadlibrarian.net,launchpadcontent.net,launchpad.net,keystone.ps5.canonical.com,objectstorage.prodstack5.canonical.com,radosgw.ps5.canonical.com\n" >> /etc/environment' --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 -- lxd -r lxd-armhf-10.145.243.85 lxd-armhf-10.145.243.85:autopkgtest/ubuntu/questing/armhf 20s autopkgtest [19:43:58]: testbed dpkg architecture: armhf 22s autopkgtest [19:44:00]: testbed apt version: 3.0.0 25s autopkgtest [19:44:03]: @@@@@@@@@@@@@@@@@@@@ test bed setup 27s autopkgtest [19:44:05]: testbed release detected to be: None 34s autopkgtest [19:44:12]: updating testbed package index (apt update) 36s Get:1 http://ftpmaster.internal/ubuntu questing-proposed InRelease [110 kB] 37s Get:2 http://ftpmaster.internal/ubuntu questing InRelease [110 kB] 37s Get:3 http://ftpmaster.internal/ubuntu questing-updates InRelease [110 kB] 37s Get:4 http://ftpmaster.internal/ubuntu questing-security InRelease [110 kB] 37s Get:5 http://ftpmaster.internal/ubuntu questing-proposed/multiverse Sources [27.6 kB] 37s Get:6 http://ftpmaster.internal/ubuntu questing-proposed/universe Sources [1149 kB] 37s Get:7 http://ftpmaster.internal/ubuntu questing-proposed/main Sources [126 kB] 37s Get:8 http://ftpmaster.internal/ubuntu questing-proposed/main armhf Packages [48.9 kB] 37s Get:9 http://ftpmaster.internal/ubuntu questing-proposed/universe armhf Packages [242 kB] 37s Get:10 http://ftpmaster.internal/ubuntu questing-proposed/multiverse armhf Packages [1104 B] 37s Get:11 http://ftpmaster.internal/ubuntu questing/universe Sources [21.1 MB] 39s Get:12 http://ftpmaster.internal/ubuntu questing/main Sources [1387 kB] 39s Get:13 http://ftpmaster.internal/ubuntu questing/main armhf Packages [1358 kB] 40s Get:14 http://ftpmaster.internal/ubuntu questing/universe armhf Packages [15.3 MB] 43s Fetched 41.2 MB in 7s (5821 kB/s) 44s Reading package lists... 50s autopkgtest [19:44:28]: upgrading testbed (apt dist-upgrade and autopurge) 52s Reading package lists... 52s Building dependency tree... 52s Reading state information... 53s Calculating upgrade...Starting pkgProblemResolver with broken count: 0 53s Starting 2 pkgProblemResolver with broken count: 0 53s Done 54s Entering ResolveByKeep 54s 54s Calculating upgrade... 55s The following packages will be upgraded: 55s base-files ca-certificates distro-info-data dpkg dpkg-dev libdpkg-perl 55s motd-news-config ubuntu-pro-client ubuntu-pro-client-l10n 55s 9 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 55s Need to get 3152 kB of archives. 55s After this operation, 6144 B disk space will be freed. 55s Get:1 http://ftpmaster.internal/ubuntu questing/main armhf motd-news-config all 13.7ubuntu1 [5260 B] 55s Get:2 http://ftpmaster.internal/ubuntu questing/main armhf base-files armhf 13.7ubuntu1 [75.4 kB] 55s Get:3 http://ftpmaster.internal/ubuntu questing/main armhf dpkg armhf 1.22.18ubuntu3 [1254 kB] 56s Get:4 http://ftpmaster.internal/ubuntu questing-proposed/main armhf ca-certificates all 20250419 [163 kB] 56s Get:5 http://ftpmaster.internal/ubuntu questing/main armhf distro-info-data all 0.64 [6664 B] 56s Get:6 http://ftpmaster.internal/ubuntu questing/main armhf ubuntu-pro-client-l10n armhf 35.1ubuntu0 [19.7 kB] 56s Get:7 http://ftpmaster.internal/ubuntu questing/main armhf ubuntu-pro-client armhf 35.1ubuntu0 [258 kB] 56s Get:8 http://ftpmaster.internal/ubuntu questing/main armhf dpkg-dev all 1.22.18ubuntu3 [1089 kB] 56s Get:9 http://ftpmaster.internal/ubuntu questing/main armhf libdpkg-perl all 1.22.18ubuntu3 [281 kB] 56s Preconfiguring packages ... 58s Fetched 3152 kB in 1s (4099 kB/s) 58s (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 ... 63953 files and directories currently installed.) 58s Preparing to unpack .../motd-news-config_13.7ubuntu1_all.deb ... 58s Unpacking motd-news-config (13.7ubuntu1) over (13.6ubuntu2) ... 58s Preparing to unpack .../base-files_13.7ubuntu1_armhf.deb ... 59s Unpacking base-files (13.7ubuntu1) over (13.6ubuntu2) ... 59s Setting up base-files (13.7ubuntu1) ... 59s Installing new version of config file /etc/issue ... 59s Installing new version of config file /etc/issue.net ... 59s Installing new version of config file /etc/lsb-release ... 60s motd-news.service is a disabled or a static unit not running, not starting it. 60s (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 ... 63953 files and directories currently installed.) 60s Preparing to unpack .../dpkg_1.22.18ubuntu3_armhf.deb ... 60s Unpacking dpkg (1.22.18ubuntu3) over (1.22.18ubuntu2) ... 60s Setting up dpkg (1.22.18ubuntu3) ... 60s (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 ... 63953 files and directories currently installed.) 60s Preparing to unpack .../0-ca-certificates_20250419_all.deb ... 60s Unpacking ca-certificates (20250419) over (20241223) ... 61s Preparing to unpack .../1-distro-info-data_0.64_all.deb ... 61s Unpacking distro-info-data (0.64) over (0.63) ... 61s Preparing to unpack .../2-ubuntu-pro-client-l10n_35.1ubuntu0_armhf.deb ... 61s Unpacking ubuntu-pro-client-l10n (35.1ubuntu0) over (35) ... 61s Preparing to unpack .../3-ubuntu-pro-client_35.1ubuntu0_armhf.deb ... 61s Unpacking ubuntu-pro-client (35.1ubuntu0) over (35) ... 61s Preparing to unpack .../4-dpkg-dev_1.22.18ubuntu3_all.deb ... 61s Unpacking dpkg-dev (1.22.18ubuntu3) over (1.22.18ubuntu2) ... 61s Preparing to unpack .../5-libdpkg-perl_1.22.18ubuntu3_all.deb ... 61s Unpacking libdpkg-perl (1.22.18ubuntu3) over (1.22.18ubuntu2) ... 61s Setting up motd-news-config (13.7ubuntu1) ... 61s Setting up distro-info-data (0.64) ... 61s Setting up ca-certificates (20250419) ... 65s Updating certificates in /etc/ssl/certs... 67s rehash: warning: skipping ca-certificates.crt, it does not contain exactly one certificate or CRL 67s 2 added, 4 removed; done. 67s Setting up libdpkg-perl (1.22.18ubuntu3) ... 67s Setting up ubuntu-pro-client (35.1ubuntu0) ... 67s apparmor_parser: Unable to replace "ubuntu_pro_apt_news". apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 67s 67s apparmor_parser: Unable to replace "apt_methods". apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 67s 67s apparmor_parser: Unable to replace "ubuntu_pro_esm_cache". apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 67s 69s Setting up ubuntu-pro-client-l10n (35.1ubuntu0) ... 69s Setting up dpkg-dev (1.22.18ubuntu3) ... 69s Processing triggers for install-info (7.1.1-1) ... 69s Processing triggers for man-db (2.13.0-1) ... 71s Processing triggers for plymouth-theme-ubuntu-text (24.004.60-2ubuntu7) ... 71s Processing triggers for ca-certificates (20250419) ... 71s Updating certificates in /etc/ssl/certs... 72s 0 added, 0 removed; done. 72s Running hooks in /etc/ca-certificates/update.d... 72s done. 72s Processing triggers for initramfs-tools (0.147ubuntu1) ... 74s Reading package lists... 75s Building dependency tree... 75s Reading state information... 75s Starting pkgProblemResolver with broken count: 0 75s Starting 2 pkgProblemResolver with broken count: 0 75s Done 76s Solving dependencies... 76s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 79s autopkgtest [19:44:56]: rebooting testbed after setup commands that affected boot 117s autopkgtest [19:45:35]: testbed running kernel: Linux 6.8.0-58-generic #60~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Fri Mar 28 14:48:37 UTC 2 141s autopkgtest [19:45:59]: @@@@@@@@@@@@@@@@@@@@ apt-source xgboost 159s Get:1 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (dsc) [2340 B] 159s Get:2 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (tar) [2138 kB] 159s Get:3 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (diff) [23.2 kB] 159s gpgv: Signature made Wed Mar 5 01:20:21 2025 UTC 159s gpgv: using RSA key 25E3FF2D7F469DBE7D0D4E50AFCFEC8E669CE1C2 159s gpgv: Can't check signature: No public key 159s dpkg-source: warning: cannot verify inline signature for ./xgboost_2.1.4-1build1.dsc: no acceptable signature found 159s autopkgtest [19:46:17]: testing package xgboost version 2.1.4-1build1 161s autopkgtest [19:46:19]: build not needed 166s autopkgtest [19:46:24]: test run-demos: preparing testbed 168s Reading package lists... 168s Building dependency tree... 168s Reading state information... 168s Starting pkgProblemResolver with broken count: 0 168s Starting 2 pkgProblemResolver with broken count: 0 168s Done 170s The following NEW packages will be installed: 170s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3 170s libdeflate0 libdmlc0t64 libfontconfig1 libfreetype6 libgfortran5 libgomp1 170s libgraphite2-3 libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 170s libjs-jquery libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4 170s libopenjp2-7 libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 170s libwebp7 libwebpdemux2 libwebpmux3 libxft2 libxgboost-dev libxgboost0 170s libxrender1 libxslt1.1 libxss1 python-matplotlib-data python3-brotli 170s python3-contourpy python3-cycler python3-decorator python3-fonttools 170s python3-fs python3-joblib python3-kiwisolver python3-lxml python3-lz4 170s python3-matplotlib python3-mpmath python3-numpy python3-numpy-dev 170s python3-pandas python3-pandas-lib python3-pil python3-pil.imagetk 170s python3-platformdirs python3-pytz python3-scipy python3-sklearn 170s python3-sklearn-lib python3-sympy python3-threadpoolctl python3-tk 170s python3-tz python3-ufolib2 python3-unicodedata2 python3-xgboost 170s python3.13-tk tk8.6-blt2.5 unicode-data x11-common 170s 0 upgraded, 75 newly installed, 0 to remove and 0 not upgraded. 170s Need to get 85.1 MB of archives. 170s After this operation, 333 MB of additional disk space will be used. 170s Get:1 http://ftpmaster.internal/ubuntu questing/main armhf python3-numpy-dev armhf 1:2.2.3+ds-5 [141 kB] 170s Get:2 http://ftpmaster.internal/ubuntu questing/main armhf libblas3 armhf 3.12.1-2 [132 kB] 170s Get:3 http://ftpmaster.internal/ubuntu questing/main armhf libgfortran5 armhf 15-20250404-0ubuntu1 [331 kB] 170s Get:4 http://ftpmaster.internal/ubuntu questing/main armhf liblapack3 armhf 3.12.1-2 [2091 kB] 171s Get:5 http://ftpmaster.internal/ubuntu questing/main armhf python3-numpy armhf 1:2.2.3+ds-5 [3725 kB] 171s Get:6 http://ftpmaster.internal/ubuntu questing/main armhf libtcl8.6 armhf 8.6.16+dfsg-1 [909 kB] 171s Get:7 http://ftpmaster.internal/ubuntu questing/main armhf libfreetype6 armhf 2.13.3+dfsg-1 [330 kB] 171s Get:8 http://ftpmaster.internal/ubuntu questing/main armhf fonts-dejavu-mono all 2.37-8 [502 kB] 172s Get:9 http://ftpmaster.internal/ubuntu questing/main armhf fonts-dejavu-core all 2.37-8 [835 kB] 172s Get:10 http://ftpmaster.internal/ubuntu questing/main armhf fontconfig-config armhf 2.15.0-2.2ubuntu1 [37.9 kB] 172s Get:11 http://ftpmaster.internal/ubuntu questing/main armhf libfontconfig1 armhf 2.15.0-2.2ubuntu1 [114 kB] 172s Get:12 http://ftpmaster.internal/ubuntu questing/main armhf libxrender1 armhf 1:0.9.10-1.1build1 [16.0 kB] 172s Get:13 http://ftpmaster.internal/ubuntu questing/main armhf libxft2 armhf 2.3.6-1build1 [37.4 kB] 172s Get:14 http://ftpmaster.internal/ubuntu questing/main armhf x11-common all 1:7.7+23ubuntu4 [21.8 kB] 172s Get:15 http://ftpmaster.internal/ubuntu questing/main armhf libxss1 armhf 1:1.2.3-1build3 [6500 B] 172s Get:16 http://ftpmaster.internal/ubuntu questing/main armhf libtk8.6 armhf 8.6.16-1 [686 kB] 172s Get:17 http://ftpmaster.internal/ubuntu questing/main armhf tk8.6-blt2.5 armhf 2.5.3+dfsg-8 [527 kB] 172s Get:18 http://ftpmaster.internal/ubuntu questing/main armhf blt armhf 2.5.3+dfsg-8 [4824 B] 172s Get:19 http://ftpmaster.internal/ubuntu questing/universe armhf fonts-lyx all 2.4.3-1 [171 kB] 172s Get:20 http://ftpmaster.internal/ubuntu questing/main armhf libdeflate0 armhf 1.23-1 [38.5 kB] 172s Get:21 http://ftpmaster.internal/ubuntu questing/main armhf libgomp1 armhf 15-20250404-0ubuntu1 [128 kB] 172s Get:22 http://ftpmaster.internal/ubuntu questing/universe armhf libdmlc0t64 armhf 0.5+git20240614.1334185-1 [205 kB] 172s Get:23 http://ftpmaster.internal/ubuntu questing/main armhf libgraphite2-3 armhf 1.3.14-2ubuntu1 [64.8 kB] 172s Get:24 http://ftpmaster.internal/ubuntu questing/main armhf libharfbuzz0b armhf 10.2.0-1 [464 kB] 172s Get:25 http://ftpmaster.internal/ubuntu questing/main armhf libimagequant0 armhf 2.18.0-1build1 [31.1 kB] 172s Get:26 http://ftpmaster.internal/ubuntu questing/main armhf libjpeg-turbo8 armhf 2.1.5-3ubuntu2 [127 kB] 172s Get:27 http://ftpmaster.internal/ubuntu questing/main armhf libjpeg8 armhf 8c-2ubuntu11 [2148 B] 172s Get:28 http://ftpmaster.internal/ubuntu questing/main armhf libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB] 172s Get:29 http://ftpmaster.internal/ubuntu questing/universe armhf libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB] 172s Get:30 http://ftpmaster.internal/ubuntu questing/universe armhf liblbfgsb0 armhf 3.0+dfsg.4-1build1 [27.4 kB] 172s Get:31 http://ftpmaster.internal/ubuntu questing/main armhf liblcms2-2 armhf 2.16-2 [137 kB] 172s Get:32 http://ftpmaster.internal/ubuntu questing/main armhf liblerc4 armhf 4.0.0+ds-5ubuntu1 [160 kB] 172s Get:33 http://ftpmaster.internal/ubuntu questing/universe armhf libqhull-r8.0 armhf 2020.2-6build1 [173 kB] 172s Get:34 http://ftpmaster.internal/ubuntu questing/main armhf libraqm0 armhf 0.10.2-1 [12.4 kB] 172s Get:35 http://ftpmaster.internal/ubuntu questing/main armhf libsharpyuv0 armhf 1.5.0-0.1 [16.4 kB] 172s Get:36 http://ftpmaster.internal/ubuntu questing/main armhf libjbig0 armhf 2.1-6.1ubuntu2 [24.9 kB] 172s Get:37 http://ftpmaster.internal/ubuntu questing/main armhf libwebp7 armhf 1.5.0-0.1 [188 kB] 172s Get:38 http://ftpmaster.internal/ubuntu questing/main armhf libtiff6 armhf 4.5.1+git230720-4ubuntu4 [179 kB] 172s Get:39 http://ftpmaster.internal/ubuntu questing/main armhf libwebpdemux2 armhf 1.5.0-0.1 [11.5 kB] 172s Get:40 http://ftpmaster.internal/ubuntu questing/main armhf libwebpmux3 armhf 1.5.0-0.1 [22.4 kB] 172s Get:41 http://ftpmaster.internal/ubuntu questing/universe armhf libxgboost0 armhf 2.1.4-1build1 [1831 kB] 172s Get:42 http://ftpmaster.internal/ubuntu questing/universe armhf libxgboost-dev armhf 2.1.4-1build1 [74.3 kB] 172s Get:43 http://ftpmaster.internal/ubuntu questing/main armhf libxslt1.1 armhf 1.1.39-0exp1ubuntu4 [151 kB] 172s Get:44 http://ftpmaster.internal/ubuntu questing/universe armhf python-matplotlib-data all 3.8.3-7build1 [2934 kB] 172s Get:45 http://ftpmaster.internal/ubuntu questing/universe armhf python3-brotli armhf 1.1.0-2build4 [322 kB] 172s Get:46 http://ftpmaster.internal/ubuntu questing/universe armhf python3-contourpy armhf 1.3.1-1build1 [195 kB] 172s Get:47 http://ftpmaster.internal/ubuntu questing/universe armhf python3-cycler all 0.12.1-1 [9716 B] 173s Get:48 http://ftpmaster.internal/ubuntu questing/main armhf python3-decorator all 5.1.1-5 [10.1 kB] 173s Get:49 http://ftpmaster.internal/ubuntu questing/main armhf python3-platformdirs all 4.3.6-1 [16.8 kB] 173s Get:50 http://ftpmaster.internal/ubuntu questing/universe armhf python3-fs all 2.4.16-7 [90.8 kB] 173s Get:51 http://ftpmaster.internal/ubuntu questing/main armhf python3-lxml armhf 5.3.2-1 [1281 kB] 173s Get:52 http://ftpmaster.internal/ubuntu questing/universe armhf python3-lz4 armhf 4.4.0+dfsg-1build1 [25.3 kB] 173s Get:53 http://ftpmaster.internal/ubuntu questing/universe armhf python3-scipy armhf 1.14.1-4ubuntu2 [16.7 MB] 173s Get:54 http://ftpmaster.internal/ubuntu questing/universe armhf python3-mpmath all 1.3.0-1 [425 kB] 173s Get:55 http://ftpmaster.internal/ubuntu questing/universe armhf python3-sympy all 1.13.3-5 [4229 kB] 174s Get:56 http://ftpmaster.internal/ubuntu questing/universe armhf python3-ufolib2 all 0.17.0+dfsg1-1 [33.5 kB] 174s Get:57 http://ftpmaster.internal/ubuntu questing/universe armhf python3-unicodedata2 armhf 15.1.0+ds-1build3 [357 kB] 174s Get:58 http://ftpmaster.internal/ubuntu questing/universe armhf unicode-data all 15.1.0-1 [8878 kB] 174s Get:59 http://ftpmaster.internal/ubuntu questing/universe armhf python3-fonttools armhf 4.55.3-2build1 [1462 kB] 174s Get:60 http://ftpmaster.internal/ubuntu questing/universe armhf python3-joblib all 1.4.2-3 [205 kB] 174s Get:61 http://ftpmaster.internal/ubuntu questing/universe armhf python3-kiwisolver armhf 1.4.7-3build1 [57.7 kB] 174s Get:62 http://ftpmaster.internal/ubuntu questing/main armhf libopenjp2-7 armhf 2.5.3-2 [172 kB] 174s Get:63 http://ftpmaster.internal/ubuntu questing/main armhf python3-pil armhf 11.1.0-5build1 [435 kB] 174s Get:64 http://ftpmaster.internal/ubuntu questing/main armhf python3.13-tk armhf 3.13.3-1 [104 kB] 174s Get:65 http://ftpmaster.internal/ubuntu questing/main armhf python3-tk armhf 3.13.3-1 [9854 B] 174s Get:66 http://ftpmaster.internal/ubuntu questing/universe armhf python3-pil.imagetk armhf 11.1.0-5build1 [9226 B] 174s Get:67 http://ftpmaster.internal/ubuntu questing/universe armhf python3-matplotlib armhf 3.8.3-7build1 [17.3 MB] 175s Get:68 http://ftpmaster.internal/ubuntu questing/main armhf python3-pytz all 2025.1-3 [162 kB] 175s Get:69 http://ftpmaster.internal/ubuntu questing/main armhf python3-tz all 2025.1-3 [1866 B] 175s Get:70 http://ftpmaster.internal/ubuntu questing/universe armhf python3-pandas-lib armhf 2.2.3+dfsg-8build1 [4877 kB] 175s Get:71 http://ftpmaster.internal/ubuntu questing/universe armhf python3-pandas all 2.2.3+dfsg-8build1 [3112 kB] 176s Get:72 http://ftpmaster.internal/ubuntu questing/universe armhf python3-threadpoolctl all 3.1.0-1 [21.3 kB] 176s Get:73 http://ftpmaster.internal/ubuntu questing/universe armhf python3-sklearn-lib armhf 1.4.2+dfsg-8 [4014 kB] 176s Get:74 http://ftpmaster.internal/ubuntu questing/universe armhf python3-sklearn all 1.4.2+dfsg-8 [2258 kB] 176s Get:75 http://ftpmaster.internal/ubuntu questing/universe armhf python3-xgboost armhf 2.1.4-1build1 [119 kB] 177s Fetched 85.1 MB in 7s (12.9 MB/s) 177s Selecting previously unselected package python3-numpy-dev:armhf. 177s (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 ... 63951 files and directories currently installed.) 177s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.3+ds-5_armhf.deb ... 177s Unpacking python3-numpy-dev:armhf (1:2.2.3+ds-5) ... 177s Selecting previously unselected package libblas3:armhf. 177s Preparing to unpack .../01-libblas3_3.12.1-2_armhf.deb ... 177s Unpacking libblas3:armhf (3.12.1-2) ... 177s Selecting previously unselected package libgfortran5:armhf. 177s Preparing to unpack .../02-libgfortran5_15-20250404-0ubuntu1_armhf.deb ... 177s Unpacking libgfortran5:armhf (15-20250404-0ubuntu1) ... 177s Selecting previously unselected package liblapack3:armhf. 177s Preparing to unpack .../03-liblapack3_3.12.1-2_armhf.deb ... 177s Unpacking liblapack3:armhf (3.12.1-2) ... 177s Selecting previously unselected package python3-numpy. 177s Preparing to unpack .../04-python3-numpy_1%3a2.2.3+ds-5_armhf.deb ... 177s Unpacking python3-numpy (1:2.2.3+ds-5) ... 177s Selecting previously unselected package libtcl8.6:armhf. 177s Preparing to unpack .../05-libtcl8.6_8.6.16+dfsg-1_armhf.deb ... 177s Unpacking libtcl8.6:armhf (8.6.16+dfsg-1) ... 177s Selecting previously unselected package libfreetype6:armhf. 177s Preparing to unpack .../06-libfreetype6_2.13.3+dfsg-1_armhf.deb ... 177s Unpacking libfreetype6:armhf (2.13.3+dfsg-1) ... 177s Selecting previously unselected package fonts-dejavu-mono. 177s Preparing to unpack .../07-fonts-dejavu-mono_2.37-8_all.deb ... 177s Unpacking fonts-dejavu-mono (2.37-8) ... 177s Selecting previously unselected package fonts-dejavu-core. 177s Preparing to unpack .../08-fonts-dejavu-core_2.37-8_all.deb ... 177s Unpacking fonts-dejavu-core (2.37-8) ... 177s Selecting previously unselected package fontconfig-config. 178s Preparing to unpack .../09-fontconfig-config_2.15.0-2.2ubuntu1_armhf.deb ... 178s Unpacking fontconfig-config (2.15.0-2.2ubuntu1) ... 178s Selecting previously unselected package libfontconfig1:armhf. 178s Preparing to unpack .../10-libfontconfig1_2.15.0-2.2ubuntu1_armhf.deb ... 178s Unpacking libfontconfig1:armhf (2.15.0-2.2ubuntu1) ... 178s Selecting previously unselected package libxrender1:armhf. 178s Preparing to unpack .../11-libxrender1_1%3a0.9.10-1.1build1_armhf.deb ... 178s Unpacking libxrender1:armhf (1:0.9.10-1.1build1) ... 178s Selecting previously unselected package libxft2:armhf. 178s Preparing to unpack .../12-libxft2_2.3.6-1build1_armhf.deb ... 178s Unpacking libxft2:armhf (2.3.6-1build1) ... 178s Selecting previously unselected package x11-common. 178s Preparing to unpack .../13-x11-common_1%3a7.7+23ubuntu4_all.deb ... 178s Unpacking x11-common (1:7.7+23ubuntu4) ... 178s Selecting previously unselected package libxss1:armhf. 178s Preparing to unpack .../14-libxss1_1%3a1.2.3-1build3_armhf.deb ... 178s Unpacking libxss1:armhf (1:1.2.3-1build3) ... 178s Selecting previously unselected package libtk8.6:armhf. 178s Preparing to unpack .../15-libtk8.6_8.6.16-1_armhf.deb ... 178s Unpacking libtk8.6:armhf (8.6.16-1) ... 178s Selecting previously unselected package tk8.6-blt2.5. 178s Preparing to unpack .../16-tk8.6-blt2.5_2.5.3+dfsg-8_armhf.deb ... 178s Unpacking tk8.6-blt2.5 (2.5.3+dfsg-8) ... 178s Selecting previously unselected package blt. 178s Preparing to unpack .../17-blt_2.5.3+dfsg-8_armhf.deb ... 178s Unpacking blt (2.5.3+dfsg-8) ... 178s Selecting previously unselected package fonts-lyx. 178s Preparing to unpack .../18-fonts-lyx_2.4.3-1_all.deb ... 178s Unpacking 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Selecting previously unselected package libimagequant0:armhf. 179s Preparing to unpack .../24-libimagequant0_2.18.0-1build1_armhf.deb ... 179s Unpacking libimagequant0:armhf (2.18.0-1build1) ... 179s Selecting previously unselected package libjpeg-turbo8:armhf. 179s Preparing to unpack .../25-libjpeg-turbo8_2.1.5-3ubuntu2_armhf.deb ... 179s Unpacking libjpeg-turbo8:armhf (2.1.5-3ubuntu2) ... 179s Selecting previously unselected package libjpeg8:armhf. 179s Preparing to unpack .../26-libjpeg8_8c-2ubuntu11_armhf.deb ... 179s Unpacking libjpeg8:armhf (8c-2ubuntu11) ... 179s Selecting previously unselected package libjs-jquery. 179s Preparing to unpack .../27-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ... 179s Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 179s Selecting previously unselected package libjs-jquery-ui. 179s Preparing to unpack .../28-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ... 179s Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ... 179s Selecting previously unselected package 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libwebpmux3:armhf (1.5.0-0.1) ... 179s Selecting previously unselected package libxgboost0. 180s Preparing to unpack .../40-libxgboost0_2.1.4-1build1_armhf.deb ... 180s Unpacking libxgboost0 (2.1.4-1build1) ... 180s Selecting previously unselected package libxgboost-dev. 180s Preparing to unpack .../41-libxgboost-dev_2.1.4-1build1_armhf.deb ... 180s Unpacking libxgboost-dev (2.1.4-1build1) ... 180s Selecting previously unselected package libxslt1.1:armhf. 180s Preparing to unpack .../42-libxslt1.1_1.1.39-0exp1ubuntu4_armhf.deb ... 180s Unpacking libxslt1.1:armhf (1.1.39-0exp1ubuntu4) ... 180s Selecting previously unselected package python-matplotlib-data. 180s Preparing to unpack .../43-python-matplotlib-data_3.8.3-7build1_all.deb ... 180s Unpacking python-matplotlib-data (3.8.3-7build1) ... 180s Selecting previously unselected package python3-brotli. 180s Preparing to unpack .../44-python3-brotli_1.1.0-2build4_armhf.deb ... 180s Unpacking python3-brotli (1.1.0-2build4) ... 180s 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185s Setting up python3-unicodedata2 (15.1.0+ds-1build3) ... 185s Setting up fonts-lyx (2.4.3-1) ... 185s Setting up python3-threadpoolctl (3.1.0-1) ... 185s Setting up x11-common (1:7.7+23ubuntu4) ... 185s Setting up libdeflate0:armhf (1.23-1) ... 185s Setting up libqhull-r8.0:armhf (2020.2-6build1) ... 185s Setting up python3-pytz (2025.1-3) ... 185s Setting up libgomp1:armhf (15-20250404-0ubuntu1) ... 185s Setting up libjbig0:armhf (2.1-6.1ubuntu2) ... 185s Setting up python3-platformdirs (4.3.6-1) ... 186s Setting up python3-tz (2025.1-3) ... 186s Setting up python3-fs (2.4.16-7) ... 186s Setting up unicode-data (15.1.0-1) ... 186s Setting up python3-decorator (5.1.1-5) ... 186s Setting up libblas3:armhf (3.12.1-2) ... 186s update-alternatives: using /usr/lib/arm-linux-gnueabihf/blas/libblas.so.3 to provide /usr/lib/arm-linux-gnueabihf/libblas.so.3 (libblas.so.3-arm-linux-gnueabihf) in auto mode 186s Setting up libfreetype6:armhf (2.13.3+dfsg-1) ... 186s Setting up python3-brotli (1.1.0-2build4) ... 186s Setting up python3-cycler (0.12.1-1) ... 186s Setting up libimagequant0:armhf (2.18.0-1build1) ... 186s Setting up fonts-dejavu-mono (2.37-8) ... 186s Setting up python3-kiwisolver (1.4.7-3build1) ... 186s Setting up python3-numpy-dev:armhf (1:2.2.3+ds-5) ... 186s Setting up libtcl8.6:armhf (8.6.16+dfsg-1) ... 186s Setting up fonts-dejavu-core (2.37-8) ... 187s Setting up libjpeg-turbo8:armhf (2.1.5-3ubuntu2) ... 187s Setting up libgfortran5:armhf (15-20250404-0ubuntu1) ... 187s Setting up libwebp7:armhf (1.5.0-0.1) ... 187s Setting up libxslt1.1:armhf (1.1.39-0exp1ubuntu4) ... 187s Setting up libopenjp2-7:armhf (2.5.3-2) ... 187s Setting up libharfbuzz0b:armhf (10.2.0-1) ... 187s Setting up libxss1:armhf (1:1.2.3-1build3) ... 187s Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... 187s Setting up python3-mpmath (1.3.0-1) ... 187s Setting up python-matplotlib-data (3.8.3-7build1) ... 187s Setting up libwebpmux3:armhf (1.5.0-0.1) ... 187s Setting up libjpeg8:armhf (8c-2ubuntu11) ... 187s Setting up python3-sympy (1.13.3-5) ... 194s Setting up liblapack3:armhf (3.12.1-2) ... 194s update-alternatives: using /usr/lib/arm-linux-gnueabihf/lapack/liblapack.so.3 to provide /usr/lib/arm-linux-gnueabihf/liblapack.so.3 (liblapack.so.3-arm-linux-gnueabihf) in auto mode 194s Setting up libdmlc0t64:armhf (0.5+git20240614.1334185-1) ... 194s Setting up fontconfig-config (2.15.0-2.2ubuntu1) ... 195s Setting up libwebpdemux2:armhf (1.5.0-0.1) ... 195s Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... 195s Setting up libraqm0:armhf (0.10.2-1) ... 195s Setting up python3-numpy (1:2.2.3+ds-5) ... 197s Setting up python3-lxml:armhf (5.3.2-1) ... 197s Setting up libtiff6:armhf (4.5.1+git230720-4ubuntu4) ... 197s Setting up libxgboost0 (2.1.4-1build1) ... 197s Setting up python3-contourpy (1.3.1-1build1) ... 197s Setting up libfontconfig1:armhf (2.15.0-2.2ubuntu1) ... 197s Setting up liblbfgsb0:armhf (3.0+dfsg.4-1build1) ... 197s Setting up libxft2:armhf (2.3.6-1build1) ... 197s Setting up python3-scipy (1.14.1-4ubuntu2) ... 201s Setting up libtk8.6:armhf (8.6.16-1) ... 201s Setting up python3-pandas-lib:armhf (2.2.3+dfsg-8build1) ... 201s Setting up python3-sklearn-lib:armhf (1.4.2+dfsg-8) ... 201s Setting up python3.13-tk (3.13.3-1) ... 201s Setting up python3-pil:armhf (11.1.0-5build1) ... 201s Setting up python3-xgboost (2.1.4-1build1) ... 202s Setting up python3-pandas (2.2.3+dfsg-8build1) ... 207s Setting up libxgboost-dev (2.1.4-1build1) ... 207s Setting up python3-sklearn (1.4.2+dfsg-8) ... 210s Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... 210s Setting up blt (2.5.3+dfsg-8) ... 210s Setting up python3-tk:armhf (3.13.3-1) ... 210s Setting up python3-pil.imagetk:armhf (11.1.0-5build1) ... 210s Setting up python3-fonttools (4.55.3-2build1) ... 211s Setting up python3-ufolib2 (0.17.0+dfsg1-1) ... 211s Setting up python3-matplotlib (3.8.3-7build1) ... 213s Processing triggers for libc-bin (2.41-6ubuntu1) ... 213s Processing triggers for man-db (2.13.0-1) ... 225s autopkgtest [19:47:23]: test run-demos: [----------------------- 227s ========================================== 227s Running case basic_walkthrough.py... 228s [0] eval-logloss:0.22646 train-logloss:0.23316 228s [1] eval-logloss:0.13776 train-logloss:0.13654 228s error=0.021726 228s ========================================== 228s Running case boost_from_prediction.py... 229s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 229s warnings.warn(msg, FutureWarning) 229s start running example to start from a initial prediction 229s [0] eval-logloss:0.22646 train-logloss:0.23316 230s this is result of running from initial prediction 230s [0] eval-logloss:0.13776 train-logloss:0.13654 230s ========================================== 230s Running case callbacks.py... 232s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [19:47:30] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 232s warnings.warn(smsg, UserWarning) 232s [0] Train-error:0.03052 Train-rmse:0.35870 Valid-error:0.06993 Valid-rmse:0.37215 232s [1] Train-error:0.01174 Train-rmse:0.27804 Valid-error:0.04895 Valid-rmse:0.29761 232s [2] Train-error:0.01174 Train-rmse:0.21911 Valid-error:0.04895 Valid-rmse:0.25064 232s [3] Train-error:0.00939 Train-rmse:0.17913 Valid-error:0.02797 Valid-rmse:0.21447 232s [4] Train-error:0.00939 Train-rmse:0.14893 Valid-error:0.02797 Valid-rmse:0.19740 232s [5] Train-error:0.00939 Train-rmse:0.12816 Valid-error:0.03497 Valid-rmse:0.18098 232s [6] Train-error:0.00704 Train-rmse:0.11060 Valid-error:0.03497 Valid-rmse:0.17131 232s [7] Train-error:0.00704 Train-rmse:0.09947 Valid-error:0.03497 Valid-rmse:0.16077 232s [8] Train-error:0.00469 Train-rmse:0.08816 Valid-error:0.02797 Valid-rmse:0.14865 232s [9] Train-error:0.00469 Train-rmse:0.07863 Valid-error:0.03497 Valid-rmse:0.15073 232s [10] Train-error:0.00469 Train-rmse:0.07164 Valid-error:0.02098 Valid-rmse:0.14161 232s [11] Train-error:0.00469 Train-rmse:0.06692 Valid-error:0.01399 Valid-rmse:0.14028 233s [12] Train-error:0.00235 Train-rmse:0.06216 Valid-error:0.01399 Valid-rmse:0.13727 233s [13] Train-error:0.00235 Train-rmse:0.05811 Valid-error:0.01399 Valid-rmse:0.13495 233s [14] Train-error:0.00000 Train-rmse:0.05532 Valid-error:0.02098 Valid-rmse:0.13500 233s [15] Train-error:0.00000 Train-rmse:0.05178 Valid-error:0.02098 Valid-rmse:0.13226 233s [16] Train-error:0.00000 Train-rmse:0.04924 Valid-error:0.02098 Valid-rmse:0.13329 233s [17] Train-error:0.00000 Train-rmse:0.04656 Valid-error:0.01399 Valid-rmse:0.13183 233s [18] Train-error:0.00000 Train-rmse:0.04437 Valid-error:0.01399 Valid-rmse:0.13353 233s [19] Train-error:0.00000 Train-rmse:0.04272 Valid-error:0.02098 Valid-rmse:0.13468 233s [20] Train-error:0.00000 Train-rmse:0.04030 Valid-error:0.02098 Valid-rmse:0.13419 233s [21] Train-error:0.00000 Train-rmse:0.03869 Valid-error:0.02797 Valid-rmse:0.13543 233s [22] Train-error:0.00000 Train-rmse:0.03548 Valid-error:0.03497 Valid-rmse:0.13316 233s [23] Train-error:0.00000 Train-rmse:0.03444 Valid-error:0.03497 Valid-rmse:0.13637 233s [24] Train-error:0.00000 Train-rmse:0.03369 Valid-error:0.04196 Valid-rmse:0.13663 233s [25] Train-error:0.00000 Train-rmse:0.03213 Valid-error:0.03497 Valid-rmse:0.13386 233s [26] Train-error:0.00000 Train-rmse:0.03100 Valid-error:0.03497 Valid-rmse:0.13180 233s [27] Train-error:0.00000 Train-rmse:0.03036 Valid-error:0.03497 Valid-rmse:0.13263 233s [28] Train-error:0.00000 Train-rmse:0.02957 Valid-error:0.04196 Valid-rmse:0.13493 233s [29] Train-error:0.00000 Train-rmse:0.02866 Valid-error:0.03497 Valid-rmse:0.13487 233s [30] Train-error:0.00000 Train-rmse:0.02851 Valid-error:0.04196 Valid-rmse:0.13384 234s [31] Train-error:0.00000 Train-rmse:0.02721 Valid-error:0.02797 Valid-rmse:0.13117 234s [32] Train-error:0.00000 Train-rmse:0.02615 Valid-error:0.03497 Valid-rmse:0.13188 234s [33] Train-error:0.00000 Train-rmse:0.02559 Valid-error:0.03497 Valid-rmse:0.13096 234s [34] Train-error:0.00000 Train-rmse:0.02520 Valid-error:0.04196 Valid-rmse:0.13283 234s [35] Train-error:0.00000 Train-rmse:0.02438 Valid-error:0.03497 Valid-rmse:0.13220 234s [36] Train-error:0.00000 Train-rmse:0.02356 Valid-error:0.03497 Valid-rmse:0.13030 234s [37] Train-error:0.00000 Train-rmse:0.02348 Valid-error:0.03497 Valid-rmse:0.12942 234s [38] Train-error:0.00000 Train-rmse:0.02337 Valid-error:0.03497 Valid-rmse:0.12955 234s [39] Train-error:0.00000 Train-rmse:0.02265 Valid-error:0.02797 Valid-rmse:0.12785 234s [40] Train-error:0.00000 Train-rmse:0.02283 Valid-error:0.03497 Valid-rmse:0.12889 234s [41] Train-error:0.00000 Train-rmse:0.02255 Valid-error:0.03497 Valid-rmse:0.13066 234s [42] Train-error:0.00000 Train-rmse:0.02190 Valid-error:0.03497 Valid-rmse:0.12905 234s [43] Train-error:0.00000 Train-rmse:0.02173 Valid-error:0.03497 Valid-rmse:0.12833 234s [44] Train-error:0.00000 Train-rmse:0.02180 Valid-error:0.03497 Valid-rmse:0.12884 234s [45] Train-error:0.00000 Train-rmse:0.02153 Valid-error:0.03497 Valid-rmse:0.13050 234s [46] Train-error:0.00000 Train-rmse:0.02149 Valid-error:0.03497 Valid-rmse:0.12927 234s [47] Train-error:0.00000 Train-rmse:0.02134 Valid-error:0.02797 Valid-rmse:0.13012 234s [48] Train-error:0.00000 Train-rmse:0.02119 Valid-error:0.03497 Valid-rmse:0.12936 234s [49] Train-error:0.00000 Train-rmse:0.02124 Valid-error:0.02797 Valid-rmse:0.12989 234s [50] Train-error:0.00000 Train-rmse:0.02116 Valid-error:0.02797 Valid-rmse:0.13014 234s [51] Train-error:0.00000 Train-rmse:0.02107 Valid-error:0.02797 Valid-rmse:0.12953 235s [52] Train-error:0.00000 Train-rmse:0.02121 Valid-error:0.02797 Valid-rmse:0.12976 235s [53] Train-error:0.00000 Train-rmse:0.02080 Valid-error:0.02797 Valid-rmse:0.12903 235s [54] Train-error:0.00000 Train-rmse:0.02060 Valid-error:0.02797 Valid-rmse:0.13032 235s [55] Train-error:0.00000 Train-rmse:0.02069 Valid-error:0.02797 Valid-rmse:0.13027 235s [56] Train-error:0.00000 Train-rmse:0.02039 Valid-error:0.02797 Valid-rmse:0.12900 235s [57] Train-error:0.00000 Train-rmse:0.02031 Valid-error:0.02797 Valid-rmse:0.12845 235s [58] Train-error:0.00000 Train-rmse:0.02047 Valid-error:0.02797 Valid-rmse:0.12928 235s [59] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12865 235s [60] Train-error:0.00000 Train-rmse:0.02027 Valid-error:0.02797 Valid-rmse:0.12884 235s [61] Train-error:0.00000 Train-rmse:0.02023 Valid-error:0.02797 Valid-rmse:0.12917 235s [62] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12947 235s [63] Train-error:0.00000 Train-rmse:0.01986 Valid-error:0.02797 Valid-rmse:0.12827 235s [64] Train-error:0.00000 Train-rmse:0.01980 Valid-error:0.02797 Valid-rmse:0.12780 235s [65] Train-error:0.00000 Train-rmse:0.01971 Valid-error:0.02797 Valid-rmse:0.12888 235s [66] Train-error:0.00000 Train-rmse:0.01980 Valid-error:0.02797 Valid-rmse:0.12928 235s [67] Train-error:0.00000 Train-rmse:0.01977 Valid-error:0.02797 Valid-rmse:0.12962 235s [68] Train-error:0.00000 Train-rmse:0.01969 Valid-error:0.02797 Valid-rmse:0.12991 235s [69] Train-error:0.00000 Train-rmse:0.01940 Valid-error:0.02797 Valid-rmse:0.12920 235s [70] Train-error:0.00000 Train-rmse:0.01941 Valid-error:0.02797 Valid-rmse:0.12825 235s [71] Train-error:0.00000 Train-rmse:0.01936 Valid-error:0.02797 Valid-rmse:0.12785 235s [72] Train-error:0.00000 Train-rmse:0.01950 Valid-error:0.02797 Valid-rmse:0.12858 236s [73] Train-error:0.00000 Train-rmse:0.01921 Valid-error:0.02797 Valid-rmse:0.12791 236s [74] Train-error:0.00000 Train-rmse:0.01914 Valid-error:0.02797 Valid-rmse:0.12832 236s [75] Train-error:0.00000 Train-rmse:0.01912 Valid-error:0.02797 Valid-rmse:0.12821 236s [76] Train-error:0.00000 Train-rmse:0.01906 Valid-error:0.02797 Valid-rmse:0.12814 236s [77] Train-error:0.00000 Train-rmse:0.01897 Valid-error:0.02797 Valid-rmse:0.12845 236s [78] Train-error:0.00000 Train-rmse:0.01875 Valid-error:0.02797 Valid-rmse:0.12734 236s [79] Train-error:0.00000 Train-rmse:0.01873 Valid-error:0.02797 Valid-rmse:0.12765 236s [80] Train-error:0.00000 Train-rmse:0.01866 Valid-error:0.02797 Valid-rmse:0.12793 236s [81] Train-error:0.00000 Train-rmse:0.01869 Valid-error:0.02797 Valid-rmse:0.12708 236s [82] Train-error:0.00000 Train-rmse:0.01844 Valid-error:0.02797 Valid-rmse:0.12642 236s [83] Train-error:0.00000 Train-rmse:0.01857 Valid-error:0.02797 Valid-rmse:0.12709 236s [84] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12674 236s [85] Train-error:0.00000 Train-rmse:0.01862 Valid-error:0.02797 Valid-rmse:0.12712 236s [86] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12754 236s [87] Train-error:0.00000 Train-rmse:0.01829 Valid-error:0.02797 Valid-rmse:0.12693 236s [88] Train-error:0.00000 Train-rmse:0.01821 Valid-error:0.02797 Valid-rmse:0.12788 236s [89] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12782 236s [90] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12768 236s [91] Train-error:0.00000 Train-rmse:0.01809 Valid-error:0.02797 Valid-rmse:0.12797 236s [92] Train-error:0.00000 Train-rmse:0.01807 Valid-error:0.02797 Valid-rmse:0.12768 236s [93] Train-error:0.00000 Train-rmse:0.01798 Valid-error:0.02797 Valid-rmse:0.12858 237s [94] Train-error:0.00000 Train-rmse:0.01776 Valid-error:0.02797 Valid-rmse:0.12801 237s [95] Train-error:0.00000 Train-rmse:0.01786 Valid-error:0.02797 Valid-rmse:0.12804 237s [96] Train-error:0.00000 Train-rmse:0.01779 Valid-error:0.02797 Valid-rmse:0.12844 237s [97] Train-error:0.00000 Train-rmse:0.01778 Valid-error:0.02797 Valid-rmse:0.12875 237s [98] Train-error:0.00000 Train-rmse:0.01759 Valid-error:0.02797 Valid-rmse:0.12806 237s [99] Train-error:0.00000 Train-rmse:0.01771 Valid-error:0.02797 Valid-rmse:0.12865 237s ========================================== 237s Skip case cat_in_the_dat.py... 237s ========================================== 237s Running case cat_pipeline.py... 241s ========================================== 241s Running case categorical.py... 242s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [19:47:40] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 242s warnings.warn(smsg, UserWarning) 242s [0] validation_0-rmse:2.94171 242s [1] validation_0-rmse:2.40095 242s [2] validation_0-rmse:1.96121 242s [3] validation_0-rmse:1.61285 242s [4] validation_0-rmse:1.35854 242s [5] validation_0-rmse:1.12286 242s [6] validation_0-rmse:0.96789 242s [7] validation_0-rmse:0.79707 242s [8] validation_0-rmse:0.66201 242s [9] validation_0-rmse:0.55282 242s [10] validation_0-rmse:0.46038 242s [11] validation_0-rmse:0.38278 242s [12] validation_0-rmse:0.32840 242s [13] validation_0-rmse:0.27462 242s [14] validation_0-rmse:0.23398 242s [15] validation_0-rmse:0.19823 242s [16] validation_0-rmse:0.16984 243s [17] 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244s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [19:47:42] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 244s warnings.warn(smsg, UserWarning) 244s [0] validation_0-rmse:2.94171 244s [1] validation_0-rmse:2.40095 244s [2] validation_0-rmse:1.96121 244s [3] validation_0-rmse:1.61285 244s [4] validation_0-rmse:1.35854 244s [5] validation_0-rmse:1.12286 244s [6] validation_0-rmse:0.96789 244s [7] validation_0-rmse:0.79707 244s [8] validation_0-rmse:0.66201 244s [9] validation_0-rmse:0.55282 244s [10] validation_0-rmse:0.46038 244s [11] validation_0-rmse:0.38278 244s [12] validation_0-rmse:0.32840 244s [13] validation_0-rmse:0.27462 244s [14] validation_0-rmse:0.23398 244s [15] validation_0-rmse:0.19823 244s [16] validation_0-rmse:0.16984 244s [17] validation_0-rmse:0.14636 244s [18] validation_0-rmse:0.12447 244s [19] validation_0-rmse:0.10444 244s [20] validation_0-rmse:0.08984 244s [21] validation_0-rmse:0.07610 244s [22] 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[27] validation_0-logloss:0.00394 253s [28] validation_0-logloss:0.00393 253s [29] validation_0-logloss:0.00392 253s [30] validation_0-logloss:0.00391 253s [31] validation_0-logloss:0.00391 253s [32] validation_0-logloss:0.00390 253s [33] validation_0-logloss:0.00389 253s [34] validation_0-logloss:0.00388 253s [35] validation_0-logloss:0.00388 253s [36] validation_0-logloss:0.00387 253s [37] validation_0-logloss:0.00386 253s [38] validation_0-logloss:0.00385 253s [39] validation_0-logloss:0.00385 253s [40] validation_0-logloss:0.00384 253s [41] validation_0-logloss:0.00383 253s [42] validation_0-logloss:0.00383 253s [43] validation_0-logloss:0.00382 253s [44] validation_0-logloss:0.00381 253s [45] validation_0-logloss:0.00381 253s [46] validation_0-logloss:0.00380 253s [47] validation_0-logloss:0.00380 253s [48] validation_0-logloss:0.00379 253s [49] validation_0-logloss:0.00379 253s [50] validation_0-logloss:0.00378 253s [51] validation_0-logloss:0.00378 253s [52] validation_0-logloss:0.00377 253s [53] validation_0-logloss:0.00377 253s [54] validation_0-logloss:0.00376 253s [55] validation_0-logloss:0.00376 253s [56] validation_0-logloss:0.00375 253s [57] validation_0-logloss:0.00375 253s [58] validation_0-logloss:0.00374 253s [59] validation_0-logloss:0.00374 253s [60] validation_0-logloss:0.00373 253s [61] validation_0-logloss:0.00373 253s [62] validation_0-logloss:0.00373 253s [63] validation_0-logloss:0.00372 253s [64] validation_0-logloss:0.00372 253s [65] validation_0-logloss:0.00372 253s [66] validation_0-logloss:0.00371 253s [67] validation_0-logloss:0.00371 253s [68] validation_0-logloss:0.00371 253s [69] validation_0-logloss:0.00371 253s [70] validation_0-logloss:0.00371 253s Total boosted rounds: 195 253s [0] validation_0-logloss:0.43281 253s [1] validation_0-logloss:0.30816 253s [2] validation_0-logloss:0.22816 253s [3] validation_0-logloss:0.17470 253s [4] validation_0-logloss:0.13438 253s [5] validation_0-logloss:0.10538 253s [6] 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validation_0-logloss:0.00500 255s [83] validation_0-logloss:0.00498 255s [84] validation_0-logloss:0.00496 255s [85] validation_0-logloss:0.00493 255s [86] validation_0-logloss:0.00491 255s [87] validation_0-logloss:0.00489 255s [88] validation_0-logloss:0.00486 255s [89] validation_0-logloss:0.00484 255s [90] validation_0-logloss:0.00482 255s [91] validation_0-logloss:0.00480 255s [92] validation_0-logloss:0.00478 255s [93] validation_0-logloss:0.00476 255s [94] validation_0-logloss:0.00474 255s [95] validation_0-logloss:0.00472 255s [96] validation_0-logloss:0.00470 255s [97] validation_0-logloss:0.00468 255s [98] validation_0-logloss:0.00466 255s [99] validation_0-logloss:0.00464 255s [100] validation_0-logloss:0.00463 255s [101] validation_0-logloss:0.00461 255s [102] validation_0-logloss:0.00459 255s [103] validation_0-logloss:0.00457 255s [104] validation_0-logloss:0.00456 255s [105] validation_0-logloss:0.00454 255s [106] validation_0-logloss:0.00452 255s [107] validation_0-logloss:0.00451 255s [108] validation_0-logloss:0.00449 255s [109] validation_0-logloss:0.00448 255s [110] validation_0-logloss:0.00446 255s [111] validation_0-logloss:0.00444 255s [112] validation_0-logloss:0.00443 255s [113] validation_0-logloss:0.00441 255s [114] validation_0-logloss:0.00440 255s [115] validation_0-logloss:0.00438 255s [116] validation_0-logloss:0.00437 255s [117] validation_0-logloss:0.00435 255s [118] validation_0-logloss:0.00434 255s [119] validation_0-logloss:0.00433 255s [120] validation_0-logloss:0.00431 255s [121] validation_0-logloss:0.00430 255s [122] validation_0-logloss:0.00429 255s [123] validation_0-logloss:0.00427 255s [124] validation_0-logloss:0.00426 255s [125] validation_0-logloss:0.00425 255s [126] validation_0-logloss:0.00423 255s [127] validation_0-logloss:0.00422 255s [128] validation_0-logloss:0.00421 255s [129] validation_0-logloss:0.00420 255s [130] validation_0-logloss:0.00419 255s [131] validation_0-logloss:0.00417 255s [132] validation_0-logloss:0.00416 255s [133] validation_0-logloss:0.00415 255s [134] validation_0-logloss:0.00414 255s [135] validation_0-logloss:0.00413 255s [136] validation_0-logloss:0.00412 255s [137] validation_0-logloss:0.00411 255s [138] validation_0-logloss:0.00410 255s [139] validation_0-logloss:0.00409 255s [140] validation_0-logloss:0.00408 255s [141] validation_0-logloss:0.00407 255s [142] validation_0-logloss:0.00406 255s [143] validation_0-logloss:0.00405 255s [144] validation_0-logloss:0.00404 255s [145] validation_0-logloss:0.00403 255s [146] validation_0-logloss:0.00402 255s [147] validation_0-logloss:0.00401 255s [148] validation_0-logloss:0.00400 255s [149] validation_0-logloss:0.00399 255s [150] validation_0-logloss:0.00398 255s [151] validation_0-logloss:0.00397 255s [152] validation_0-logloss:0.00396 255s [153] validation_0-logloss:0.00396 255s [154] validation_0-logloss:0.00395 255s [155] validation_0-logloss:0.00394 255s [156] validation_0-logloss:0.00393 255s [157] validation_0-logloss:0.00392 255s [158] validation_0-logloss:0.00391 255s [159] validation_0-logloss:0.00391 255s [160] validation_0-logloss:0.00390 255s [161] validation_0-logloss:0.00389 255s [162] validation_0-logloss:0.00388 255s [163] validation_0-logloss:0.00388 255s [164] validation_0-logloss:0.00387 255s [165] validation_0-logloss:0.00386 255s [166] validation_0-logloss:0.00385 255s [167] validation_0-logloss:0.00385 255s [168] validation_0-logloss:0.00384 255s [169] validation_0-logloss:0.00383 255s [170] validation_0-logloss:0.00383 256s [171] validation_0-logloss:0.00382 256s [172] validation_0-logloss:0.00381 256s [173] validation_0-logloss:0.00381 256s [174] validation_0-logloss:0.00380 256s [175] validation_0-logloss:0.00380 256s [176] validation_0-logloss:0.00379 256s [177] validation_0-logloss:0.00379 256s [178] validation_0-logloss:0.00378 256s [179] validation_0-logloss:0.00378 256s [180] validation_0-logloss:0.00377 256s [181] validation_0-logloss:0.00377 256s [182] validation_0-logloss:0.00376 256s [183] validation_0-logloss:0.00376 256s [184] validation_0-logloss:0.00375 256s [185] validation_0-logloss:0.00375 256s [186] validation_0-logloss:0.00374 256s [187] validation_0-logloss:0.00374 256s [188] validation_0-logloss:0.00373 256s [189] validation_0-logloss:0.00373 256s [190] validation_0-logloss:0.00373 256s [191] validation_0-logloss:0.00372 256s [192] validation_0-logloss:0.00372 256s [193] validation_0-logloss:0.00372 256s [194] validation_0-logloss:0.00371 256s [195] validation_0-logloss:0.00371 256s [196] validation_0-logloss:0.00371 256s [197] validation_0-logloss:0.00371 256s [198] validation_0-logloss:0.00371 256s Total boosted rounds: 195 256s [0] validation_0-logloss:0.43281 256s [1] validation_0-logloss:0.30816 256s [2] validation_0-logloss:0.22816 256s [3] validation_0-logloss:0.17470 256s [4] validation_0-logloss:0.13438 256s [5] validation_0-logloss:0.10538 256s [6] validation_0-logloss:0.08467 256s [7] validation_0-logloss:0.06909 256s [8] validation_0-logloss:0.05766 256s [9] validation_0-logloss:0.04842 256s [10] validation_0-logloss:0.04121 256s [11] validation_0-logloss:0.03545 256s [12] validation_0-logloss:0.03077 256s [13] validation_0-logloss:0.02742 256s [14] validation_0-logloss:0.02444 256s [15] validation_0-logloss:0.02208 256s [16] validation_0-logloss:0.01993 256s [17] validation_0-logloss:0.01819 256s [18] validation_0-logloss:0.01676 256s [19] validation_0-logloss:0.01575 256s [20] validation_0-logloss:0.01461 256s [21] validation_0-logloss:0.01383 256s [22] validation_0-logloss:0.01304 256s [23] validation_0-logloss:0.01243 256s [24] validation_0-logloss:0.01179 256s [25] validation_0-logloss:0.01142 256s [26] validation_0-logloss:0.01103 256s [27] validation_0-logloss:0.01066 256s [28] validation_0-logloss:0.01037 256s [29] validation_0-logloss:0.00993 256s [30] validation_0-logloss:0.00966 256s [31] validation_0-logloss:0.00920 256s [32] validation_0-logloss:0.00900 256s [33] validation_0-logloss:0.00876 256s [34] validation_0-logloss:0.00852 256s [35] validation_0-logloss:0.00835 256s [36] validation_0-logloss:0.00810 256s [37] validation_0-logloss:0.00791 256s [38] validation_0-logloss:0.00764 256s [39] validation_0-logloss:0.00753 256s [40] validation_0-logloss:0.00739 256s [41] validation_0-logloss:0.00723 256s [42] validation_0-logloss:0.00706 256s [43] validation_0-logloss:0.00695 256s [44] validation_0-logloss:0.00688 256s [45] validation_0-logloss:0.00671 257s [46] validation_0-logloss:0.00662 257s [47] validation_0-logloss:0.00650 257s [48] validation_0-logloss:0.00637 257s [49] validation_0-logloss:0.00628 257s [50] validation_0-logloss:0.00623 257s [51] validation_0-logloss:0.00618 257s [52] validation_0-logloss:0.00614 257s [53] validation_0-logloss:0.00609 257s [54] validation_0-logloss:0.00600 257s [55] validation_0-logloss:0.00590 257s [56] validation_0-logloss:0.00582 257s [57] validation_0-logloss:0.00578 257s [58] validation_0-logloss:0.00570 257s [59] validation_0-logloss:0.00566 257s [60] validation_0-logloss:0.00563 257s [61] validation_0-logloss:0.00559 257s [62] validation_0-logloss:0.00556 257s [63] validation_0-logloss:0.00553 257s [64] validation_0-logloss:0.00549 257s [65] validation_0-logloss:0.00546 257s [66] validation_0-logloss:0.00543 257s [67] validation_0-logloss:0.00540 257s [68] validation_0-logloss:0.00537 257s [69] validation_0-logloss:0.00534 257s [70] validation_0-logloss:0.00531 257s [71] validation_0-logloss:0.00528 257s [72] validation_0-logloss:0.00525 257s [73] validation_0-logloss:0.00523 257s [74] validation_0-logloss:0.00520 257s [75] validation_0-logloss:0.00517 257s [76] validation_0-logloss:0.00515 257s [77] validation_0-logloss:0.00512 257s [78] validation_0-logloss:0.00510 257s [79] validation_0-logloss:0.00507 257s [80] validation_0-logloss:0.00505 257s [81] validation_0-logloss:0.00502 257s [82] validation_0-logloss:0.00500 257s [83] validation_0-logloss:0.00498 257s [84] validation_0-logloss:0.00496 257s [85] validation_0-logloss:0.00493 257s [86] validation_0-logloss:0.00491 257s [87] validation_0-logloss:0.00489 257s [88] validation_0-logloss:0.00486 257s [89] validation_0-logloss:0.00484 257s [90] validation_0-logloss:0.00482 257s [91] validation_0-logloss:0.00480 257s [92] validation_0-logloss:0.00478 257s [93] validation_0-logloss:0.00476 257s [94] validation_0-logloss:0.00474 257s [95] validation_0-logloss:0.00472 257s [96] validation_0-logloss:0.00470 257s [97] validation_0-logloss:0.00468 257s [98] validation_0-logloss:0.00466 257s [99] validation_0-logloss:0.00464 257s [100] validation_0-logloss:0.00463 257s [101] validation_0-logloss:0.00461 257s [102] validation_0-logloss:0.00459 257s [103] validation_0-logloss:0.00457 257s [104] validation_0-logloss:0.00456 257s [105] validation_0-logloss:0.00454 257s [106] validation_0-logloss:0.00452 257s [107] validation_0-logloss:0.00451 257s [108] validation_0-logloss:0.00449 257s [109] validation_0-logloss:0.00448 257s [110] validation_0-logloss:0.00446 257s [111] validation_0-logloss:0.00444 257s [112] validation_0-logloss:0.00443 257s [113] validation_0-logloss:0.00441 257s [114] validation_0-logloss:0.00440 257s [115] validation_0-logloss:0.00438 257s [116] validation_0-logloss:0.00437 257s [117] validation_0-logloss:0.00435 257s [118] validation_0-logloss:0.00434 257s [119] validation_0-logloss:0.00433 257s [120] validation_0-logloss:0.00431 257s [121] validation_0-logloss:0.00430 257s [122] validation_0-logloss:0.00429 257s [123] validation_0-logloss:0.00427 257s [124] validation_0-logloss:0.00426 257s [125] validation_0-logloss:0.00425 257s [126] validation_0-logloss:0.00423 257s [127] validation_0-logloss:0.00422 257s [0] validation_0-logloss:0.00421 257s [1] validation_0-logloss:0.00420 257s [2] validation_0-logloss:0.00419 257s [3] validation_0-logloss:0.00417 257s [4] validation_0-logloss:0.00416 257s [5] validation_0-logloss:0.00415 257s [6] validation_0-logloss:0.00414 257s [7] validation_0-logloss:0.00413 257s [8] validation_0-logloss:0.00412 257s [9] validation_0-logloss:0.00411 257s [10] validation_0-logloss:0.00410 257s [11] validation_0-logloss:0.00409 257s [12] validation_0-logloss:0.00408 257s [13] validation_0-logloss:0.00407 257s [14] validation_0-logloss:0.00406 257s [15] validation_0-logloss:0.00405 257s [16] validation_0-logloss:0.00404 257s [17] validation_0-logloss:0.00403 257s [18] validation_0-logloss:0.00402 257s [19] validation_0-logloss:0.00401 257s [20] validation_0-logloss:0.00400 257s [21] validation_0-logloss:0.00399 257s [22] validation_0-logloss:0.00398 257s [23] validation_0-logloss:0.00397 258s [24] validation_0-logloss:0.00396 258s [25] validation_0-logloss:0.00396 258s [26] validation_0-logloss:0.00395 258s [27] validation_0-logloss:0.00394 258s [28] validation_0-logloss:0.00393 258s [29] validation_0-logloss:0.00392 258s [30] validation_0-logloss:0.00391 258s [31] validation_0-logloss:0.00391 258s [32] validation_0-logloss:0.00390 258s [33] validation_0-logloss:0.00389 258s [34] validation_0-logloss:0.00388 258s [35] validation_0-logloss:0.00388 258s [36] validation_0-logloss:0.00387 258s [37] validation_0-logloss:0.00386 258s [38] validation_0-logloss:0.00385 258s [39] validation_0-logloss:0.00385 258s [40] validation_0-logloss:0.00384 258s [41] validation_0-logloss:0.00383 258s [42] validation_0-logloss:0.00383 258s [43] validation_0-logloss:0.00382 258s [44] validation_0-logloss:0.00381 258s [45] validation_0-logloss:0.00381 258s [46] validation_0-logloss:0.00380 258s [47] validation_0-logloss:0.00380 258s [48] validation_0-logloss:0.00379 258s [49] validation_0-logloss:0.00379 258s [50] validation_0-logloss:0.00378 258s [51] validation_0-logloss:0.00378 258s [52] validation_0-logloss:0.00377 258s [53] validation_0-logloss:0.00377 258s [54] validation_0-logloss:0.00376 258s [55] validation_0-logloss:0.00376 258s [56] validation_0-logloss:0.00375 258s [57] validation_0-logloss:0.00375 258s [58] validation_0-logloss:0.00374 258s [59] validation_0-logloss:0.00374 258s [60] validation_0-logloss:0.00373 258s [61] validation_0-logloss:0.00373 258s [62] validation_0-logloss:0.00373 258s [63] validation_0-logloss:0.00372 258s [64] validation_0-logloss:0.00372 258s [65] validation_0-logloss:0.00372 258s [66] validation_0-logloss:0.00371 258s [67] validation_0-logloss:0.00371 258s [68] validation_0-logloss:0.00371 258s [69] validation_0-logloss:0.00371 258s [70] validation_0-logloss:0.00371 258s Total boosted rounds: 195 258s [0] validation_0-logloss:0.43281 258s [1] validation_0-logloss:0.30816 258s [2] validation_0-logloss:0.22816 258s [3] validation_0-logloss:0.17470 258s [4] validation_0-logloss:0.13438 258s [5] validation_0-logloss:0.10538 258s [6] validation_0-logloss:0.08467 258s [7] validation_0-logloss:0.06909 258s [8] validation_0-logloss:0.05766 258s [9] validation_0-logloss:0.04842 258s [10] validation_0-logloss:0.04121 258s [11] validation_0-logloss:0.03545 258s [12] validation_0-logloss:0.03077 258s [13] validation_0-logloss:0.02742 258s [14] validation_0-logloss:0.02444 258s [15] validation_0-logloss:0.02208 258s [16] validation_0-logloss:0.01993 258s [17] validation_0-logloss:0.01819 258s [18] validation_0-logloss:0.01676 258s [19] validation_0-logloss:0.01575 258s [20] validation_0-logloss:0.01461 258s [21] validation_0-logloss:0.01383 258s [22] validation_0-logloss:0.01304 258s [23] validation_0-logloss:0.01243 258s [24] validation_0-logloss:0.01179 258s [25] validation_0-logloss:0.01142 258s [26] validation_0-logloss:0.01103 258s [27] validation_0-logloss:0.01066 258s [28] validation_0-logloss:0.01037 258s [29] validation_0-logloss:0.00993 258s [30] validation_0-logloss:0.00966 258s [31] validation_0-logloss:0.00920 259s [32] validation_0-logloss:0.00900 259s [33] validation_0-logloss:0.00876 259s [34] validation_0-logloss:0.00852 259s [35] validation_0-logloss:0.00835 259s [36] validation_0-logloss:0.00810 259s [37] validation_0-logloss:0.00791 259s [38] validation_0-logloss:0.00764 259s [39] validation_0-logloss:0.00753 259s [40] validation_0-logloss:0.00739 259s [41] validation_0-logloss:0.00723 259s [42] validation_0-logloss:0.00706 259s [43] validation_0-logloss:0.00695 259s [44] validation_0-logloss:0.00688 259s [45] validation_0-logloss:0.00671 259s [46] validation_0-logloss:0.00662 259s [47] validation_0-logloss:0.00650 259s [48] validation_0-logloss:0.00637 259s [49] validation_0-logloss:0.00628 259s [50] validation_0-logloss:0.00623 259s [51] validation_0-logloss:0.00618 259s [52] validation_0-logloss:0.00614 259s [53] validation_0-logloss:0.00609 259s [54] validation_0-logloss:0.00600 259s [55] validation_0-logloss:0.00590 259s [56] validation_0-logloss:0.00582 259s [57] validation_0-logloss:0.00578 259s [58] validation_0-logloss:0.00570 259s [59] validation_0-logloss:0.00566 259s [60] validation_0-logloss:0.00563 259s [61] validation_0-logloss:0.00559 259s [62] validation_0-logloss:0.00556 259s [63] validation_0-logloss:0.00553 259s [64] validation_0-logloss:0.00549 259s [65] validation_0-logloss:0.00546 259s [66] validation_0-logloss:0.00543 259s [67] validation_0-logloss:0.00540 259s [68] validation_0-logloss:0.00537 259s [69] validation_0-logloss:0.00534 259s [70] validation_0-logloss:0.00531 259s [71] validation_0-logloss:0.00528 259s [72] validation_0-logloss:0.00525 259s [73] validation_0-logloss:0.00523 259s [74] validation_0-logloss:0.00520 259s [75] validation_0-logloss:0.00517 259s [76] validation_0-logloss:0.00515 259s [77] validation_0-logloss:0.00512 259s [78] validation_0-logloss:0.00510 259s [79] validation_0-logloss:0.00507 259s [80] validation_0-logloss:0.00505 259s [81] validation_0-logloss:0.00502 259s [82] validation_0-logloss:0.00500 259s [83] validation_0-logloss:0.00498 259s [84] validation_0-logloss:0.00496 259s [85] validation_0-logloss:0.00493 259s [86] validation_0-logloss:0.00491 259s [87] validation_0-logloss:0.00489 259s [88] validation_0-logloss:0.00486 259s [89] validation_0-logloss:0.00484 259s [90] validation_0-logloss:0.00482 259s [91] validation_0-logloss:0.00480 259s [92] validation_0-logloss:0.00478 259s [93] validation_0-logloss:0.00476 259s [94] validation_0-logloss:0.00474 259s [95] validation_0-logloss:0.00472 259s [96] validation_0-logloss:0.00470 259s [97] validation_0-logloss:0.00468 259s [98] validation_0-logloss:0.00466 259s [99] validation_0-logloss:0.00464 259s [100] validation_0-logloss:0.00463 259s [101] validation_0-logloss:0.00461 259s [102] validation_0-logloss:0.00459 259s [103] validation_0-logloss:0.00457 259s [104] validation_0-logloss:0.00456 259s [105] validation_0-logloss:0.00454 259s [106] validation_0-logloss:0.00452 259s [107] validation_0-logloss:0.00451 259s [108] validation_0-logloss:0.00449 259s [109] validation_0-logloss:0.00448 259s [110] validation_0-logloss:0.00446 259s [111] validation_0-logloss:0.00444 259s [112] validation_0-logloss:0.00443 259s [113] validation_0-logloss:0.00441 259s [114] validation_0-logloss:0.00440 259s [115] validation_0-logloss:0.00438 259s [116] validation_0-logloss:0.00437 259s [117] validation_0-logloss:0.00435 259s [118] validation_0-logloss:0.00434 259s [119] validation_0-logloss:0.00433 259s [120] validation_0-logloss:0.00431 259s [121] validation_0-logloss:0.00430 259s [122] validation_0-logloss:0.00429 259s [123] validation_0-logloss:0.00427 259s [124] validation_0-logloss:0.00426 259s [125] validation_0-logloss:0.00425 259s [126] validation_0-logloss:0.00423 259s [127] validation_0-logloss:0.00422 259s Total boosted rounds: 128 259s [0] validation_0-logloss:0.43281 259s [1] validation_0-logloss:0.30816 260s [2] validation_0-logloss:0.22816 260s [3] validation_0-logloss:0.17470 260s [4] validation_0-logloss:0.13438 260s [5] validation_0-logloss:0.10538 260s [6] validation_0-logloss:0.08467 260s [7] validation_0-logloss:0.06909 260s [8] validation_0-logloss:0.05766 260s [9] validation_0-logloss:0.04842 260s [10] validation_0-logloss:0.04121 260s [11] validation_0-logloss:0.03545 260s [12] validation_0-logloss:0.03077 260s [13] validation_0-logloss:0.02742 260s [14] validation_0-logloss:0.02444 260s [15] validation_0-logloss:0.02208 260s [16] validation_0-logloss:0.01993 260s [17] validation_0-logloss:0.01819 260s [18] validation_0-logloss:0.01676 260s [19] validation_0-logloss:0.01575 260s [20] validation_0-logloss:0.01461 260s [21] validation_0-logloss:0.01383 260s [22] validation_0-logloss:0.01304 260s [23] validation_0-logloss:0.01243 260s [24] validation_0-logloss:0.01179 260s [25] validation_0-logloss:0.01142 260s [26] validation_0-logloss:0.01103 260s [27] validation_0-logloss:0.01066 260s [28] validation_0-logloss:0.01037 260s [29] validation_0-logloss:0.00993 260s [30] validation_0-logloss:0.00966 260s [31] validation_0-logloss:0.00920 260s [0] validation_0-logloss:0.00900 260s [1] validation_0-logloss:0.00876 260s [2] validation_0-logloss:0.00852 260s [3] validation_0-logloss:0.00835 260s [4] validation_0-logloss:0.00810 260s [5] validation_0-logloss:0.00791 260s [6] validation_0-logloss:0.00764 260s [7] validation_0-logloss:0.00753 260s [8] validation_0-logloss:0.00739 260s [9] validation_0-logloss:0.00723 260s [10] validation_0-logloss:0.00706 260s [11] validation_0-logloss:0.00695 260s [12] validation_0-logloss:0.00688 260s [13] validation_0-logloss:0.00671 260s [14] validation_0-logloss:0.00662 260s [15] validation_0-logloss:0.00650 260s [16] validation_0-logloss:0.00637 260s [17] validation_0-logloss:0.00628 260s [18] validation_0-logloss:0.00623 260s [19] validation_0-logloss:0.00618 260s [20] validation_0-logloss:0.00614 260s [21] validation_0-logloss:0.00609 260s [22] validation_0-logloss:0.00600 260s [23] validation_0-logloss:0.00590 260s [24] validation_0-logloss:0.00582 260s [25] validation_0-logloss:0.00578 260s [26] validation_0-logloss:0.00570 260s [27] validation_0-logloss:0.00566 260s [28] validation_0-logloss:0.00563 260s [29] validation_0-logloss:0.00559 260s [30] validation_0-logloss:0.00556 260s [31] validation_0-logloss:0.00553 260s [32] validation_0-logloss:0.00549 260s [33] validation_0-logloss:0.00546 260s [34] validation_0-logloss:0.00543 260s [35] validation_0-logloss:0.00540 260s [36] validation_0-logloss:0.00537 260s [37] validation_0-logloss:0.00534 260s [38] validation_0-logloss:0.00531 260s [39] validation_0-logloss:0.00528 260s [40] validation_0-logloss:0.00525 260s [41] validation_0-logloss:0.00523 261s [42] validation_0-logloss:0.00520 261s [43] validation_0-logloss:0.00517 261s [44] validation_0-logloss:0.00515 261s [45] validation_0-logloss:0.00512 261s [46] validation_0-logloss:0.00510 261s [47] validation_0-logloss:0.00507 261s [48] validation_0-logloss:0.00505 261s [49] validation_0-logloss:0.00502 261s [50] validation_0-logloss:0.00500 261s [51] validation_0-logloss:0.00498 261s [52] validation_0-logloss:0.00496 261s [53] validation_0-logloss:0.00493 261s [54] validation_0-logloss:0.00491 261s [55] validation_0-logloss:0.00489 261s [56] validation_0-logloss:0.00486 261s [57] validation_0-logloss:0.00484 261s [58] validation_0-logloss:0.00482 261s [59] validation_0-logloss:0.00480 261s [60] validation_0-logloss:0.00478 261s [61] validation_0-logloss:0.00476 261s [62] validation_0-logloss:0.00474 261s [63] validation_0-logloss:0.00472 261s [64] validation_0-logloss:0.00470 261s [65] validation_0-logloss:0.00468 261s [66] validation_0-logloss:0.00466 261s [67] validation_0-logloss:0.00464 261s [68] validation_0-logloss:0.00463 261s [69] validation_0-logloss:0.00461 261s [70] validation_0-logloss:0.00459 261s [71] validation_0-logloss:0.00457 261s [72] validation_0-logloss:0.00456 261s [73] validation_0-logloss:0.00454 261s [74] validation_0-logloss:0.00452 261s [75] validation_0-logloss:0.00451 261s [76] validation_0-logloss:0.00449 261s [77] validation_0-logloss:0.00448 261s [78] validation_0-logloss:0.00446 261s [79] validation_0-logloss:0.00444 261s [80] validation_0-logloss:0.00443 261s [81] validation_0-logloss:0.00441 261s [82] validation_0-logloss:0.00440 261s [83] validation_0-logloss:0.00438 261s [84] validation_0-logloss:0.00437 261s [85] validation_0-logloss:0.00435 261s [86] validation_0-logloss:0.00434 261s [87] validation_0-logloss:0.00433 261s [88] validation_0-logloss:0.00431 261s [89] validation_0-logloss:0.00430 261s [90] validation_0-logloss:0.00429 261s [91] validation_0-logloss:0.00427 261s [92] validation_0-logloss:0.00426 261s [93] validation_0-logloss:0.00425 261s [94] validation_0-logloss:0.00423 261s [95] validation_0-logloss:0.00422 261s Total boosted rounds: 128 261s [0] validation_0-logloss:0.43281 261s [1] validation_0-logloss:0.30816 261s [2] validation_0-logloss:0.22816 261s [3] validation_0-logloss:0.17470 261s [4] validation_0-logloss:0.13438 261s [5] validation_0-logloss:0.10538 261s [6] validation_0-logloss:0.08467 261s [7] validation_0-logloss:0.06909 261s [8] validation_0-logloss:0.05766 261s [9] validation_0-logloss:0.04842 261s [10] validation_0-logloss:0.04121 261s [11] validation_0-logloss:0.03545 261s [12] validation_0-logloss:0.03077 261s [13] validation_0-logloss:0.02742 261s [14] validation_0-logloss:0.02444 261s [15] validation_0-logloss:0.02208 262s [16] validation_0-logloss:0.01993 262s [17] validation_0-logloss:0.01819 262s [18] validation_0-logloss:0.01676 262s [19] validation_0-logloss:0.01575 262s [20] validation_0-logloss:0.01461 262s [21] validation_0-logloss:0.01383 262s [22] validation_0-logloss:0.01304 262s [23] validation_0-logloss:0.01243 262s [24] validation_0-logloss:0.01179 262s [25] validation_0-logloss:0.01142 262s [26] validation_0-logloss:0.01103 262s [27] validation_0-logloss:0.01066 262s [28] validation_0-logloss:0.01037 262s [29] validation_0-logloss:0.00993 262s [30] validation_0-logloss:0.00966 262s [31] validation_0-logloss:0.00920 262s [32] validation_0-logloss:0.00900 262s [33] validation_0-logloss:0.00876 262s [34] validation_0-logloss:0.00852 262s [35] validation_0-logloss:0.00835 262s [36] validation_0-logloss:0.00810 262s [37] validation_0-logloss:0.00791 262s [38] validation_0-logloss:0.00764 262s [39] validation_0-logloss:0.00753 262s [40] validation_0-logloss:0.00739 262s [41] validation_0-logloss:0.00723 262s [42] validation_0-logloss:0.00706 262s [43] validation_0-logloss:0.00695 262s [44] validation_0-logloss:0.00688 262s [45] validation_0-logloss:0.00671 262s [46] validation_0-logloss:0.00662 262s [47] validation_0-logloss:0.00650 262s [48] validation_0-logloss:0.00637 262s [49] validation_0-logloss:0.00628 262s [50] validation_0-logloss:0.00623 262s [51] validation_0-logloss:0.00618 262s [52] validation_0-logloss:0.00614 262s [53] validation_0-logloss:0.00609 262s [54] validation_0-logloss:0.00600 262s [55] validation_0-logloss:0.00590 262s [56] validation_0-logloss:0.00582 262s [57] validation_0-logloss:0.00578 262s [58] validation_0-logloss:0.00570 262s [59] validation_0-logloss:0.00566 262s [60] validation_0-logloss:0.00563 262s [61] validation_0-logloss:0.00559 262s [62] validation_0-logloss:0.00556 262s [63] validation_0-logloss:0.00553 262s [64] validation_0-logloss:0.00549 262s [65] validation_0-logloss:0.00546 262s [66] validation_0-logloss:0.00543 262s [67] validation_0-logloss:0.00540 262s [68] validation_0-logloss:0.00537 262s [69] validation_0-logloss:0.00534 262s [70] validation_0-logloss:0.00531 262s [71] validation_0-logloss:0.00528 262s [72] validation_0-logloss:0.00525 262s [73] validation_0-logloss:0.00523 262s [74] validation_0-logloss:0.00520 262s [75] validation_0-logloss:0.00517 262s [76] validation_0-logloss:0.00515 262s [77] validation_0-logloss:0.00512 262s [78] validation_0-logloss:0.00510 262s [79] validation_0-logloss:0.00507 262s [80] validation_0-logloss:0.00505 262s [81] validation_0-logloss:0.00502 262s [82] validation_0-logloss:0.00500 262s [83] validation_0-logloss:0.00498 262s [84] validation_0-logloss:0.00496 262s [85] validation_0-logloss:0.00493 262s [86] validation_0-logloss:0.00491 262s [87] validation_0-logloss:0.00489 262s [88] validation_0-logloss:0.00486 262s [89] validation_0-logloss:0.00484 262s [90] validation_0-logloss:0.00482 262s [91] validation_0-logloss:0.00480 262s [92] validation_0-logloss:0.00478 262s [93] validation_0-logloss:0.00476 262s [94] validation_0-logloss:0.00474 262s [95] validation_0-logloss:0.00472 262s [96] validation_0-logloss:0.00470 262s [97] validation_0-logloss:0.00468 262s [98] validation_0-logloss:0.00466 262s [99] validation_0-logloss:0.00464 262s [100] validation_0-logloss:0.00463 262s [101] validation_0-logloss:0.00461 262s [102] validation_0-logloss:0.00459 262s [103] validation_0-logloss:0.00457 262s [104] validation_0-logloss:0.00456 262s [105] validation_0-logloss:0.00454 263s [106] validation_0-logloss:0.00452 263s [107] validation_0-logloss:0.00451 263s [108] validation_0-logloss:0.00449 263s [109] validation_0-logloss:0.00448 263s [110] validation_0-logloss:0.00446 263s [111] validation_0-logloss:0.00444 263s [112] validation_0-logloss:0.00443 263s [113] validation_0-logloss:0.00441 263s [114] validation_0-logloss:0.00440 263s [115] validation_0-logloss:0.00438 263s [116] validation_0-logloss:0.00437 263s [117] validation_0-logloss:0.00435 263s [118] validation_0-logloss:0.00434 263s [119] validation_0-logloss:0.00433 263s [120] validation_0-logloss:0.00431 263s [121] validation_0-logloss:0.00430 263s [122] validation_0-logloss:0.00429 263s [123] validation_0-logloss:0.00427 263s [124] validation_0-logloss:0.00426 263s [125] validation_0-logloss:0.00425 263s [126] validation_0-logloss:0.00423 263s [127] validation_0-logloss:0.00422 263s Total boosted rounds: 128 263s [0] validation_0-logloss:0.43281 263s [1] validation_0-logloss:0.30816 263s [2] validation_0-logloss:0.22816 263s [3] validation_0-logloss:0.17470 263s [4] validation_0-logloss:0.13438 263s [5] validation_0-logloss:0.10538 263s [6] validation_0-logloss:0.08467 263s [7] validation_0-logloss:0.06909 263s [8] validation_0-logloss:0.05766 263s [9] validation_0-logloss:0.04842 263s [10] validation_0-logloss:0.04121 263s [11] validation_0-logloss:0.03545 263s [12] validation_0-logloss:0.03077 263s [13] validation_0-logloss:0.02742 263s [14] validation_0-logloss:0.02444 263s [15] validation_0-logloss:0.02208 263s [16] validation_0-logloss:0.01993 263s [17] validation_0-logloss:0.01819 263s [18] validation_0-logloss:0.01676 263s [19] validation_0-logloss:0.01575 263s [20] validation_0-logloss:0.01461 263s [21] validation_0-logloss:0.01383 263s [22] validation_0-logloss:0.01304 263s [23] validation_0-logloss:0.01243 263s [24] validation_0-logloss:0.01179 263s [25] validation_0-logloss:0.01142 263s [26] validation_0-logloss:0.01103 263s [27] validation_0-logloss:0.01066 263s [28] validation_0-logloss:0.01037 263s [29] validation_0-logloss:0.00993 263s [30] validation_0-logloss:0.00966 263s [31] validation_0-logloss:0.00920 263s [0] validation_0-logloss:0.00900 263s [1] validation_0-logloss:0.00876 263s [2] validation_0-logloss:0.00852 264s [3] validation_0-logloss:0.00835 264s [4] validation_0-logloss:0.00810 264s [5] validation_0-logloss:0.00791 264s [6] validation_0-logloss:0.00764 264s [7] validation_0-logloss:0.00753 264s [8] validation_0-logloss:0.00739 264s [9] validation_0-logloss:0.00723 264s [10] validation_0-logloss:0.00706 264s [11] validation_0-logloss:0.00695 264s [12] validation_0-logloss:0.00688 264s [13] validation_0-logloss:0.00671 264s [14] validation_0-logloss:0.00662 264s [15] validation_0-logloss:0.00650 264s [16] validation_0-logloss:0.00637 264s [17] validation_0-logloss:0.00628 264s [18] validation_0-logloss:0.00623 264s [19] validation_0-logloss:0.00618 264s [20] validation_0-logloss:0.00614 264s [21] validation_0-logloss:0.00609 264s [22] validation_0-logloss:0.00600 264s [23] validation_0-logloss:0.00590 264s [24] validation_0-logloss:0.00582 264s [25] validation_0-logloss:0.00578 264s [26] validation_0-logloss:0.00570 264s [27] validation_0-logloss:0.00566 264s [28] validation_0-logloss:0.00563 264s [29] validation_0-logloss:0.00559 264s [30] validation_0-logloss:0.00556 264s [31] validation_0-logloss:0.00553 264s [32] validation_0-logloss:0.00549 264s [33] validation_0-logloss:0.00546 264s [34] validation_0-logloss:0.00543 264s [35] validation_0-logloss:0.00540 264s [36] validation_0-logloss:0.00537 264s [37] validation_0-logloss:0.00534 264s [38] validation_0-logloss:0.00531 264s [39] validation_0-logloss:0.00528 264s [40] validation_0-logloss:0.00525 264s [41] validation_0-logloss:0.00523 264s [42] validation_0-logloss:0.00520 264s [43] validation_0-logloss:0.00517 264s [44] validation_0-logloss:0.00515 264s [45] validation_0-logloss:0.00512 264s [46] validation_0-logloss:0.00510 264s [47] validation_0-logloss:0.00507 264s [48] validation_0-logloss:0.00505 264s [49] validation_0-logloss:0.00502 264s [50] validation_0-logloss:0.00500 264s [51] validation_0-logloss:0.00498 264s [52] validation_0-logloss:0.00496 264s [53] validation_0-logloss:0.00493 264s [54] validation_0-logloss:0.00491 264s [55] validation_0-logloss:0.00489 264s [56] validation_0-logloss:0.00486 264s [57] validation_0-logloss:0.00484 264s [58] validation_0-logloss:0.00482 264s [59] validation_0-logloss:0.00480 264s [60] validation_0-logloss:0.00478 264s [61] validation_0-logloss:0.00476 264s [62] validation_0-logloss:0.00474 264s [63] validation_0-logloss:0.00472 264s [64] validation_0-logloss:0.00470 264s [65] validation_0-logloss:0.00468 264s [66] validation_0-logloss:0.00466 264s [67] validation_0-logloss:0.00464 264s [68] validation_0-logloss:0.00463 264s [69] validation_0-logloss:0.00461 264s [70] validation_0-logloss:0.00459 264s [71] validation_0-logloss:0.00457 264s [72] validation_0-logloss:0.00456 264s [73] validation_0-logloss:0.00454 264s [74] validation_0-logloss:0.00452 264s [75] validation_0-logloss:0.00451 264s [76] validation_0-logloss:0.00449 264s [77] validation_0-logloss:0.00448 264s [78] validation_0-logloss:0.00446 264s [79] validation_0-logloss:0.00444 264s [80] validation_0-logloss:0.00443 264s [81] validation_0-logloss:0.00441 264s [82] validation_0-logloss:0.00440 264s [83] validation_0-logloss:0.00438 264s [84] validation_0-logloss:0.00437 264s [85] validation_0-logloss:0.00435 264s [86] validation_0-logloss:0.00434 264s [87] validation_0-logloss:0.00433 264s [88] validation_0-logloss:0.00431 264s [89] validation_0-logloss:0.00430 264s [90] validation_0-logloss:0.00429 264s [91] validation_0-logloss:0.00427 264s [92] validation_0-logloss:0.00426 264s [93] validation_0-logloss:0.00425 264s [94] validation_0-logloss:0.00423 264s [95] validation_0-logloss:0.00422 264s Total boosted rounds: 128 265s ========================================== 265s Running case cross_validation.py... 266s running cross validation 266s [0] train-error:0.05067+0.00920 test-error:0.05573+0.01589 266s [1] train-error:0.02130+0.00206 test-error:0.02119+0.00365 266s running cross validation, disable standard deviation display 266s [0] train-error:0.05067 test-error:0.05573 266s [1] train-error:0.02130 test-error:0.02119 266s [2] train-error:0.00994 test-error:0.00998 266s [3] train-error:0.01413 test-error:0.01443 266s [4] train-error:0.00599 test-error:0.00630 266s [5] train-error:0.00203 test-error:0.00169 266s [6] train-error:0.00123 test-error:0.00123 266s [7] train-error:0.00123 test-error:0.00123 266s [8] train-error:0.00092 test-error:0.00123 266s [9] train-error:0.00061 test-error:0.00123 266s /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`. 266s warnings.warn( 266s train-error-mean train-error-std test-error-mean test-error-std 266s 0 0.050668 0.009201 0.055732 0.015889 266s 1 0.021303 0.002055 0.021188 0.003653 266s 2 0.009942 0.006076 0.009979 0.004828 266s 3 0.014126 0.001706 0.014433 0.003517 266s 4 0.005988 0.001878 0.006295 0.003123 266s 5 0.002034 0.001469 0.001689 0.000574 266s 6 0.001228 0.000260 0.001228 0.001041 266s running cross validation, with preprocessing function 266s running cross validation, with customized loss function 266s ========================================== 266s Running case custom_rmsle.py... 266s /tmp/autopkgtest.aRHfLo/build.VaW/src/demo/guide-python/custom_rmsle.py:139: SyntaxWarning: invalid escape sequence '\s' 266s :math:`\sqrt{\frac{1}{N}[log(pred + 1) - log(label + 1)]^2}` 268s Squared Error 268s [0] dtrain-rmse:682.95908 dtest-rmse:745.95555 268s [1] dtrain-rmse:627.66199 dtest-rmse:751.49583 268s [2] dtrain-rmse:596.74396 dtest-rmse:766.33054 268s [3] dtrain-rmse:555.92371 dtest-rmse:776.92703 268s [4] dtrain-rmse:519.58613 dtest-rmse:789.74145 268s [5] dtrain-rmse:501.26007 dtest-rmse:805.22881 268s [6] dtrain-rmse:453.81757 dtest-rmse:810.70817 268s [7] dtrain-rmse:423.51474 dtest-rmse:822.61798 268s [8] dtrain-rmse:383.34479 dtest-rmse:826.43243 268s [9] dtrain-rmse:371.08179 dtest-rmse:827.23674 268s [10] dtrain-rmse:353.11776 dtest-rmse:828.84174 268s [11] dtrain-rmse:316.42149 dtest-rmse:832.98904 268s [12] dtrain-rmse:300.24359 dtest-rmse:834.90637 268s [13] dtrain-rmse:285.81935 dtest-rmse:836.55001 268s [14] dtrain-rmse:278.47432 dtest-rmse:838.29965 268s [15] dtrain-rmse:266.08310 dtest-rmse:840.16158 268s [16] dtrain-rmse:261.48875 dtest-rmse:841.45332 268s [17] dtrain-rmse:253.15765 dtest-rmse:841.96773 268s [18] dtrain-rmse:246.41335 dtest-rmse:842.26433 268s [19] dtrain-rmse:242.90377 dtest-rmse:843.24280 268s Finished Squared Error in: 0.062479257583618164 268s 268s Squared Log Error 268s [0] dtrain-rmsle:1.31939 dtest-rmsle:1.26056 268s [1] dtrain-rmsle:1.22093 dtest-rmsle:1.16061 268s [2] dtrain-rmsle:1.13670 dtest-rmsle:1.07549 268s [3] dtrain-rmsle:1.06691 dtest-rmsle:1.00568 268s [4] dtrain-rmsle:1.01079 dtest-rmsle:0.95190 268s [5] dtrain-rmsle:0.96709 dtest-rmsle:0.91206 268s [6] dtrain-rmsle:0.93453 dtest-rmsle:0.88458 268s [7] dtrain-rmsle:0.90925 dtest-rmsle:0.86580 268s [8] dtrain-rmsle:0.89139 dtest-rmsle:0.85326 268s [9] dtrain-rmsle:0.87620 dtest-rmsle:0.84621 268s [10] dtrain-rmsle:0.86538 dtest-rmsle:0.84136 268s [11] dtrain-rmsle:0.85715 dtest-rmsle:0.83849 268s [12] dtrain-rmsle:0.84866 dtest-rmsle:0.83767 268s [13] dtrain-rmsle:0.84230 dtest-rmsle:0.83693 268s [14] dtrain-rmsle:0.83639 dtest-rmsle:0.83785 268s [15] dtrain-rmsle:0.83076 dtest-rmsle:0.83853 268s [16] dtrain-rmsle:0.82671 dtest-rmsle:0.83887 268s [17] dtrain-rmsle:0.82297 dtest-rmsle:0.83883 268s [18] dtrain-rmsle:0.81919 dtest-rmsle:0.83945 268s [19] dtrain-rmsle:0.81638 dtest-rmsle:0.83981 268s Finished Squared Log Error in: 0.04421830177307129 268s [0] dtrain-PyRMSLE:1.37154 dtest-PyRMSLE:1.31491 268s [1] dtrain-PyRMSLE:1.26642 dtest-PyRMSLE:1.20792 268s [2] dtrain-PyRMSLE:1.17525 dtest-PyRMSLE:1.11539 268s [3] dtrain-PyRMSLE:1.09848 dtest-PyRMSLE:1.03800 268s [4] dtrain-PyRMSLE:1.03565 dtest-PyRMSLE:0.97673 268s [5] dtrain-PyRMSLE:0.98595 dtest-PyRMSLE:0.93063 268s [6] dtrain-PyRMSLE:0.94774 dtest-PyRMSLE:0.89723 268s [7] dtrain-PyRMSLE:0.91977 dtest-PyRMSLE:0.87448 268s [8] dtrain-PyRMSLE:0.89796 dtest-PyRMSLE:0.85932 268s [9] dtrain-PyRMSLE:0.88141 dtest-PyRMSLE:0.85028 268s [10] dtrain-PyRMSLE:0.86816 dtest-PyRMSLE:0.84450 268s [11] dtrain-PyRMSLE:0.85991 dtest-PyRMSLE:0.84015 268s [12] dtrain-PyRMSLE:0.85120 dtest-PyRMSLE:0.83900 268s [13] dtrain-PyRMSLE:0.84384 dtest-PyRMSLE:0.83775 268s [14] dtrain-PyRMSLE:0.83741 dtest-PyRMSLE:0.83732 268s [15] dtrain-PyRMSLE:0.83253 dtest-PyRMSLE:0.83800 268s [16] dtrain-PyRMSLE:0.82842 dtest-PyRMSLE:0.83827 268s [17] dtrain-PyRMSLE:0.82535 dtest-PyRMSLE:0.83844 268s [18] dtrain-PyRMSLE:0.82169 dtest-PyRMSLE:0.83953 268s [19] dtrain-PyRMSLE:0.81857 dtest-PyRMSLE:0.84046 268s ========================================== 268s Running case custom_softmax.py... 270s /tmp/autopkgtest.aRHfLo/build.VaW/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.) 270s grad[r, c] = g 270s [0] train-PyMError:0.14000 270s [1] train-PyMError:0.00000 270s [2] train-PyMError:0.01000 270s [3] train-PyMError:0.00000 270s [4] train-PyMError:0.00000 270s [5] train-PyMError:0.00000 270s [6] train-PyMError:0.00000 270s [7] train-PyMError:0.00000 270s [8] train-PyMError:0.00000 270s [9] train-PyMError:0.00000 270s [0] train-merror:0.14000 270s [1] train-merror:0.00000 270s [2] train-merror:0.01000 270s [3] train-merror:0.00000 270s [4] train-merror:0.00000 270s [5] train-merror:0.00000 270s [6] train-merror:0.00000 270s [7] train-merror:0.00000 270s [8] train-merror:0.00000 270s [9] train-merror:0.00000 270s ========================================== 270s Running case evals_result.py... 271s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 271s warnings.warn(msg, FutureWarning) 271s [0] eval-logloss:0.47977 eval-error:0.04283 train-logloss:0.48196 train-error:0.04652 271s [1] eval-logloss:0.35740 eval-error:0.04283 train-logloss:0.35919 train-error:0.04652 271s Access logloss metric directly from evals_result: 271s [0.4797663698279288, 0.35739665886839306] 271s 271s Access metrics through a loop: 271s - eval 271s - logloss 271s - [0.4797663698279288, 0.35739665886839306] 271s - error 271s - [0.04283054003724395, 0.04283054003724395] 271s - train 271s - logloss 271s - [0.4819583435789261, 0.35919429156594646] 271s - error 271s - [0.04652233993551359, 0.04652233993551359] 271s 271s Access complete dictionary: 271s {'eval': OrderedDict({'logloss': [0.4797663698279288, 0.35739665886839306], 'error': [0.04283054003724395, 0.04283054003724395]}), 'train': OrderedDict({'logloss': [0.4819583435789261, 0.35919429156594646], 'error': [0.04652233993551359, 0.04652233993551359]})} 272s ========================================== 272s Running case external_memory.py... 273s [0] Train-rmse:170.67905 273s [1] Train-rmse:166.88130 273s [2] Train-rmse:163.67251 273s [3] Train-rmse:160.83024 273s [4] Train-rmse:158.26351 273s [5] Train-rmse:155.91569 273s [6] Train-rmse:153.74380 273s [7] Train-rmse:151.74583 273s [8] Train-rmse:149.92400 273s [9] Train-rmse:148.14658 274s ========================================== 274s Running case feature_weights.py... 275s [0] d-rmse:1.00430 275s [1] d-rmse:0.99638 275s [2] d-rmse:0.98161 275s [3] d-rmse:0.97086 275s [4] d-rmse:0.96269 275s [5] d-rmse:0.94829 275s [6] d-rmse:0.93914 275s [7] d-rmse:0.93187 275s [8] d-rmse:0.92274 275s [9] d-rmse:0.91749 275s ========================================== 275s Skip case gamma_regression.py... 275s ========================================== 275s Running case generalized_linear_model.py... 276s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 276s warnings.warn(msg, FutureWarning) 276s [0] eval-logloss:0.57016 train-logloss:0.56752 276s [1] eval-logloss:0.52955 train-logloss:0.52589 276s [2] eval-logloss:0.51413 train-logloss:0.51010 276s [3] eval-logloss:0.50808 train-logloss:0.50392 276s error=0.119181 277s ========================================== 277s Running case individual_trees.py... 278s ========================================== 278s Skip case learning_to_rank.py... 278s ========================================== 278s Running case multioutput_regression.py... 280s [0] validation_0-rmse:0.29417 280s [1] validation_0-rmse:0.26360 280s [2] validation_0-rmse:0.23619 280s [3] validation_0-rmse:0.22068 280s [4] validation_0-rmse:0.20681 280s [5] validation_0-rmse:0.19295 280s [6] validation_0-rmse:0.17849 280s [7] validation_0-rmse:0.16562 280s [8] validation_0-rmse:0.15492 280s [9] validation_0-rmse:0.14493 280s [10] validation_0-rmse:0.13892 280s [11] validation_0-rmse:0.13172 280s [12] validation_0-rmse:0.12253 280s [13] validation_0-rmse:0.11744 280s [14] validation_0-rmse:0.10981 280s [15] validation_0-rmse:0.10176 280s [16] validation_0-rmse:0.09476 280s [17] validation_0-rmse:0.08947 280s [18] validation_0-rmse:0.08399 280s [19] validation_0-rmse:0.07952 280s [20] validation_0-rmse:0.07442 280s [21] validation_0-rmse:0.07048 280s [22] validation_0-rmse:0.06749 280s [23] validation_0-rmse:0.06505 280s [24] validation_0-rmse:0.06060 280s [25] validation_0-rmse:0.05737 280s [26] validation_0-rmse:0.05539 280s [27] validation_0-rmse:0.05326 280s [28] validation_0-rmse:0.05026 280s [29] validation_0-rmse:0.04692 280s [30] validation_0-rmse:0.04501 280s [31] validation_0-rmse:0.04175 280s [32] validation_0-rmse:0.03970 280s [33] validation_0-rmse:0.03683 280s [34] validation_0-rmse:0.03430 280s [35] validation_0-rmse:0.03219 280s [36] validation_0-rmse:0.03058 280s [37] validation_0-rmse:0.02914 280s [38] validation_0-rmse:0.02778 280s [39] validation_0-rmse:0.02611 280s [40] validation_0-rmse:0.02504 280s [41] validation_0-rmse:0.02322 280s [42] validation_0-rmse:0.02212 280s [43] validation_0-rmse:0.02129 280s [44] validation_0-rmse:0.01992 280s [45] validation_0-rmse:0.01930 280s [46] validation_0-rmse:0.01864 280s [47] validation_0-rmse:0.01744 280s [48] validation_0-rmse:0.01618 280s [49] validation_0-rmse:0.01521 280s [50] validation_0-rmse:0.01428 280s [51] validation_0-rmse:0.01346 280s [52] validation_0-rmse:0.01276 280s [53] validation_0-rmse:0.01209 280s [54] validation_0-rmse:0.01154 280s [55] validation_0-rmse:0.01094 280s [56] validation_0-rmse:0.01023 280s [57] validation_0-rmse:0.00979 280s [58] validation_0-rmse:0.00934 280s [59] validation_0-rmse:0.00879 280s [60] validation_0-rmse:0.00845 280s [61] validation_0-rmse:0.00822 280s [62] validation_0-rmse:0.00790 280s [63] validation_0-rmse:0.00742 280s [64] validation_0-rmse:0.00711 280s [65] validation_0-rmse:0.00682 280s [66] validation_0-rmse:0.00644 280s [67] validation_0-rmse:0.00615 280s [68] validation_0-rmse:0.00577 280s [69] validation_0-rmse:0.00553 280s [70] validation_0-rmse:0.00514 280s [71] validation_0-rmse:0.00493 280s [72] validation_0-rmse:0.00468 280s [73] validation_0-rmse:0.00443 280s [74] validation_0-rmse:0.00426 280s [75] validation_0-rmse:0.00389 280s [76] validation_0-rmse:0.00362 280s [77] validation_0-rmse:0.00340 280s [78] validation_0-rmse:0.00323 280s [79] validation_0-rmse:0.00303 280s [80] validation_0-rmse:0.00288 280s [81] validation_0-rmse:0.00275 280s [82] validation_0-rmse:0.00264 280s [83] validation_0-rmse:0.00253 280s [84] validation_0-rmse:0.00240 280s [85] validation_0-rmse:0.00230 280s [86] validation_0-rmse:0.00219 280s [87] validation_0-rmse:0.00208 280s [88] validation_0-rmse:0.00198 280s [89] validation_0-rmse:0.00191 280s [90] validation_0-rmse:0.00183 280s [91] validation_0-rmse:0.00173 280s [92] validation_0-rmse:0.00169 280s [93] validation_0-rmse:0.00161 280s [94] validation_0-rmse:0.00154 280s [95] validation_0-rmse:0.00148 280s [96] validation_0-rmse:0.00145 280s [97] validation_0-rmse:0.00141 280s [98] validation_0-rmse:0.00138 280s [99] validation_0-rmse:0.00134 280s [100] validation_0-rmse:0.00131 280s [101] validation_0-rmse:0.00128 280s [102] validation_0-rmse:0.00122 280s [103] validation_0-rmse:0.00121 280s [104] validation_0-rmse:0.00119 280s [105] validation_0-rmse:0.00117 280s [106] validation_0-rmse:0.00113 280s [107] validation_0-rmse:0.00111 280s [108] validation_0-rmse:0.00108 280s [109] validation_0-rmse:0.00104 280s [110] validation_0-rmse:0.00104 280s [111] validation_0-rmse:0.00102 280s [112] validation_0-rmse:0.00100 280s [113] validation_0-rmse:0.00100 280s [114] validation_0-rmse:0.00098 280s [115] validation_0-rmse:0.00098 280s [116] validation_0-rmse:0.00097 280s [117] validation_0-rmse:0.00097 280s [118] validation_0-rmse:0.00097 280s [119] validation_0-rmse:0.00097 280s [120] validation_0-rmse:0.00097 280s [121] validation_0-rmse:0.00096 280s [122] validation_0-rmse:0.00096 280s [123] validation_0-rmse:0.00095 280s [124] validation_0-rmse:0.00093 280s [125] validation_0-rmse:0.00093 280s [126] validation_0-rmse:0.00093 280s [127] validation_0-rmse:0.00092 280s [0] validation_0-rmse:0.29633 280s [1] validation_0-rmse:0.27038 280s [2] validation_0-rmse:0.24670 280s [3] validation_0-rmse:0.22485 280s [4] validation_0-rmse:0.20795 280s [5] validation_0-rmse:0.19109 280s [6] validation_0-rmse:0.17936 280s [7] validation_0-rmse:0.17053 280s [8] validation_0-rmse:0.16198 280s [9] validation_0-rmse:0.15406 280s [10] validation_0-rmse:0.14510 280s [11] validation_0-rmse:0.13641 280s [12] validation_0-rmse:0.12550 280s [13] validation_0-rmse:0.11761 280s [14] validation_0-rmse:0.11132 280s [15] validation_0-rmse:0.10186 280s [16] validation_0-rmse:0.09376 280s [17] validation_0-rmse:0.08897 280s [18] validation_0-rmse:0.08226 280s [19] validation_0-rmse:0.07742 280s [20] validation_0-rmse:0.07209 280s [21] validation_0-rmse:0.06959 280s [22] validation_0-rmse:0.06703 280s [23] validation_0-rmse:0.06274 280s [24] validation_0-rmse:0.05932 280s [25] validation_0-rmse:0.05540 280s [26] validation_0-rmse:0.05157 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validation_0-rmse:0.01136 280s [55] validation_0-rmse:0.01080 280s [56] validation_0-rmse:0.01010 280s [57] validation_0-rmse:0.00947 280s [58] validation_0-rmse:0.00871 280s [59] validation_0-rmse:0.00818 280s [60] validation_0-rmse:0.00766 280s [61] validation_0-rmse:0.00737 280s [62] validation_0-rmse:0.00695 280s [63] validation_0-rmse:0.00658 280s [64] validation_0-rmse:0.00616 280s [65] validation_0-rmse:0.00595 280s [66] validation_0-rmse:0.00566 280s [67] validation_0-rmse:0.00526 280s [68] validation_0-rmse:0.00487 280s [69] validation_0-rmse:0.00469 280s [70] validation_0-rmse:0.00446 280s [71] validation_0-rmse:0.00422 280s [72] validation_0-rmse:0.00403 280s [73] validation_0-rmse:0.00381 280s [74] validation_0-rmse:0.00360 280s [75] validation_0-rmse:0.00346 280s [76] validation_0-rmse:0.00330 280s [77] validation_0-rmse:0.00312 280s [78] validation_0-rmse:0.00296 280s [79] validation_0-rmse:0.00284 280s [80] validation_0-rmse:0.00275 280s [81] validation_0-rmse:0.00264 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validation_0-rmse:0.00093 280s [110] validation_0-rmse:0.00091 280s [111] validation_0-rmse:0.00087 280s [112] validation_0-rmse:0.00086 280s [113] validation_0-rmse:0.00084 280s [114] validation_0-rmse:0.00084 280s [115] validation_0-rmse:0.00083 280s [116] validation_0-rmse:0.00083 280s [117] validation_0-rmse:0.00082 280s [118] validation_0-rmse:0.00082 280s [119] validation_0-rmse:0.00081 280s [120] validation_0-rmse:0.00080 280s [121] validation_0-rmse:0.00079 280s [122] validation_0-rmse:0.00079 280s [123] validation_0-rmse:0.00078 280s [124] validation_0-rmse:0.00078 280s [125] validation_0-rmse:0.00077 280s [126] validation_0-rmse:0.00077 280s [127] validation_0-rmse:0.00076 280s [0] Train-rmse:0.28597 Train-PyRMSE:4.04424 280s [1] Train-rmse:0.25494 Train-PyRMSE:3.60534 280s [2] Train-rmse:0.23359 Train-PyRMSE:3.30341 280s [3] Train-rmse:0.21640 Train-PyRMSE:3.06038 280s [4] Train-rmse:0.20574 Train-PyRMSE:2.90962 280s [5] Train-rmse:0.19311 Train-PyRMSE:2.73098 280s [6] Train-rmse:0.18435 Train-PyRMSE:2.60710 280s [7] Train-rmse:0.17502 Train-PyRMSE:2.47516 280s [8] Train-rmse:0.16830 Train-PyRMSE:2.38017 280s [9] Train-rmse:0.15957 Train-PyRMSE:2.25667 280s [10] Train-rmse:0.15430 Train-PyRMSE:2.18211 280s [11] Train-rmse:0.14604 Train-PyRMSE:2.06533 280s [12] Train-rmse:0.13629 Train-PyRMSE:1.92740 280s [13] Train-rmse:0.13249 Train-PyRMSE:1.87376 280s [14] Train-rmse:0.12557 Train-PyRMSE:1.77588 280s [15] Train-rmse:0.12198 Train-PyRMSE:1.72505 280s [16] Train-rmse:0.11972 Train-PyRMSE:1.69314 280s [17] Train-rmse:0.11345 Train-PyRMSE:1.60444 280s [18] Train-rmse:0.10926 Train-PyRMSE:1.54524 280s [19] Train-rmse:0.10367 Train-PyRMSE:1.46616 280s [20] Train-rmse:0.09938 Train-PyRMSE:1.40550 280s [21] Train-rmse:0.09543 Train-PyRMSE:1.34963 280s [22] Train-rmse:0.09302 Train-PyRMSE:1.31552 280s [23] Train-rmse:0.08848 Train-PyRMSE:1.25132 280s [24] Train-rmse:0.08575 Train-PyRMSE:1.21274 280s [25] Train-rmse:0.08280 Train-PyRMSE:1.17092 280s [26] Train-rmse:0.07694 Train-PyRMSE:1.08803 280s [27] Train-rmse:0.07375 Train-PyRMSE:1.04299 280s [28] Train-rmse:0.07137 Train-PyRMSE:1.00927 280s [29] Train-rmse:0.06737 Train-PyRMSE:0.95281 280s [30] Train-rmse:0.06433 Train-PyRMSE:0.90978 280s [31] Train-rmse:0.06239 Train-PyRMSE:0.88235 280s [32] Train-rmse:0.06093 Train-PyRMSE:0.86164 280s [33] Train-rmse:0.05800 Train-PyRMSE:0.82031 280s [34] Train-rmse:0.05568 Train-PyRMSE:0.78745 280s [35] Train-rmse:0.05430 Train-PyRMSE:0.76797 280s [36] Train-rmse:0.05124 Train-PyRMSE:0.72468 280s [37] Train-rmse:0.04849 Train-PyRMSE:0.68580 280s [38] Train-rmse:0.04754 Train-PyRMSE:0.67231 280s [39] Train-rmse:0.04704 Train-PyRMSE:0.66519 280s [40] Train-rmse:0.04449 Train-PyRMSE:0.62916 280s [41] Train-rmse:0.04374 Train-PyRMSE:0.61865 280s [42] Train-rmse:0.04281 Train-PyRMSE:0.60545 280s [43] Train-rmse:0.04101 Train-PyRMSE:0.58000 280s [44] Train-rmse:0.03921 Train-PyRMSE:0.55448 280s [45] Train-rmse:0.03761 Train-PyRMSE:0.53186 280s [46] Train-rmse:0.03628 Train-PyRMSE:0.51314 280s [47] Train-rmse:0.03566 Train-PyRMSE:0.50431 280s [48] Train-rmse:0.03379 Train-PyRMSE:0.47782 280s [49] Train-rmse:0.03265 Train-PyRMSE:0.46180 280s [50] Train-rmse:0.03208 Train-PyRMSE:0.45373 280s [51] Train-rmse:0.03132 Train-PyRMSE:0.44294 280s [52] Train-rmse:0.03024 Train-PyRMSE:0.42768 280s [53] Train-rmse:0.02897 Train-PyRMSE:0.40968 280s [54] Train-rmse:0.02838 Train-PyRMSE:0.40136 280s [55] Train-rmse:0.02777 Train-PyRMSE:0.39273 280s [56] Train-rmse:0.02668 Train-PyRMSE:0.37727 280s [57] Train-rmse:0.02579 Train-PyRMSE:0.36475 280s [58] Train-rmse:0.02436 Train-PyRMSE:0.34444 280s [59] Train-rmse:0.02411 Train-PyRMSE:0.34092 280s [60] Train-rmse:0.02344 Train-PyRMSE:0.33144 280s [61] Train-rmse:0.02296 Train-PyRMSE:0.32477 280s [62] Train-rmse:0.02203 Train-PyRMSE:0.31151 280s [63] Train-rmse:0.02109 Train-PyRMSE:0.29828 280s [64] Train-rmse:0.02058 Train-PyRMSE:0.29102 280s [65] Train-rmse:0.02017 Train-PyRMSE:0.28528 280s [66] 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Train-PyRMSE:0.48498 281s [58] Train-rmse:0.03400 Train-PyRMSE:0.48083 281s [59] Train-rmse:0.03295 Train-PyRMSE:0.46597 281s [60] Train-rmse:0.03237 Train-PyRMSE:0.45775 281s [61] Train-rmse:0.03091 Train-PyRMSE:0.43707 281s [62] Train-rmse:0.02998 Train-PyRMSE:0.42399 281s [63] Train-rmse:0.02849 Train-PyRMSE:0.40286 281s [64] Train-rmse:0.02729 Train-PyRMSE:0.38595 281s [65] Train-rmse:0.02692 Train-PyRMSE:0.38069 281s [66] Train-rmse:0.02618 Train-PyRMSE:0.37018 281s [67] Train-rmse:0.02588 Train-PyRMSE:0.36600 281s [68] Train-rmse:0.02491 Train-PyRMSE:0.35229 281s [69] Train-rmse:0.02428 Train-PyRMSE:0.34344 281s [70] Train-rmse:0.02398 Train-PyRMSE:0.33907 281s [71] Train-rmse:0.02309 Train-PyRMSE:0.32650 281s [72] Train-rmse:0.02219 Train-PyRMSE:0.31381 281s [73] Train-rmse:0.02094 Train-PyRMSE:0.29616 281s [74] Train-rmse:0.02079 Train-PyRMSE:0.29398 281s [75] Train-rmse:0.02028 Train-PyRMSE:0.28685 281s [76] Train-rmse:0.01931 Train-PyRMSE:0.27311 281s [77] Train-rmse:0.01919 Train-PyRMSE:0.27140 281s [78] Train-rmse:0.01862 Train-PyRMSE:0.26336 281s [79] Train-rmse:0.01743 Train-PyRMSE:0.24652 281s [80] Train-rmse:0.01699 Train-PyRMSE:0.24033 281s [81] Train-rmse:0.01644 Train-PyRMSE:0.23256 281s [82] Train-rmse:0.01565 Train-PyRMSE:0.22127 281s [83] Train-rmse:0.01526 Train-PyRMSE:0.21582 281s [84] Train-rmse:0.01503 Train-PyRMSE:0.21258 281s [85] Train-rmse:0.01450 Train-PyRMSE:0.20508 281s [86] Train-rmse:0.01410 Train-PyRMSE:0.19936 281s [87] Train-rmse:0.01349 Train-PyRMSE:0.19080 281s [88] Train-rmse:0.01288 Train-PyRMSE:0.18211 281s [89] Train-rmse:0.01278 Train-PyRMSE:0.18071 281s [90] Train-rmse:0.01220 Train-PyRMSE:0.17252 281s [91] Train-rmse:0.01179 Train-PyRMSE:0.16679 281s [92] Train-rmse:0.01166 Train-PyRMSE:0.16490 281s [93] Train-rmse:0.01132 Train-PyRMSE:0.16008 281s [94] Train-rmse:0.01088 Train-PyRMSE:0.15388 281s [95] Train-rmse:0.01060 Train-PyRMSE:0.14993 281s [96] Train-rmse:0.01006 Train-PyRMSE:0.14229 281s [97] Train-rmse:0.00998 Train-PyRMSE:0.14109 281s [98] Train-rmse:0.00954 Train-PyRMSE:0.13496 281s [99] Train-rmse:0.00948 Train-PyRMSE:0.13406 281s [100] Train-rmse:0.00926 Train-PyRMSE:0.13098 281s [101] Train-rmse:0.00901 Train-PyRMSE:0.12747 281s [102] Train-rmse:0.00885 Train-PyRMSE:0.12510 281s [103] Train-rmse:0.00847 Train-PyRMSE:0.11979 281s [104] Train-rmse:0.00833 Train-PyRMSE:0.11784 281s [105] Train-rmse:0.00791 Train-PyRMSE:0.11187 281s [106] Train-rmse:0.00787 Train-PyRMSE:0.11125 281s [107] Train-rmse:0.00755 Train-PyRMSE:0.10682 281s [108] Train-rmse:0.00724 Train-PyRMSE:0.10245 281s [109] Train-rmse:0.00705 Train-PyRMSE:0.09976 281s [110] Train-rmse:0.00683 Train-PyRMSE:0.09662 281s [111] Train-rmse:0.00656 Train-PyRMSE:0.09274 281s [112] Train-rmse:0.00641 Train-PyRMSE:0.09058 281s [113] Train-rmse:0.00631 Train-PyRMSE:0.08921 281s [114] Train-rmse:0.00606 Train-PyRMSE:0.08569 281s [115] Train-rmse:0.00583 Train-PyRMSE:0.08241 281s [116] Train-rmse:0.00578 Train-PyRMSE:0.08175 281s [117] Train-rmse:0.00562 Train-PyRMSE:0.07946 281s [118] Train-rmse:0.00553 Train-PyRMSE:0.07818 281s [119] Train-rmse:0.00533 Train-PyRMSE:0.07539 281s [120] Train-rmse:0.00514 Train-PyRMSE:0.07262 281s [121] Train-rmse:0.00510 Train-PyRMSE:0.07211 281s [122] Train-rmse:0.00501 Train-PyRMSE:0.07088 281s [123] Train-rmse:0.00489 Train-PyRMSE:0.06912 281s [124] Train-rmse:0.00475 Train-PyRMSE:0.06722 281s [125] Train-rmse:0.00473 Train-PyRMSE:0.06690 281s [126] Train-rmse:0.00467 Train-PyRMSE:0.06603 281s [127] Train-rmse:0.00443 Train-PyRMSE:0.06259 281s ========================================== 281s Running case predict_first_ntree.py... 282s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 282s warnings.warn(msg, FutureWarning) 283s [0] eval-logloss:0.22646 train-logloss:0.23316 283s [1] eval-logloss:0.13776 train-logloss:0.13654 283s [2] eval-logloss:0.08036 train-logloss:0.08243 283s start testing prediction from first n trees 283s error of ypred1=0.042831 283s error of ypred2=0.006207 283s [0] validation_0-logloss:0.22646 283s [1] validation_0-logloss:0.13776 283s [2] validation_0-logloss:0.08036 283s start testing prediction from first n trees 283s error of ypred1=0.042831 283s error of ypred2=0.006207 284s ========================================== 284s Running case predict_leaf_indices.py... 285s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 285s warnings.warn(msg, FutureWarning) 285s [0] eval-logloss:0.22646 train-logloss:0.23316 285s [1] eval-logloss:0.13776 train-logloss:0.13654 285s [2] eval-logloss:0.08036 train-logloss:0.08243 285s start testing predict the leaf indices 285s (1611, 2, 1, 1) 285s [[[[5.]] 285s 285s [[4.]]] 285s 285s 285s [[[6.]] 285s 285s [[4.]]] 285s 285s 285s [[[5.]] 285s 285s [[4.]]] 285s 285s 285s ... 285s 285s 285s [[[6.]] 285s 285s [[4.]]] 285s 285s 285s [[[4.]] 285s 285s [[3.]]] 285s 285s 285s [[[6.]] 285s 285s [[4.]]]] 285s (1611, 3) 285s ========================================== 285s Skip case quantile_data_iterator.py... 285s ========================================== 285s Running case quantile_regression.py... 286s [0] Train-quantile:1.50159 Test-quantile:1.45489 286s [1] Train-quantile:1.41395 Test-quantile:1.36960 286s [2] Train-quantile:1.33178 Test-quantile:1.28702 287s [3] Train-quantile:1.25429 Test-quantile:1.21133 287s [4] Train-quantile:1.18373 Test-quantile:1.13959 287s [5] Train-quantile:1.11898 Test-quantile:1.07261 287s [6] Train-quantile:1.05770 Test-quantile:1.01264 287s [7] Train-quantile:1.00142 Test-quantile:0.96139 287s [8] Train-quantile:0.94844 Test-quantile:0.91339 287s [9] Train-quantile:0.89917 Test-quantile:0.86934 287s [10] Train-quantile:0.85692 Test-quantile:0.82830 287s [11] Train-quantile:0.81823 Test-quantile:0.79270 287s [12] Train-quantile:0.78400 Test-quantile:0.75817 287s [13] Train-quantile:0.75333 Test-quantile:0.72983 288s [14] Train-quantile:0.72555 Test-quantile:0.70335 288s [15] Train-quantile:0.69885 Test-quantile:0.67960 288s [16] Train-quantile:0.67482 Test-quantile:0.65947 288s [17] Train-quantile:0.65359 Test-quantile:0.64055 288s [18] Train-quantile:0.63363 Test-quantile:0.62346 288s [19] Train-quantile:0.61495 Test-quantile:0.60855 288s [20] Train-quantile:0.59783 Test-quantile:0.59489 288s [21] Train-quantile:0.58197 Test-quantile:0.58130 288s [22] Train-quantile:0.56682 Test-quantile:0.56949 288s [23] Train-quantile:0.55237 Test-quantile:0.55744 288s [24] Train-quantile:0.53809 Test-quantile:0.54622 288s [25] Train-quantile:0.52441 Test-quantile:0.53571 288s [26] Train-quantile:0.51174 Test-quantile:0.52520 288s [27] Train-quantile:0.49974 Test-quantile:0.51546 289s [28] Train-quantile:0.48865 Test-quantile:0.50628 289s [29] Train-quantile:0.47833 Test-quantile:0.49784 289s [30] Train-quantile:0.46895 Test-quantile:0.48966 289s [31] Train-quantile:0.45900 Test-quantile:0.48302 289s [0] Train-rmse:4.32523 Test-rmse:4.63143 289s [1] Train-rmse:4.21367 Test-rmse:4.53399 289s [2] Train-rmse:4.10813 Test-rmse:4.44222 289s [3] Train-rmse:4.00795 Test-rmse:4.35559 289s [4] Train-rmse:3.91314 Test-rmse:4.27507 289s [5] Train-rmse:3.82342 Test-rmse:4.19994 289s [6] Train-rmse:3.73860 Test-rmse:4.12864 289s [7] Train-rmse:3.65855 Test-rmse:4.06333 289s [8] Train-rmse:3.58302 Test-rmse:3.99920 289s [9] Train-rmse:3.51166 Test-rmse:3.94100 289s [10] Train-rmse:3.44443 Test-rmse:3.88581 289s [11] Train-rmse:3.38085 Test-rmse:3.83491 289s [12] Train-rmse:3.32121 Test-rmse:3.78659 289s [13] Train-rmse:3.26491 Test-rmse:3.74137 289s [14] Train-rmse:3.21217 Test-rmse:3.69918 289s [15] Train-rmse:3.16233 Test-rmse:3.66047 289s [16] Train-rmse:3.11625 Test-rmse:3.62292 289s [17] Train-rmse:3.07250 Test-rmse:3.58980 289s [18] Train-rmse:3.03120 Test-rmse:3.55971 289s [19] Train-rmse:2.99260 Test-rmse:3.53039 289s [20] Train-rmse:2.95471 Test-rmse:3.50273 289s [21] Train-rmse:2.92082 Test-rmse:3.47765 289s [22] Train-rmse:2.88707 Test-rmse:3.45409 289s [23] Train-rmse:2.85719 Test-rmse:3.43196 289s [24] Train-rmse:2.82955 Test-rmse:3.41116 289s [25] Train-rmse:2.80145 Test-rmse:3.39262 289s [26] Train-rmse:2.77526 Test-rmse:3.37544 289s [27] Train-rmse:2.75237 Test-rmse:3.35703 289s [28] Train-rmse:2.73071 Test-rmse:3.34065 289s [29] Train-rmse:2.70895 Test-rmse:3.32714 289s [30] Train-rmse:2.69007 Test-rmse:3.31295 289s [31] Train-rmse:2.67125 Test-rmse:3.30119 289s ========================================== 289s Running case sklearn_evals_result.py... 290s [0] validation_0-logloss:0.63169 validation_1-logloss:0.65974 290s [1] validation_0-logloss:0.58449 validation_1-logloss:0.62161 290s Access logloss metric directly from validation_0: 290s [0.6316909282654524, 0.5844871088303626] 290s 290s Access metrics through a loop: 290s - validation_0 290s - logloss 290s - [0.6316909282654524, 0.5844871088303626] 290s - validation_1 290s - logloss 290s - [0.6597448766976595, 0.6216080508381129] 290s 290s Access complete dict: 290s {'validation_0': OrderedDict({'logloss': [0.6316909282654524, 0.5844871088303626]}), 'validation_1': OrderedDict({'logloss': [0.6597448766976595, 0.6216080508381129]})} 291s ========================================== 291s Running case sklearn_examples.py... 295s Zeros and Ones from the Digits dataset: binary classification 295s [[87 0] 295s [ 1 92]] 295s [[91 0] 295s [ 3 86]] 295s Iris: multiclass classification 295s [[19 0 0] 295s [ 1 31 2] 295s [ 0 3 19]] 295s [[31 0 0] 295s [ 0 16 0] 295s [ 0 1 27]] 295s California Housing: regression 295s 0.2310805601814026 295s 0.23533764411819863 295s Parameter optimization 295s Fitting 3 folds for each of 4 candidates, totalling 12 fits 295s 0.6838972456687431 295s {'max_depth': 4, 'n_estimators': 100} 295s Pickling sklearn API models 295s True 295s [0] validation_0-auc:0.99020 295s [1] validation_0-auc:0.99975 295s [2] validation_0-auc:0.99975 295s [3] validation_0-auc:0.99975 295s [4] validation_0-auc:0.99975 295s [5] validation_0-auc:0.99975 295s [6] validation_0-auc:1.00000 295s [7] validation_0-auc:1.00000 295s [8] validation_0-auc:1.00000 295s [9] validation_0-auc:1.00000 295s [10] validation_0-auc:1.00000 295s [11] validation_0-auc:1.00000 295s [12] validation_0-auc:1.00000 295s [13] validation_0-auc:1.00000 295s [14] validation_0-auc:1.00000 295s [15] validation_0-auc:1.00000 295s [16] validation_0-auc:1.00000 296s ========================================== 296s Running case sklearn_parallel.py... 297s Parallel Parameter optimization 297s Fitting 5 folds for each of 9 candidates, totalling 45 fits 304s 0.688555675183378 304s {'max_depth': 4, 'n_estimators': 50} 304s Exception ignored in: 304s Traceback (most recent call last): 304s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 304s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 304s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 304s ChildProcessError: [Errno 10] No child processes 304s Exception ignored in: 304s Traceback (most recent call last): 304s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 304s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 304s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 304s ChildProcessError: [Errno 10] No child processes 305s ========================================== 305s Skip case spark_estimator_examples.py... 305s ========================================== 305s Skip case update_process.py... 305s ========================================== 305s All cases passed. 305s /tmp/autopkgtest.aRHfLo/wrapper.sh: Killing leaked background processes: 2345 305s PID TTY STAT TIME COMMAND 305s 2345 ? R 0:00 /usr/bin/python3 -c from joblib.externals.loky.backend.resource_tracker import main; main(3, False) 305s autopkgtest [19:48:43]: test run-demos: -----------------------] 309s run-demos PASS 309s autopkgtest [19:48:47]: test run-demos: - - - - - - - - - - results - - - - - - - - - - 312s autopkgtest [19:48:50]: @@@@@@@@@@@@@@@@@@@@ summary 312s run-demos PASS