0s autopkgtest [00:54:18]: starting date and time: 2025-05-03 00:54:18+0000 0s autopkgtest [00:54:18]: git checkout: 9986aa8c Merge branch 'skia/fix_network_interface' into 'ubuntu/production' 0s autopkgtest [00:54:18]: host juju-7f2275-prod-proposed-migration-environment-23; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.412zv40f/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:ca-certificates --apt-upgrade xgboost --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=ca-certificates/20250419 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor autopkgtest-ppc64el --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-23@bos03-ppc64el-6.secgroup --name adt-questing-ppc64el-xgboost-20250503-005418-juju-7f2275-prod-proposed-migration-environment-23-0c11d301-66a8-46ec-9395-ad02068c17ec --image adt/ubuntu-questing-ppc64el-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-23 --net-id=net_prod-proposed-migration-ppc64el -e TERM=linux --mirror=http://ftpmaster.internal/ubuntu/ 74s autopkgtest [00:55:32]: testbed dpkg architecture: ppc64el 75s autopkgtest [00:55:33]: testbed apt version: 3.0.0 75s autopkgtest [00:55:33]: @@@@@@@@@@@@@@@@@@@@ test bed setup 75s autopkgtest [00:55:33]: testbed release detected to be: None 76s autopkgtest [00:55:34]: updating testbed package index (apt update) 76s Get:1 http://ftpmaster.internal/ubuntu questing-proposed InRelease [110 kB] 76s Hit:2 http://ftpmaster.internal/ubuntu questing InRelease 77s Hit:3 http://ftpmaster.internal/ubuntu questing-updates InRelease 77s Hit:4 http://ftpmaster.internal/ubuntu questing-security InRelease 77s Get:5 http://ftpmaster.internal/ubuntu questing-proposed/multiverse Sources [43.4 kB] 77s Get:6 http://ftpmaster.internal/ubuntu questing-proposed/universe Sources [1934 kB] 77s Get:7 http://ftpmaster.internal/ubuntu questing-proposed/main Sources [169 kB] 77s Get:8 http://ftpmaster.internal/ubuntu questing-proposed/main ppc64el Packages [221 kB] 77s Get:9 http://ftpmaster.internal/ubuntu questing-proposed/universe ppc64el Packages [1424 kB] 77s Get:10 http://ftpmaster.internal/ubuntu questing-proposed/multiverse ppc64el Packages [14.0 kB] 78s Fetched 3916 kB in 1s (2632 kB/s) 79s Reading package lists... 80s autopkgtest [00:55:38]: upgrading testbed (apt dist-upgrade and autopurge) 80s Reading package lists... 80s Building dependency tree... 80s Reading state information... 81s Calculating upgrade...Starting pkgProblemResolver with broken count: 0 81s Starting 2 pkgProblemResolver with broken count: 0 81s Done 81s Entering ResolveByKeep 82s 82s Calculating upgrade... 82s The following packages will be upgraded: 82s ca-certificates ed fwupd htop libftdi1-2 libfwupd3 libnpth0t64 libnvme1t64 82s libsensors-config libsensors5 liburcu8t64 nano usb.ids 82s 13 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 82s Need to get 3155 kB of archives. 82s After this operation, 3808 kB disk space will be freed. 82s Get:1 http://ftpmaster.internal/ubuntu questing/main ppc64el libnpth0t64 ppc64el 1.8-3 [9514 B] 82s Get:2 http://ftpmaster.internal/ubuntu questing-proposed/main ppc64el ca-certificates all 20250419 [163 kB] 82s Get:3 http://ftpmaster.internal/ubuntu questing/main ppc64el ed ppc64el 1.21.1-1 [65.5 kB] 82s Get:4 http://ftpmaster.internal/ubuntu questing/main ppc64el libsensors-config all 1:3.6.2-2 [6756 B] 82s Get:5 http://ftpmaster.internal/ubuntu questing/main ppc64el libsensors5 ppc64el 1:3.6.2-2 [34.4 kB] 82s Get:6 http://ftpmaster.internal/ubuntu questing/main ppc64el liburcu8t64 ppc64el 0.15.2-2 [72.7 kB] 83s Get:7 http://ftpmaster.internal/ubuntu questing/main ppc64el nano ppc64el 8.4-1 [331 kB] 83s Get:8 http://ftpmaster.internal/ubuntu questing/main ppc64el usb.ids all 2025.04.01-1 [223 kB] 83s Get:9 http://ftpmaster.internal/ubuntu questing/main ppc64el fwupd ppc64el 2.0.8-3 [1739 kB] 83s Get:10 http://ftpmaster.internal/ubuntu questing/main ppc64el libfwupd3 ppc64el 2.0.8-3 [139 kB] 83s Get:11 http://ftpmaster.internal/ubuntu questing/main ppc64el htop ppc64el 3.4.1-4 [230 kB] 83s Get:12 http://ftpmaster.internal/ubuntu questing/main ppc64el libftdi1-2 ppc64el 1.5-10 [34.3 kB] 83s Get:13 http://ftpmaster.internal/ubuntu questing/main ppc64el libnvme1t64 ppc64el 1.13-2 [107 kB] 83s Preconfiguring packages ... 84s Fetched 3155 kB in 1s (3073 kB/s) 84s (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 ... 107206 files and directories currently installed.) 84s Preparing to unpack .../libnpth0t64_1.8-3_ppc64el.deb ... 84s Unpacking libnpth0t64:ppc64el (1.8-3) over (1.8-2) ... 84s Setting up libnpth0t64:ppc64el (1.8-3) ... 85s (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 ... 107206 files and directories currently installed.) 85s Preparing to unpack .../00-ca-certificates_20250419_all.deb ... 85s Unpacking ca-certificates (20250419) over (20241223) ... 85s Preparing to unpack .../01-ed_1.21.1-1_ppc64el.deb ... 85s Unpacking ed (1.21.1-1) over (1.21-1) ... 85s Preparing to unpack .../02-libsensors-config_1%3a3.6.2-2_all.deb ... 85s Unpacking libsensors-config (1:3.6.2-2) over (1:3.6.0-10) ... 85s Preparing to unpack .../03-libsensors5_1%3a3.6.2-2_ppc64el.deb ... 85s Unpacking libsensors5:ppc64el (1:3.6.2-2) over (1:3.6.0-10) ... 85s Preparing to unpack .../04-liburcu8t64_0.15.2-2_ppc64el.deb ... 85s Unpacking liburcu8t64:ppc64el (0.15.2-2) over (0.15.1-1) ... 85s Preparing to unpack .../05-nano_8.4-1_ppc64el.deb ... 85s Unpacking nano (8.4-1) over (8.3-1) ... 85s Preparing to unpack .../06-usb.ids_2025.04.01-1_all.deb ... 85s Unpacking usb.ids (2025.04.01-1) over (2025.01.14-1) ... 85s Preparing to unpack .../07-fwupd_2.0.8-3_ppc64el.deb ... 85s Unpacking fwupd (2.0.8-3) over (2.0.7-1) ... 85s Preparing to unpack .../08-libfwupd3_2.0.8-3_ppc64el.deb ... 85s Unpacking libfwupd3:ppc64el (2.0.8-3) over (2.0.7-1) ... 85s Preparing to unpack .../09-htop_3.4.1-4_ppc64el.deb ... 85s Unpacking htop (3.4.1-4) over (3.4.0-2) ... 85s Preparing to unpack .../10-libftdi1-2_1.5-10_ppc64el.deb ... 85s Unpacking libftdi1-2:ppc64el (1.5-10) over (1.5-8build1) ... 85s Preparing to unpack .../11-libnvme1t64_1.13-2_ppc64el.deb ... 85s Unpacking libnvme1t64 (1.13-2) over (1.11.1-2) ... 86s Setting up liburcu8t64:ppc64el (0.15.2-2) ... 86s Setting up htop (3.4.1-4) ... 86s Setting up libsensors-config (1:3.6.2-2) ... 86s Installing new version of config file /etc/sensors3.conf ... 86s Setting up libfwupd3:ppc64el (2.0.8-3) ... 86s Setting up libftdi1-2:ppc64el (1.5-10) ... 86s Setting up ca-certificates (20250419) ... 88s Updating certificates in /etc/ssl/certs... 89s rehash: warning: skipping ca-certificates.crt, it does not contain exactly one certificate or CRL 89s 2 added, 4 removed; done. 89s Setting up libnvme1t64 (1.13-2) ... 89s Setting up ed (1.21.1-1) ... 89s Setting up usb.ids (2025.04.01-1) ... 89s Setting up libsensors5:ppc64el (1:3.6.2-2) ... 89s Setting up nano (8.4-1) ... 89s Installing new version of config file /etc/nanorc ... 89s Setting up fwupd (2.0.8-3) ... 89s fwupd-refresh.service is a disabled or a static unit not running, not starting it. 89s fwupd.service is a disabled or a static unit not running, not starting it. 90s Processing triggers for man-db (2.13.0-1) ... 91s Processing triggers for dbus (1.16.2-2ubuntu1) ... 91s Processing triggers for install-info (7.1.1-1) ... 91s Processing triggers for libc-bin (2.41-6ubuntu1) ... 91s Processing triggers for ca-certificates (20250419) ... 91s Updating certificates in /etc/ssl/certs... 92s 0 added, 0 removed; done. 92s Running hooks in /etc/ca-certificates/update.d... 92s done. 92s Reading package lists... 93s Building dependency tree... 93s Reading state information... 93s Starting pkgProblemResolver with broken count: 0 93s Starting 2 pkgProblemResolver with broken count: 0 93s Done 93s Solving dependencies... 93s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 94s autopkgtest [00:55:52]: rebooting testbed after setup commands that affected boot 128s autopkgtest-virt-ssh: WARNING: ssh connection failed. Retrying in 3 seconds... 137s autopkgtest [00:56:35]: testbed running kernel: Linux 6.14.0-15-generic #15-Ubuntu SMP Sun Apr 6 14:52:42 UTC 2025 139s autopkgtest [00:56:37]: @@@@@@@@@@@@@@@@@@@@ apt-source xgboost 143s Get:1 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (dsc) [2340 B] 143s Get:2 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (tar) [2138 kB] 143s Get:3 http://ftpmaster.internal/ubuntu questing/universe xgboost 2.1.4-1build1 (diff) [23.2 kB] 143s gpgv: Signature made Wed Mar 5 01:20:21 2025 UTC 143s gpgv: using RSA key 25E3FF2D7F469DBE7D0D4E50AFCFEC8E669CE1C2 143s gpgv: Can't check signature: No public key 143s dpkg-source: warning: cannot verify inline signature for ./xgboost_2.1.4-1build1.dsc: no acceptable signature found 144s autopkgtest [00:56:42]: testing package xgboost version 2.1.4-1build1 144s autopkgtest [00:56:42]: build not needed 145s autopkgtest [00:56:43]: test run-demos: preparing testbed 145s Reading package lists... 145s Building dependency tree... 145s Reading state information... 146s Starting pkgProblemResolver with broken count: 0 146s Starting 2 pkgProblemResolver with broken count: 0 146s Done 146s The following NEW packages will be installed: 146s blt fontconfig-config fonts-dejavu-core fonts-dejavu-mono fonts-lyx libblas3 146s libdeflate0 libdmlc0t64 libfontconfig1 libgfortran5 libgomp1 libgraphite2-3 146s libharfbuzz0b libimagequant0 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery 146s libjs-jquery-ui liblapack3 liblbfgsb0 liblcms2-2 liblerc4 libopenjp2-7 146s libqhull-r8.0 libraqm0 libsharpyuv0 libtcl8.6 libtiff6 libtk8.6 libwebp7 146s libwebpdemux2 libwebpmux3 libxft2 libxgboost-dev libxgboost0 libxrender1 146s libxslt1.1 libxss1 python-matplotlib-data python3-brotli python3-contourpy 146s python3-cycler python3-dateutil python3-decorator python3-fonttools 146s python3-fs python3-joblib python3-kiwisolver python3-lxml python3-lz4 146s python3-matplotlib python3-mpmath python3-numpy python3-numpy-dev 146s python3-packaging python3-pandas python3-pandas-lib python3-pil 146s python3-pil.imagetk python3-platformdirs python3-pytz python3-scipy 146s python3-sklearn python3-sklearn-lib python3-sympy python3-threadpoolctl 146s python3-tk python3-tz python3-ufolib2 python3-unicodedata2 python3-xgboost 146s python3.13-tk tk8.6-blt2.5 unicode-data x11-common 146s 0 upgraded, 76 newly installed, 0 to remove and 0 not upgraded. 146s Need to get 93.0 MB of archives. 146s After this operation, 412 MB of additional disk space will be used. 146s Get:1 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-numpy-dev ppc64el 1:2.2.3+ds-5 [154 kB] 147s Get:2 http://ftpmaster.internal/ubuntu questing/main ppc64el libblas3 ppc64el 3.12.1-2 [239 kB] 147s Get:3 http://ftpmaster.internal/ubuntu questing/main ppc64el libgfortran5 ppc64el 15-20250404-0ubuntu1 [615 kB] 147s Get:4 http://ftpmaster.internal/ubuntu questing/main ppc64el liblapack3 ppc64el 3.12.1-2 [2813 kB] 147s Get:5 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-numpy ppc64el 1:2.2.3+ds-5 [4835 kB] 147s Get:6 http://ftpmaster.internal/ubuntu questing/main ppc64el libtcl8.6 ppc64el 8.6.16+dfsg-1 [1201 kB] 147s Get:7 http://ftpmaster.internal/ubuntu questing/main ppc64el fonts-dejavu-mono all 2.37-8 [502 kB] 147s Get:8 http://ftpmaster.internal/ubuntu questing/main ppc64el fonts-dejavu-core all 2.37-8 [835 kB] 147s Get:9 http://ftpmaster.internal/ubuntu questing/main ppc64el fontconfig-config ppc64el 2.15.0-2.2ubuntu1 [37.9 kB] 147s Get:10 http://ftpmaster.internal/ubuntu questing/main ppc64el libfontconfig1 ppc64el 2.15.0-2.2ubuntu1 [187 kB] 147s Get:11 http://ftpmaster.internal/ubuntu questing/main ppc64el libxrender1 ppc64el 1:0.9.10-1.1build1 [23.1 kB] 147s Get:12 http://ftpmaster.internal/ubuntu questing/main ppc64el libxft2 ppc64el 2.3.6-1build1 [61.5 kB] 147s Get:13 http://ftpmaster.internal/ubuntu questing/main ppc64el x11-common all 1:7.7+23ubuntu4 [21.8 kB] 147s Get:14 http://ftpmaster.internal/ubuntu questing/main ppc64el libxss1 ppc64el 1:1.2.3-1build3 [7980 B] 147s Get:15 http://ftpmaster.internal/ubuntu questing/main ppc64el libtk8.6 ppc64el 8.6.16-1 [946 kB] 147s Get:16 http://ftpmaster.internal/ubuntu questing/main ppc64el tk8.6-blt2.5 ppc64el 2.5.3+dfsg-8 [778 kB] 147s Get:17 http://ftpmaster.internal/ubuntu questing/main ppc64el blt ppc64el 2.5.3+dfsg-8 [4830 B] 147s Get:18 http://ftpmaster.internal/ubuntu questing/universe ppc64el fonts-lyx all 2.4.3-1 [171 kB] 147s Get:19 http://ftpmaster.internal/ubuntu questing/main ppc64el libdeflate0 ppc64el 1.23-1 [63.4 kB] 147s Get:20 http://ftpmaster.internal/ubuntu questing/main ppc64el libgomp1 ppc64el 15-20250404-0ubuntu1 [168 kB] 147s Get:21 http://ftpmaster.internal/ubuntu questing/universe ppc64el libdmlc0t64 ppc64el 0.5+git20240614.1334185-1 [194 kB] 147s Get:22 http://ftpmaster.internal/ubuntu questing/main ppc64el libgraphite2-3 ppc64el 1.3.14-2ubuntu1 [84.6 kB] 147s Get:23 http://ftpmaster.internal/ubuntu questing/main ppc64el libharfbuzz0b ppc64el 10.2.0-1 [598 kB] 147s Get:24 http://ftpmaster.internal/ubuntu questing/main ppc64el libimagequant0 ppc64el 2.18.0-1build1 [43.2 kB] 147s Get:25 http://ftpmaster.internal/ubuntu questing/main ppc64el libjpeg-turbo8 ppc64el 2.1.5-3ubuntu2 [215 kB] 147s Get:26 http://ftpmaster.internal/ubuntu questing/main ppc64el libjpeg8 ppc64el 8c-2ubuntu11 [2148 B] 147s Get:27 http://ftpmaster.internal/ubuntu questing/main ppc64el libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [328 kB] 147s Get:28 http://ftpmaster.internal/ubuntu questing/universe ppc64el libjs-jquery-ui all 1.13.2+dfsg-1 [252 kB] 147s Get:29 http://ftpmaster.internal/ubuntu questing/universe ppc64el liblbfgsb0 ppc64el 3.0+dfsg.4-1build1 [33.0 kB] 147s Get:30 http://ftpmaster.internal/ubuntu questing/main ppc64el liblcms2-2 ppc64el 2.16-2 [243 kB] 147s Get:31 http://ftpmaster.internal/ubuntu questing/main ppc64el liblerc4 ppc64el 4.0.0+ds-5ubuntu1 [298 kB] 147s Get:32 http://ftpmaster.internal/ubuntu questing/universe ppc64el libqhull-r8.0 ppc64el 2020.2-6build1 [225 kB] 147s Get:33 http://ftpmaster.internal/ubuntu questing/main ppc64el libraqm0 ppc64el 0.10.2-1 [19.2 kB] 147s Get:34 http://ftpmaster.internal/ubuntu questing/main ppc64el libsharpyuv0 ppc64el 1.5.0-0.1 [22.3 kB] 147s Get:35 http://ftpmaster.internal/ubuntu questing/main ppc64el libjbig0 ppc64el 2.1-6.1ubuntu2 [35.9 kB] 147s Get:36 http://ftpmaster.internal/ubuntu questing/main ppc64el libwebp7 ppc64el 1.5.0-0.1 [315 kB] 147s Get:37 http://ftpmaster.internal/ubuntu questing/main ppc64el libtiff6 ppc64el 4.7.0-3ubuntu1 [283 kB] 148s Get:38 http://ftpmaster.internal/ubuntu questing/main ppc64el libwebpdemux2 ppc64el 1.5.0-0.1 [14.6 kB] 148s Get:39 http://ftpmaster.internal/ubuntu questing/main ppc64el libwebpmux3 ppc64el 1.5.0-0.1 [31.1 kB] 148s Get:40 http://ftpmaster.internal/ubuntu questing/universe ppc64el libxgboost0 ppc64el 2.1.4-1build1 [2439 kB] 148s Get:41 http://ftpmaster.internal/ubuntu questing/universe ppc64el libxgboost-dev ppc64el 2.1.4-1build1 [74.3 kB] 148s Get:42 http://ftpmaster.internal/ubuntu questing/main ppc64el libxslt1.1 ppc64el 1.1.39-0exp1ubuntu4 [191 kB] 148s Get:43 http://ftpmaster.internal/ubuntu questing/universe ppc64el python-matplotlib-data all 3.8.3-7build1 [2934 kB] 148s Get:44 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-brotli ppc64el 1.1.0-2build4 [422 kB] 148s Get:45 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-contourpy ppc64el 1.3.1-1build1 [218 kB] 148s Get:46 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-cycler all 0.12.1-1 [9716 B] 148s Get:47 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-dateutil all 2.9.0-4 [80.3 kB] 148s Get:48 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-decorator all 5.1.1-5 [10.1 kB] 148s Get:49 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-platformdirs all 4.3.6-1 [16.8 kB] 148s Get:50 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-fs all 2.4.16-7 [90.8 kB] 148s Get:51 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-lxml ppc64el 5.3.2-1 [1393 kB] 148s Get:52 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-lz4 ppc64el 4.4.0+dfsg-1build1 [28.1 kB] 148s Get:53 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-scipy ppc64el 1.14.1-4ubuntu2 [19.4 MB] 148s Get:54 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-mpmath all 1.3.0-1 [425 kB] 148s Get:55 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-sympy all 1.13.3-5 [4229 kB] 148s Get:56 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-ufolib2 all 0.17.0+dfsg1-1 [33.5 kB] 148s Get:57 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-unicodedata2 ppc64el 15.1.0+ds-1build3 [361 kB] 148s Get:58 http://ftpmaster.internal/ubuntu questing/universe ppc64el unicode-data all 15.1.0-1 [8878 kB] 149s Get:59 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-fonttools ppc64el 4.55.3-2build1 [1521 kB] 149s Get:60 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-joblib all 1.4.2-3 [205 kB] 149s Get:61 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-kiwisolver ppc64el 1.4.7-3build1 [59.5 kB] 149s Get:62 http://ftpmaster.internal/ubuntu questing/main ppc64el libopenjp2-7 ppc64el 2.5.3-2 [248 kB] 149s Get:63 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-pil ppc64el 11.1.0-5build1 [601 kB] 149s Get:64 http://ftpmaster.internal/ubuntu questing/main ppc64el python3.13-tk ppc64el 3.13.3-1 [107 kB] 149s Get:65 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-tk ppc64el 3.13.3-1 [9854 B] 149s Get:66 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-pil.imagetk ppc64el 11.1.0-5build1 [10.3 kB] 149s Get:67 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-packaging all 24.2-1 [51.5 kB] 149s Get:68 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-matplotlib ppc64el 3.8.3-7build1 [17.4 MB] 149s Get:69 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-pytz all 2025.1-3 [162 kB] 149s Get:70 http://ftpmaster.internal/ubuntu questing/main ppc64el python3-tz all 2025.1-3 [1866 B] 149s Get:71 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-pandas-lib ppc64el 2.2.3+dfsg-8build1 [4871 kB] 149s Get:72 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-pandas all 2.2.3+dfsg-8build1 [3112 kB] 149s Get:73 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-threadpoolctl all 3.1.0-1 [21.3 kB] 149s Get:74 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-sklearn-lib ppc64el 1.4.2+dfsg-8 [4129 kB] 149s Get:75 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-sklearn all 1.4.2+dfsg-8 [2258 kB] 149s Get:76 http://ftpmaster.internal/ubuntu questing/universe ppc64el python3-xgboost ppc64el 2.1.4-1build1 [119 kB] 150s Fetched 93.0 MB in 3s (28.6 MB/s) 150s Selecting previously unselected package python3-numpy-dev:ppc64el. 150s (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 ... 107203 files and directories currently installed.) 150s Preparing to unpack .../00-python3-numpy-dev_1%3a2.2.3+ds-5_ppc64el.deb ... 150s Unpacking python3-numpy-dev:ppc64el (1:2.2.3+ds-5) ... 150s Selecting previously unselected package libblas3:ppc64el. 150s Preparing to unpack .../01-libblas3_3.12.1-2_ppc64el.deb ... 150s Unpacking libblas3:ppc64el (3.12.1-2) ... 150s Selecting previously unselected package libgfortran5:ppc64el. 150s Preparing to 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python3-fs (2.4.16-7) ... 157s Setting up unicode-data (15.1.0-1) ... 157s Setting up python3-decorator (5.1.1-5) ... 157s Setting up libblas3:ppc64el (3.12.1-2) ... 157s update-alternatives: using /usr/lib/powerpc64le-linux-gnu/blas/libblas.so.3 to provide /usr/lib/powerpc64le-linux-gnu/libblas.so.3 (libblas.so.3-powerpc64le-linux-gnu) in auto mode 157s Setting up python3-packaging (24.2-1) ... 158s Setting up python3-brotli (1.1.0-2build4) ... 158s Setting up python3-cycler (0.12.1-1) ... 158s Setting up libimagequant0:ppc64el (2.18.0-1build1) ... 158s Setting up fonts-dejavu-mono (2.37-8) ... 158s Setting up python3-kiwisolver (1.4.7-3build1) ... 158s Setting up python3-numpy-dev:ppc64el (1:2.2.3+ds-5) ... 158s Setting up libtcl8.6:ppc64el (8.6.16+dfsg-1) ... 158s Setting up fonts-dejavu-core (2.37-8) ... 158s Setting up libjpeg-turbo8:ppc64el (2.1.5-3ubuntu2) ... 158s Setting up libgfortran5:ppc64el (15-20250404-0ubuntu1) ... 158s Setting up libwebp7:ppc64el (1.5.0-0.1) ... 158s 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Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... 168s Setting up libraqm0:ppc64el (0.10.2-1) ... 168s Setting up python3-numpy (1:2.2.3+ds-5) ... 170s Setting up python3-lxml:ppc64el (5.3.2-1) ... 170s Setting up libtiff6:ppc64el (4.7.0-3ubuntu1) ... 170s Setting up libxgboost0 (2.1.4-1build1) ... 170s Setting up python3-contourpy (1.3.1-1build1) ... 170s Setting up libfontconfig1:ppc64el (2.15.0-2.2ubuntu1) ... 170s Setting up liblbfgsb0:ppc64el (3.0+dfsg.4-1build1) ... 170s Setting up libxft2:ppc64el (2.3.6-1build1) ... 170s Setting up python3-scipy (1.14.1-4ubuntu2) ... 174s Setting up libtk8.6:ppc64el (8.6.16-1) ... 174s Setting up python3-pandas-lib:ppc64el (2.2.3+dfsg-8build1) ... 174s Setting up python3-sklearn-lib:ppc64el (1.4.2+dfsg-8) ... 174s Setting up python3.13-tk (3.13.3-1) ... 174s Setting up python3-pil:ppc64el (11.1.0-5build1) ... 174s Setting up python3-xgboost (2.1.4-1build1) ... 175s Setting up python3-pandas (2.2.3+dfsg-8build1) ... 180s Setting up libxgboost-dev (2.1.4-1build1) ... 180s Setting up python3-sklearn (1.4.2+dfsg-8) ... 183s Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... 183s Setting up blt (2.5.3+dfsg-8) ... 183s Setting up python3-tk:ppc64el (3.13.3-1) ... 183s Setting up python3-pil.imagetk:ppc64el (11.1.0-5build1) ... 183s Setting up python3-fonttools (4.55.3-2build1) ... 184s Setting up python3-ufolib2 (0.17.0+dfsg1-1) ... 184s Setting up python3-matplotlib (3.8.3-7build1) ... 186s Processing triggers for libc-bin (2.41-6ubuntu1) ... 186s Processing triggers for man-db (2.13.0-1) ... 188s autopkgtest [00:57:26]: test run-demos: [----------------------- 189s ========================================== 189s Running case basic_walkthrough.py... 190s [0] eval-logloss:0.22646 train-logloss:0.23316 190s [1] eval-logloss:0.13776 train-logloss:0.13654 190s error=0.021726 190s ========================================== 190s Running case boost_from_prediction.py... 191s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 191s warnings.warn(msg, FutureWarning) 191s start running example to start from a initial prediction 191s [0] eval-logloss:0.22646 train-logloss:0.23316 191s this is result of running from initial prediction 191s [0] eval-logloss:0.13776 train-logloss:0.13654 191s ========================================== 191s Running case callbacks.py... 193s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [00:57:31] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 193s warnings.warn(smsg, UserWarning) 193s [0] Train-error:0.03052 Train-rmse:0.35870 Valid-error:0.06993 Valid-rmse:0.37215 193s [1] Train-error:0.01174 Train-rmse:0.27804 Valid-error:0.04895 Valid-rmse:0.29761 193s [2] Train-error:0.01174 Train-rmse:0.21911 Valid-error:0.04895 Valid-rmse:0.25064 193s [3] Train-error:0.00939 Train-rmse:0.17913 Valid-error:0.02797 Valid-rmse:0.21447 193s [4] Train-error:0.00939 Train-rmse:0.14893 Valid-error:0.02797 Valid-rmse:0.19740 193s [5] Train-error:0.00939 Train-rmse:0.12816 Valid-error:0.03497 Valid-rmse:0.18098 193s [6] Train-error:0.00704 Train-rmse:0.11060 Valid-error:0.03497 Valid-rmse:0.17131 193s [7] Train-error:0.00704 Train-rmse:0.09947 Valid-error:0.03497 Valid-rmse:0.16077 193s [8] Train-error:0.00469 Train-rmse:0.08816 Valid-error:0.02797 Valid-rmse:0.14865 193s [9] Train-error:0.00469 Train-rmse:0.07863 Valid-error:0.03497 Valid-rmse:0.15073 193s [10] Train-error:0.00469 Train-rmse:0.07164 Valid-error:0.02098 Valid-rmse:0.14161 193s [11] Train-error:0.00469 Train-rmse:0.06692 Valid-error:0.01399 Valid-rmse:0.14028 193s [12] Train-error:0.00235 Train-rmse:0.06216 Valid-error:0.01399 Valid-rmse:0.13727 193s [13] Train-error:0.00235 Train-rmse:0.05811 Valid-error:0.01399 Valid-rmse:0.13495 193s [14] Train-error:0.00000 Train-rmse:0.05532 Valid-error:0.02098 Valid-rmse:0.13500 193s [15] Train-error:0.00000 Train-rmse:0.05178 Valid-error:0.02098 Valid-rmse:0.13226 193s [16] Train-error:0.00000 Train-rmse:0.04924 Valid-error:0.02098 Valid-rmse:0.13329 193s [17] Train-error:0.00000 Train-rmse:0.04656 Valid-error:0.01399 Valid-rmse:0.13183 193s [18] Train-error:0.00000 Train-rmse:0.04437 Valid-error:0.01399 Valid-rmse:0.13353 194s [19] Train-error:0.00000 Train-rmse:0.04272 Valid-error:0.02098 Valid-rmse:0.13468 194s [20] Train-error:0.00000 Train-rmse:0.04030 Valid-error:0.02098 Valid-rmse:0.13419 194s [21] Train-error:0.00000 Train-rmse:0.03869 Valid-error:0.02797 Valid-rmse:0.13543 194s [22] Train-error:0.00000 Train-rmse:0.03548 Valid-error:0.03497 Valid-rmse:0.13316 194s [23] Train-error:0.00000 Train-rmse:0.03444 Valid-error:0.03497 Valid-rmse:0.13637 194s [24] Train-error:0.00000 Train-rmse:0.03369 Valid-error:0.04196 Valid-rmse:0.13663 194s [25] Train-error:0.00000 Train-rmse:0.03213 Valid-error:0.03497 Valid-rmse:0.13386 194s [26] Train-error:0.00000 Train-rmse:0.03100 Valid-error:0.03497 Valid-rmse:0.13180 194s [27] Train-error:0.00000 Train-rmse:0.03036 Valid-error:0.03497 Valid-rmse:0.13263 194s [28] Train-error:0.00000 Train-rmse:0.02957 Valid-error:0.04196 Valid-rmse:0.13493 194s [29] Train-error:0.00000 Train-rmse:0.02866 Valid-error:0.03497 Valid-rmse:0.13487 194s [30] Train-error:0.00000 Train-rmse:0.02851 Valid-error:0.04196 Valid-rmse:0.13384 194s [31] Train-error:0.00000 Train-rmse:0.02721 Valid-error:0.02797 Valid-rmse:0.13117 194s [32] Train-error:0.00000 Train-rmse:0.02615 Valid-error:0.03497 Valid-rmse:0.13188 194s [33] Train-error:0.00000 Train-rmse:0.02559 Valid-error:0.03497 Valid-rmse:0.13096 194s [34] Train-error:0.00000 Train-rmse:0.02520 Valid-error:0.04196 Valid-rmse:0.13283 194s [35] Train-error:0.00000 Train-rmse:0.02438 Valid-error:0.03497 Valid-rmse:0.13220 194s [36] Train-error:0.00000 Train-rmse:0.02356 Valid-error:0.03497 Valid-rmse:0.13030 194s [37] Train-error:0.00000 Train-rmse:0.02348 Valid-error:0.03497 Valid-rmse:0.12942 194s [38] Train-error:0.00000 Train-rmse:0.02337 Valid-error:0.03497 Valid-rmse:0.12955 194s [39] Train-error:0.00000 Train-rmse:0.02265 Valid-error:0.02797 Valid-rmse:0.12785 194s [40] Train-error:0.00000 Train-rmse:0.02283 Valid-error:0.03497 Valid-rmse:0.12889 194s [41] Train-error:0.00000 Train-rmse:0.02255 Valid-error:0.03497 Valid-rmse:0.13066 194s [42] Train-error:0.00000 Train-rmse:0.02190 Valid-error:0.03497 Valid-rmse:0.12905 194s [43] Train-error:0.00000 Train-rmse:0.02173 Valid-error:0.03497 Valid-rmse:0.12833 194s [44] Train-error:0.00000 Train-rmse:0.02180 Valid-error:0.03497 Valid-rmse:0.12884 194s [45] Train-error:0.00000 Train-rmse:0.02153 Valid-error:0.03497 Valid-rmse:0.13050 195s [46] Train-error:0.00000 Train-rmse:0.02149 Valid-error:0.03497 Valid-rmse:0.12927 195s [47] Train-error:0.00000 Train-rmse:0.02134 Valid-error:0.02797 Valid-rmse:0.13012 195s [48] Train-error:0.00000 Train-rmse:0.02119 Valid-error:0.03497 Valid-rmse:0.12936 195s [49] Train-error:0.00000 Train-rmse:0.02124 Valid-error:0.02797 Valid-rmse:0.12989 195s [50] Train-error:0.00000 Train-rmse:0.02116 Valid-error:0.02797 Valid-rmse:0.13014 195s [51] Train-error:0.00000 Train-rmse:0.02107 Valid-error:0.02797 Valid-rmse:0.12953 195s [52] Train-error:0.00000 Train-rmse:0.02121 Valid-error:0.02797 Valid-rmse:0.12976 195s [53] Train-error:0.00000 Train-rmse:0.02080 Valid-error:0.02797 Valid-rmse:0.12903 195s [54] Train-error:0.00000 Train-rmse:0.02060 Valid-error:0.02797 Valid-rmse:0.13032 195s [55] Train-error:0.00000 Train-rmse:0.02069 Valid-error:0.02797 Valid-rmse:0.13027 195s [56] Train-error:0.00000 Train-rmse:0.02039 Valid-error:0.02797 Valid-rmse:0.12900 195s [57] Train-error:0.00000 Train-rmse:0.02031 Valid-error:0.02797 Valid-rmse:0.12845 195s [58] Train-error:0.00000 Train-rmse:0.02047 Valid-error:0.02797 Valid-rmse:0.12928 195s [59] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12865 195s [60] Train-error:0.00000 Train-rmse:0.02027 Valid-error:0.02797 Valid-rmse:0.12884 195s [61] Train-error:0.00000 Train-rmse:0.02023 Valid-error:0.02797 Valid-rmse:0.12917 195s [62] Train-error:0.00000 Train-rmse:0.02013 Valid-error:0.02797 Valid-rmse:0.12947 195s [63] Train-error:0.00000 Train-rmse:0.01986 Valid-error:0.02797 Valid-rmse:0.12827 195s [64] Train-error:0.00000 Train-rmse:0.01980 Valid-error:0.02797 Valid-rmse:0.12780 195s [65] Train-error:0.00000 Train-rmse:0.01971 Valid-error:0.02797 Valid-rmse:0.12888 195s [66] Train-error:0.00000 Train-rmse:0.01980 Valid-error:0.02797 Valid-rmse:0.12928 195s [67] Train-error:0.00000 Train-rmse:0.01977 Valid-error:0.02797 Valid-rmse:0.12962 195s [68] Train-error:0.00000 Train-rmse:0.01969 Valid-error:0.02797 Valid-rmse:0.12991 195s [69] Train-error:0.00000 Train-rmse:0.01940 Valid-error:0.02797 Valid-rmse:0.12920 195s [70] Train-error:0.00000 Train-rmse:0.01941 Valid-error:0.02797 Valid-rmse:0.12825 195s [71] Train-error:0.00000 Train-rmse:0.01936 Valid-error:0.02797 Valid-rmse:0.12785 196s [72] Train-error:0.00000 Train-rmse:0.01950 Valid-error:0.02797 Valid-rmse:0.12858 196s [73] Train-error:0.00000 Train-rmse:0.01921 Valid-error:0.02797 Valid-rmse:0.12791 196s [74] Train-error:0.00000 Train-rmse:0.01914 Valid-error:0.02797 Valid-rmse:0.12832 196s [75] Train-error:0.00000 Train-rmse:0.01912 Valid-error:0.02797 Valid-rmse:0.12821 196s [76] Train-error:0.00000 Train-rmse:0.01906 Valid-error:0.02797 Valid-rmse:0.12814 196s [77] Train-error:0.00000 Train-rmse:0.01897 Valid-error:0.02797 Valid-rmse:0.12845 196s [78] Train-error:0.00000 Train-rmse:0.01875 Valid-error:0.02797 Valid-rmse:0.12734 196s [79] Train-error:0.00000 Train-rmse:0.01873 Valid-error:0.02797 Valid-rmse:0.12765 196s [80] Train-error:0.00000 Train-rmse:0.01866 Valid-error:0.02797 Valid-rmse:0.12793 196s [81] Train-error:0.00000 Train-rmse:0.01869 Valid-error:0.02797 Valid-rmse:0.12708 196s [82] Train-error:0.00000 Train-rmse:0.01844 Valid-error:0.02797 Valid-rmse:0.12642 196s [83] Train-error:0.00000 Train-rmse:0.01857 Valid-error:0.02797 Valid-rmse:0.12709 196s [84] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12674 196s [85] Train-error:0.00000 Train-rmse:0.01862 Valid-error:0.02797 Valid-rmse:0.12712 196s [86] Train-error:0.00000 Train-rmse:0.01853 Valid-error:0.02797 Valid-rmse:0.12754 196s [87] Train-error:0.00000 Train-rmse:0.01829 Valid-error:0.02797 Valid-rmse:0.12693 196s [88] Train-error:0.00000 Train-rmse:0.01821 Valid-error:0.02797 Valid-rmse:0.12788 196s [89] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12782 196s [90] Train-error:0.00000 Train-rmse:0.01816 Valid-error:0.02797 Valid-rmse:0.12768 196s [91] Train-error:0.00000 Train-rmse:0.01809 Valid-error:0.02797 Valid-rmse:0.12797 196s [92] Train-error:0.00000 Train-rmse:0.01807 Valid-error:0.02797 Valid-rmse:0.12768 196s [93] Train-error:0.00000 Train-rmse:0.01798 Valid-error:0.02797 Valid-rmse:0.12858 196s [94] Train-error:0.00000 Train-rmse:0.01776 Valid-error:0.02797 Valid-rmse:0.12801 196s [95] Train-error:0.00000 Train-rmse:0.01786 Valid-error:0.02797 Valid-rmse:0.12804 196s [96] Train-error:0.00000 Train-rmse:0.01779 Valid-error:0.02797 Valid-rmse:0.12844 196s [97] Train-error:0.00000 Train-rmse:0.01778 Valid-error:0.02797 Valid-rmse:0.12875 197s [98] Train-error:0.00000 Train-rmse:0.01759 Valid-error:0.02797 Valid-rmse:0.12806 197s [99] Train-error:0.00000 Train-rmse:0.01771 Valid-error:0.02797 Valid-rmse:0.12865 197s ========================================== 197s Skip case cat_in_the_dat.py... 197s ========================================== 197s Running case cat_pipeline.py... 198s ========================================== 198s Running case categorical.py... 199s [0] validation_0-rmse:2.94171 199s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [00:57:37] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 199s warnings.warn(smsg, UserWarning) 199s [1] validation_0-rmse:2.40095 199s [2] validation_0-rmse:1.96121 199s [3] validation_0-rmse:1.61285 199s [4] validation_0-rmse:1.35854 199s [5] validation_0-rmse:1.12286 199s [6] validation_0-rmse:0.96789 199s [7] validation_0-rmse:0.79707 199s [8] validation_0-rmse:0.66201 199s [9] validation_0-rmse:0.55282 199s [10] validation_0-rmse:0.46038 199s [11] validation_0-rmse:0.38278 199s [12] validation_0-rmse:0.32840 199s [13] validation_0-rmse:0.27462 199s [14] validation_0-rmse:0.23398 199s [15] validation_0-rmse:0.19823 199s [16] validation_0-rmse:0.16984 199s [17] validation_0-rmse:0.14636 199s [18] validation_0-rmse:0.12447 199s [19] validation_0-rmse:0.10444 199s [20] validation_0-rmse:0.08984 199s [21] validation_0-rmse:0.07610 199s [22] validation_0-rmse:0.06622 199s [23] validation_0-rmse:0.05653 199s [24] validation_0-rmse:0.04906 199s [25] validation_0-rmse:0.04173 199s [26] validation_0-rmse:0.03550 199s [27] validation_0-rmse:0.03046 199s [28] validation_0-rmse:0.02585 199s [29] validation_0-rmse:0.02187 199s [30] validation_0-rmse:0.01863 199s [31] validation_0-rmse:0.01597 199s [32] validation_0-rmse:0.01361 199s [33] validation_0-rmse:0.01166 199s [34] validation_0-rmse:0.01041 199s [35] validation_0-rmse:0.00909 199s [36] validation_0-rmse:0.00780 199s [37] validation_0-rmse:0.00666 199s [38] validation_0-rmse:0.00569 199s [39] validation_0-rmse:0.00493 199s [40] validation_0-rmse:0.00426 199s [41] validation_0-rmse:0.00365 199s [42] validation_0-rmse:0.00314 199s [43] validation_0-rmse:0.00268 199s [44] validation_0-rmse:0.00233 199s [45] validation_0-rmse:0.00200 199s [46] validation_0-rmse:0.00170 199s [47] validation_0-rmse:0.00148 199s [48] validation_0-rmse:0.00130 199s [49] validation_0-rmse:0.00116 199s [50] validation_0-rmse:0.00100 199s [51] validation_0-rmse:0.00090 199s [52] validation_0-rmse:0.00082 199s [53] validation_0-rmse:0.00075 199s [54] validation_0-rmse:0.00075 199s [55] validation_0-rmse:0.00075 199s [56] validation_0-rmse:0.00075 199s [57] validation_0-rmse:0.00075 199s [58] 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199s [86] validation_0-rmse:0.00075 199s [87] validation_0-rmse:0.00075 199s [88] validation_0-rmse:0.00075 199s [89] validation_0-rmse:0.00075 199s [90] validation_0-rmse:0.00075 199s [91] validation_0-rmse:0.00075 199s [92] validation_0-rmse:0.00075 199s [93] validation_0-rmse:0.00075 199s [94] validation_0-rmse:0.00075 199s [95] validation_0-rmse:0.00075 199s [96] validation_0-rmse:0.00075 199s [97] validation_0-rmse:0.00075 199s [98] validation_0-rmse:0.00075 199s [99] validation_0-rmse:0.00075 199s /usr/lib/python3/dist-packages/xgboost/core.py:158: UserWarning: [00:57:37] WARNING: ./src/context.cc:196: XGBoost is not compiled with CUDA support. 199s warnings.warn(smsg, UserWarning) 199s [0] validation_0-rmse:2.94171 199s [1] validation_0-rmse:2.40095 199s [2] validation_0-rmse:1.96121 199s [3] validation_0-rmse:1.61285 199s [4] validation_0-rmse:1.35854 199s [5] validation_0-rmse:1.12286 199s [6] validation_0-rmse:0.96789 199s [7] validation_0-rmse:0.79707 199s [8] validation_0-rmse:0.66201 199s [9] validation_0-rmse:0.55282 199s [10] validation_0-rmse:0.46038 199s [11] validation_0-rmse:0.38278 199s [12] validation_0-rmse:0.32840 199s [13] validation_0-rmse:0.27462 199s [14] validation_0-rmse:0.23398 199s [15] validation_0-rmse:0.19823 199s [16] validation_0-rmse:0.16984 199s [17] validation_0-rmse:0.14636 199s [18] validation_0-rmse:0.12447 199s [19] validation_0-rmse:0.10444 199s [20] validation_0-rmse:0.08984 199s [21] validation_0-rmse:0.07610 199s [22] validation_0-rmse:0.06622 199s [23] validation_0-rmse:0.05653 199s [24] validation_0-rmse:0.04906 199s [25] validation_0-rmse:0.04173 199s [26] validation_0-rmse:0.03550 199s [27] validation_0-rmse:0.03046 199s [28] validation_0-rmse:0.02585 199s [29] validation_0-rmse:0.02187 199s [30] validation_0-rmse:0.01863 199s [31] validation_0-rmse:0.01597 199s [32] validation_0-rmse:0.01361 199s [33] validation_0-rmse:0.01166 199s [34] validation_0-rmse:0.01041 199s [35] validation_0-rmse:0.00909 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validation_0-logloss:0.00372 200s [64] validation_0-logloss:0.00372 200s [65] validation_0-logloss:0.00372 200s [66] validation_0-logloss:0.00371 200s [67] validation_0-logloss:0.00371 200s [68] validation_0-logloss:0.00371 200s [69] validation_0-logloss:0.00371 200s [70] validation_0-logloss:0.00371 200s [71] validation_0-logloss:0.00371 200s Total boosted rounds: 195 200s [0] validation_0-logloss:0.43281 200s [1] validation_0-logloss:0.30816 200s [2] validation_0-logloss:0.22816 200s [3] validation_0-logloss:0.17470 200s [4] validation_0-logloss:0.13438 200s [5] validation_0-logloss:0.10538 200s [6] validation_0-logloss:0.08467 200s [7] validation_0-logloss:0.06909 200s [8] validation_0-logloss:0.05766 200s [9] validation_0-logloss:0.04842 200s [10] validation_0-logloss:0.04121 200s [11] validation_0-logloss:0.03545 200s [12] validation_0-logloss:0.03077 200s [13] validation_0-logloss:0.02742 200s [14] validation_0-logloss:0.02444 200s [15] validation_0-logloss:0.02208 200s [16] validation_0-logloss:0.01993 200s [17] validation_0-logloss:0.01819 200s [18] validation_0-logloss:0.01676 200s [19] validation_0-logloss:0.01575 200s [20] validation_0-logloss:0.01461 200s [21] validation_0-logloss:0.01383 200s [22] validation_0-logloss:0.01304 200s [23] validation_0-logloss:0.01243 200s [24] validation_0-logloss:0.01179 200s [25] validation_0-logloss:0.01142 200s [26] validation_0-logloss:0.01103 200s [27] validation_0-logloss:0.01066 200s [28] validation_0-logloss:0.01037 200s [29] validation_0-logloss:0.00993 200s [30] validation_0-logloss:0.00966 200s [31] validation_0-logloss:0.00920 200s [32] validation_0-logloss:0.00900 200s [33] validation_0-logloss:0.00876 200s [34] validation_0-logloss:0.00852 200s [35] validation_0-logloss:0.00835 200s [36] validation_0-logloss:0.00810 200s [37] validation_0-logloss:0.00791 200s [38] validation_0-logloss:0.00764 200s [39] validation_0-logloss:0.00753 200s [40] validation_0-logloss:0.00739 200s [41] validation_0-logloss:0.00723 200s [42] validation_0-logloss:0.00706 200s [43] validation_0-logloss:0.00695 200s [44] validation_0-logloss:0.00688 200s [45] validation_0-logloss:0.00671 200s [46] validation_0-logloss:0.00662 200s [47] validation_0-logloss:0.00650 200s [48] validation_0-logloss:0.00637 200s [49] validation_0-logloss:0.00628 200s [50] validation_0-logloss:0.00623 200s [51] validation_0-logloss:0.00618 200s [52] validation_0-logloss:0.00614 200s [53] validation_0-logloss:0.00609 200s [54] validation_0-logloss:0.00600 200s [55] validation_0-logloss:0.00590 200s [56] validation_0-logloss:0.00582 200s [57] validation_0-logloss:0.00578 200s [58] validation_0-logloss:0.00570 200s [59] validation_0-logloss:0.00566 200s [60] validation_0-logloss:0.00563 200s [61] validation_0-logloss:0.00559 200s [62] validation_0-logloss:0.00556 200s [63] validation_0-logloss:0.00553 200s [64] validation_0-logloss:0.00549 200s [65] validation_0-logloss:0.00546 200s [66] 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validation_0-logloss:0.00437 200s [117] validation_0-logloss:0.00435 200s [118] validation_0-logloss:0.00434 200s [119] validation_0-logloss:0.00433 200s [120] validation_0-logloss:0.00431 200s [121] validation_0-logloss:0.00430 200s [122] validation_0-logloss:0.00429 200s [123] validation_0-logloss:0.00427 200s [124] validation_0-logloss:0.00426 200s [125] validation_0-logloss:0.00425 200s [126] validation_0-logloss:0.00423 200s [127] validation_0-logloss:0.00422 200s [128] validation_0-logloss:0.00421 200s [129] validation_0-logloss:0.00420 200s [130] validation_0-logloss:0.00419 200s [131] validation_0-logloss:0.00417 200s [132] validation_0-logloss:0.00416 200s [133] validation_0-logloss:0.00415 200s [134] validation_0-logloss:0.00414 200s [135] validation_0-logloss:0.00413 200s [136] validation_0-logloss:0.00412 200s [137] validation_0-logloss:0.00411 200s [138] validation_0-logloss:0.00410 200s [139] validation_0-logloss:0.00409 200s [140] validation_0-logloss:0.00408 200s [141] validation_0-logloss:0.00407 200s [142] validation_0-logloss:0.00406 200s [143] validation_0-logloss:0.00405 200s [144] validation_0-logloss:0.00404 200s [145] validation_0-logloss:0.00403 200s [146] validation_0-logloss:0.00402 200s [147] validation_0-logloss:0.00401 200s [148] validation_0-logloss:0.00400 200s [149] validation_0-logloss:0.00399 200s [150] validation_0-logloss:0.00398 200s [151] validation_0-logloss:0.00397 200s [152] validation_0-logloss:0.00396 200s [153] validation_0-logloss:0.00396 200s [154] validation_0-logloss:0.00395 200s [155] validation_0-logloss:0.00394 200s [156] validation_0-logloss:0.00393 200s [157] validation_0-logloss:0.00392 200s [158] validation_0-logloss:0.00391 200s [159] validation_0-logloss:0.00391 200s [160] validation_0-logloss:0.00390 200s [161] validation_0-logloss:0.00389 200s [162] validation_0-logloss:0.00388 200s [163] validation_0-logloss:0.00388 200s [164] validation_0-logloss:0.00387 200s [165] validation_0-logloss:0.00386 200s [166] validation_0-logloss:0.00385 200s [167] validation_0-logloss:0.00385 200s [168] validation_0-logloss:0.00384 200s [169] validation_0-logloss:0.00383 200s [170] validation_0-logloss:0.00383 200s [171] validation_0-logloss:0.00382 200s [172] validation_0-logloss:0.00381 200s [173] validation_0-logloss:0.00381 200s [174] validation_0-logloss:0.00380 200s [175] validation_0-logloss:0.00380 200s [176] validation_0-logloss:0.00379 200s [177] validation_0-logloss:0.00379 200s [178] validation_0-logloss:0.00378 200s [179] validation_0-logloss:0.00378 200s [180] validation_0-logloss:0.00377 200s [181] validation_0-logloss:0.00377 200s [182] validation_0-logloss:0.00376 200s [183] validation_0-logloss:0.00376 200s [184] validation_0-logloss:0.00375 200s [185] validation_0-logloss:0.00375 200s [186] validation_0-logloss:0.00374 200s [187] validation_0-logloss:0.00374 200s [188] validation_0-logloss:0.00373 200s [189] validation_0-logloss:0.00373 200s [190] validation_0-logloss:0.00373 200s [191] validation_0-logloss:0.00372 200s [192] validation_0-logloss:0.00372 200s [193] validation_0-logloss:0.00372 200s [194] validation_0-logloss:0.00371 200s [195] validation_0-logloss:0.00371 200s [196] validation_0-logloss:0.00371 200s [197] validation_0-logloss:0.00371 200s [198] validation_0-logloss:0.00371 200s [199] validation_0-logloss:0.00371 200s Total boosted rounds: 195 200s [0] validation_0-logloss:0.43281 200s [1] validation_0-logloss:0.30816 200s [2] validation_0-logloss:0.22816 200s [3] validation_0-logloss:0.17470 200s [4] validation_0-logloss:0.13438 200s [5] validation_0-logloss:0.10538 200s [6] validation_0-logloss:0.08467 200s [7] validation_0-logloss:0.06909 200s [8] validation_0-logloss:0.05766 200s [9] validation_0-logloss:0.04842 200s [10] validation_0-logloss:0.04121 200s [11] validation_0-logloss:0.03545 200s [12] validation_0-logloss:0.03077 200s [13] validation_0-logloss:0.02742 200s [14] validation_0-logloss:0.02444 200s [15] validation_0-logloss:0.02208 200s [16] validation_0-logloss:0.01993 200s [17] validation_0-logloss:0.01819 200s [18] validation_0-logloss:0.01676 200s [19] validation_0-logloss:0.01575 200s [20] validation_0-logloss:0.01461 200s [21] validation_0-logloss:0.01383 200s [22] validation_0-logloss:0.01304 200s [23] validation_0-logloss:0.01243 200s [24] validation_0-logloss:0.01179 200s [25] validation_0-logloss:0.01142 200s [26] validation_0-logloss:0.01103 200s [27] validation_0-logloss:0.01066 200s [28] validation_0-logloss:0.01037 200s [29] validation_0-logloss:0.00993 200s [30] validation_0-logloss:0.00966 200s [31] validation_0-logloss:0.00920 200s [32] validation_0-logloss:0.00900 200s [33] validation_0-logloss:0.00876 200s [34] validation_0-logloss:0.00852 200s [35] validation_0-logloss:0.00835 200s [36] validation_0-logloss:0.00810 200s [37] validation_0-logloss:0.00791 200s [38] validation_0-logloss:0.00764 200s [39] validation_0-logloss:0.00753 200s [40] validation_0-logloss:0.00739 200s [41] validation_0-logloss:0.00723 200s [42] validation_0-logloss:0.00706 200s [43] validation_0-logloss:0.00695 200s [44] validation_0-logloss:0.00688 200s [45] validation_0-logloss:0.00671 200s [46] validation_0-logloss:0.00662 200s [47] validation_0-logloss:0.00650 200s [48] validation_0-logloss:0.00637 200s [49] validation_0-logloss:0.00628 200s [50] validation_0-logloss:0.00623 200s [51] validation_0-logloss:0.00618 200s [52] validation_0-logloss:0.00614 200s [53] validation_0-logloss:0.00609 200s [54] validation_0-logloss:0.00600 200s [55] validation_0-logloss:0.00590 200s [56] validation_0-logloss:0.00582 200s [57] validation_0-logloss:0.00578 200s [58] validation_0-logloss:0.00570 200s [59] validation_0-logloss:0.00566 200s [60] validation_0-logloss:0.00563 200s [61] validation_0-logloss:0.00559 200s [62] validation_0-logloss:0.00556 200s [63] validation_0-logloss:0.00553 200s [64] validation_0-logloss:0.00549 200s [65] validation_0-logloss:0.00546 200s [66] 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validation_0-logloss:0.00437 200s [117] validation_0-logloss:0.00435 200s [118] validation_0-logloss:0.00434 200s [119] validation_0-logloss:0.00433 200s [120] validation_0-logloss:0.00431 200s [121] validation_0-logloss:0.00430 200s [122] validation_0-logloss:0.00429 200s [123] validation_0-logloss:0.00427 200s [124] validation_0-logloss:0.00426 200s [125] validation_0-logloss:0.00425 200s [126] validation_0-logloss:0.00423 200s [127] validation_0-logloss:0.00422 201s [0] validation_0-logloss:0.00421 201s [1] validation_0-logloss:0.00420 201s [2] validation_0-logloss:0.00419 201s [3] validation_0-logloss:0.00417 201s [4] validation_0-logloss:0.00416 201s [5] validation_0-logloss:0.00415 201s [6] validation_0-logloss:0.00414 201s [7] validation_0-logloss:0.00413 201s [8] validation_0-logloss:0.00412 201s [9] validation_0-logloss:0.00411 201s [10] validation_0-logloss:0.00410 201s [11] validation_0-logloss:0.00409 201s [12] validation_0-logloss:0.00408 201s [13] validation_0-logloss:0.00407 201s [14] validation_0-logloss:0.00406 201s [15] validation_0-logloss:0.00405 201s [16] validation_0-logloss:0.00404 201s [17] validation_0-logloss:0.00403 201s [18] validation_0-logloss:0.00402 201s [19] validation_0-logloss:0.00401 201s [20] validation_0-logloss:0.00400 201s [21] validation_0-logloss:0.00399 201s [22] validation_0-logloss:0.00398 201s [23] validation_0-logloss:0.00397 201s [24] validation_0-logloss:0.00396 201s [25] validation_0-logloss:0.00396 201s [26] validation_0-logloss:0.00395 201s [27] validation_0-logloss:0.00394 201s [28] validation_0-logloss:0.00393 201s [29] validation_0-logloss:0.00392 201s [30] validation_0-logloss:0.00391 201s [31] validation_0-logloss:0.00391 201s [32] validation_0-logloss:0.00390 201s [33] validation_0-logloss:0.00389 201s [34] validation_0-logloss:0.00388 201s [35] validation_0-logloss:0.00388 201s [36] validation_0-logloss:0.00387 201s [37] validation_0-logloss:0.00386 201s [38] validation_0-logloss:0.00385 201s [39] validation_0-logloss:0.00385 201s [40] validation_0-logloss:0.00384 201s [41] validation_0-logloss:0.00383 201s [42] validation_0-logloss:0.00383 201s [43] validation_0-logloss:0.00382 201s [44] validation_0-logloss:0.00381 201s [45] validation_0-logloss:0.00381 201s [46] validation_0-logloss:0.00380 201s [47] validation_0-logloss:0.00380 201s [48] validation_0-logloss:0.00379 201s [49] validation_0-logloss:0.00379 201s [50] validation_0-logloss:0.00378 201s [51] validation_0-logloss:0.00378 201s [52] validation_0-logloss:0.00377 201s [53] validation_0-logloss:0.00377 201s [54] validation_0-logloss:0.00376 201s [55] validation_0-logloss:0.00376 201s [56] validation_0-logloss:0.00375 201s [57] validation_0-logloss:0.00375 201s [58] validation_0-logloss:0.00374 201s [59] validation_0-logloss:0.00374 201s [60] validation_0-logloss:0.00373 201s [61] validation_0-logloss:0.00373 201s [62] validation_0-logloss:0.00373 201s [63] validation_0-logloss:0.00372 201s [64] validation_0-logloss:0.00372 201s [65] validation_0-logloss:0.00372 201s [66] validation_0-logloss:0.00371 201s [67] validation_0-logloss:0.00371 201s [68] validation_0-logloss:0.00371 201s [69] validation_0-logloss:0.00371 201s [70] validation_0-logloss:0.00371 201s [71] validation_0-logloss:0.00371 201s Total boosted rounds: 195 201s [0] validation_0-logloss:0.43281 201s [1] validation_0-logloss:0.30816 201s [2] validation_0-logloss:0.22816 201s [3] validation_0-logloss:0.17470 201s [4] validation_0-logloss:0.13438 201s [5] validation_0-logloss:0.10538 201s [6] validation_0-logloss:0.08467 201s [7] validation_0-logloss:0.06909 201s [8] validation_0-logloss:0.05766 201s [9] validation_0-logloss:0.04842 201s [10] validation_0-logloss:0.04121 201s [11] validation_0-logloss:0.03545 201s [12] validation_0-logloss:0.03077 201s [13] validation_0-logloss:0.02742 201s [14] validation_0-logloss:0.02444 201s [15] validation_0-logloss:0.02208 201s [16] validation_0-logloss:0.01993 201s [17] validation_0-logloss:0.01819 201s [18] validation_0-logloss:0.01676 201s [19] validation_0-logloss:0.01575 201s [20] validation_0-logloss:0.01461 201s [21] validation_0-logloss:0.01383 201s [22] validation_0-logloss:0.01304 201s [23] validation_0-logloss:0.01243 201s [24] validation_0-logloss:0.01179 201s [25] validation_0-logloss:0.01142 201s [26] validation_0-logloss:0.01103 201s [27] validation_0-logloss:0.01066 201s [28] validation_0-logloss:0.01037 201s [29] validation_0-logloss:0.00993 201s [30] validation_0-logloss:0.00966 201s [31] validation_0-logloss:0.00920 201s [32] validation_0-logloss:0.00900 201s [33] validation_0-logloss:0.00876 201s [34] validation_0-logloss:0.00852 201s [35] validation_0-logloss:0.00835 201s [36] validation_0-logloss:0.00810 201s [37] validation_0-logloss:0.00791 201s [38] validation_0-logloss:0.00764 201s [39] validation_0-logloss:0.00753 201s [40] validation_0-logloss:0.00739 201s [41] validation_0-logloss:0.00723 201s [42] validation_0-logloss:0.00706 201s [43] validation_0-logloss:0.00695 201s [44] validation_0-logloss:0.00688 201s [45] validation_0-logloss:0.00671 201s [46] validation_0-logloss:0.00662 201s [47] validation_0-logloss:0.00650 201s [48] validation_0-logloss:0.00637 201s [49] validation_0-logloss:0.00628 201s [50] validation_0-logloss:0.00623 201s [51] validation_0-logloss:0.00618 201s [52] validation_0-logloss:0.00614 201s [53] validation_0-logloss:0.00609 201s [54] validation_0-logloss:0.00600 201s [55] validation_0-logloss:0.00590 201s [56] validation_0-logloss:0.00582 201s [57] validation_0-logloss:0.00578 201s [58] validation_0-logloss:0.00570 201s [59] validation_0-logloss:0.00566 201s [60] validation_0-logloss:0.00563 201s [61] validation_0-logloss:0.00559 201s [62] validation_0-logloss:0.00556 201s [63] validation_0-logloss:0.00553 201s [64] validation_0-logloss:0.00549 201s [65] validation_0-logloss:0.00546 201s [66] 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validation_0-logloss:0.00480 201s [92] validation_0-logloss:0.00478 201s [93] validation_0-logloss:0.00476 201s [94] validation_0-logloss:0.00474 201s [95] validation_0-logloss:0.00472 201s [96] validation_0-logloss:0.00470 201s [97] validation_0-logloss:0.00468 201s [98] validation_0-logloss:0.00466 201s [99] validation_0-logloss:0.00464 201s [100] validation_0-logloss:0.00463 201s [101] validation_0-logloss:0.00461 201s [102] validation_0-logloss:0.00459 201s [103] validation_0-logloss:0.00457 201s [104] validation_0-logloss:0.00456 201s [105] validation_0-logloss:0.00454 201s [106] validation_0-logloss:0.00452 201s [107] validation_0-logloss:0.00451 201s [108] validation_0-logloss:0.00449 201s [109] validation_0-logloss:0.00448 201s [110] validation_0-logloss:0.00446 201s [111] validation_0-logloss:0.00444 201s [112] validation_0-logloss:0.00443 201s [113] validation_0-logloss:0.00441 201s [114] validation_0-logloss:0.00440 201s [115] validation_0-logloss:0.00438 201s [116] validation_0-logloss:0.00437 201s [117] validation_0-logloss:0.00435 201s [118] validation_0-logloss:0.00434 201s [119] validation_0-logloss:0.00433 201s [120] validation_0-logloss:0.00431 201s [121] validation_0-logloss:0.00430 201s [122] validation_0-logloss:0.00429 201s [123] validation_0-logloss:0.00427 201s [124] validation_0-logloss:0.00426 201s [125] validation_0-logloss:0.00425 201s [126] validation_0-logloss:0.00423 201s [127] validation_0-logloss:0.00422 201s Total boosted rounds: 128 201s [0] validation_0-logloss:0.43281 201s [1] validation_0-logloss:0.30816 201s [2] validation_0-logloss:0.22816 201s [3] validation_0-logloss:0.17470 201s [4] validation_0-logloss:0.13438 201s [5] validation_0-logloss:0.10538 201s [6] validation_0-logloss:0.08467 201s [7] validation_0-logloss:0.06909 201s [8] validation_0-logloss:0.05766 201s [9] validation_0-logloss:0.04842 201s [10] validation_0-logloss:0.04121 201s [11] validation_0-logloss:0.03545 201s [12] validation_0-logloss:0.03077 201s [13] validation_0-logloss:0.02742 201s [14] validation_0-logloss:0.02444 201s [15] validation_0-logloss:0.02208 201s [16] validation_0-logloss:0.01993 201s [17] validation_0-logloss:0.01819 201s [18] validation_0-logloss:0.01676 201s [19] validation_0-logloss:0.01575 201s [20] validation_0-logloss:0.01461 201s [21] validation_0-logloss:0.01383 201s [22] validation_0-logloss:0.01304 201s [23] validation_0-logloss:0.01243 201s [24] validation_0-logloss:0.01179 201s [25] validation_0-logloss:0.01142 201s [26] validation_0-logloss:0.01103 201s [27] validation_0-logloss:0.01066 201s [28] validation_0-logloss:0.01037 201s [29] validation_0-logloss:0.00993 201s [30] validation_0-logloss:0.00966 201s [31] validation_0-logloss:0.00920 201s [0] validation_0-logloss:0.00900 201s [1] validation_0-logloss:0.00876 201s [2] validation_0-logloss:0.00852 201s [3] validation_0-logloss:0.00835 201s [4] validation_0-logloss:0.00810 201s [5] validation_0-logloss:0.00791 201s [6] validation_0-logloss:0.00764 201s [7] validation_0-logloss:0.00753 201s [8] validation_0-logloss:0.00739 201s [9] validation_0-logloss:0.00723 201s [10] validation_0-logloss:0.00706 201s [11] validation_0-logloss:0.00695 201s [12] validation_0-logloss:0.00688 201s [13] validation_0-logloss:0.00671 201s [14] validation_0-logloss:0.00662 201s [15] validation_0-logloss:0.00650 201s [16] validation_0-logloss:0.00637 201s [17] validation_0-logloss:0.00628 201s [18] validation_0-logloss:0.00623 201s [19] validation_0-logloss:0.00618 201s [20] validation_0-logloss:0.00614 201s [21] validation_0-logloss:0.00609 201s [22] validation_0-logloss:0.00600 201s [23] validation_0-logloss:0.00590 201s [24] validation_0-logloss:0.00582 201s [25] validation_0-logloss:0.00578 201s [26] validation_0-logloss:0.00570 201s [27] validation_0-logloss:0.00566 201s [28] validation_0-logloss:0.00563 201s [29] validation_0-logloss:0.00559 201s [30] validation_0-logloss:0.00556 201s [31] validation_0-logloss:0.00553 201s [32] validation_0-logloss:0.00549 201s [33] validation_0-logloss:0.00546 201s [34] validation_0-logloss:0.00543 201s [35] validation_0-logloss:0.00540 201s [36] validation_0-logloss:0.00537 201s [37] validation_0-logloss:0.00534 201s [38] validation_0-logloss:0.00531 201s [39] validation_0-logloss:0.00528 201s [40] validation_0-logloss:0.00525 201s [41] validation_0-logloss:0.00523 201s [42] validation_0-logloss:0.00520 201s [43] validation_0-logloss:0.00517 201s [44] validation_0-logloss:0.00515 201s [45] validation_0-logloss:0.00512 201s [46] validation_0-logloss:0.00510 201s [47] validation_0-logloss:0.00507 201s [48] validation_0-logloss:0.00505 201s [49] validation_0-logloss:0.00502 201s [50] validation_0-logloss:0.00500 201s [51] validation_0-logloss:0.00498 201s [52] validation_0-logloss:0.00496 201s [53] validation_0-logloss:0.00493 201s [54] validation_0-logloss:0.00491 201s [55] validation_0-logloss:0.00489 201s [56] validation_0-logloss:0.00486 201s [57] validation_0-logloss:0.00484 201s [58] validation_0-logloss:0.00482 201s [59] validation_0-logloss:0.00480 201s [60] validation_0-logloss:0.00478 201s [61] validation_0-logloss:0.00476 201s [62] validation_0-logloss:0.00474 201s [63] validation_0-logloss:0.00472 201s [64] validation_0-logloss:0.00470 201s [65] validation_0-logloss:0.00468 201s [66] validation_0-logloss:0.00466 201s [67] validation_0-logloss:0.00464 201s [68] validation_0-logloss:0.00463 201s [69] validation_0-logloss:0.00461 201s [70] validation_0-logloss:0.00459 201s [71] validation_0-logloss:0.00457 201s [72] validation_0-logloss:0.00456 201s [73] validation_0-logloss:0.00454 201s [74] validation_0-logloss:0.00452 201s [75] validation_0-logloss:0.00451 201s [76] validation_0-logloss:0.00449 201s [77] validation_0-logloss:0.00448 201s [78] validation_0-logloss:0.00446 201s [79] validation_0-logloss:0.00444 201s [80] validation_0-logloss:0.00443 201s [81] validation_0-logloss:0.00441 201s [82] validation_0-logloss:0.00440 201s [83] validation_0-logloss:0.00438 201s [84] validation_0-logloss:0.00437 201s [85] validation_0-logloss:0.00435 201s [86] validation_0-logloss:0.00434 201s [87] validation_0-logloss:0.00433 201s [88] validation_0-logloss:0.00431 201s [89] validation_0-logloss:0.00430 201s [90] validation_0-logloss:0.00429 201s [91] validation_0-logloss:0.00427 201s [92] validation_0-logloss:0.00426 201s [93] validation_0-logloss:0.00425 201s [94] validation_0-logloss:0.00423 201s [95] validation_0-logloss:0.00422 201s Total boosted rounds: 128 201s [0] validation_0-logloss:0.43281 201s [1] validation_0-logloss:0.30816 201s [2] validation_0-logloss:0.22816 201s [3] validation_0-logloss:0.17470 201s [4] validation_0-logloss:0.13438 201s [5] validation_0-logloss:0.10538 201s [6] validation_0-logloss:0.08467 201s [7] validation_0-logloss:0.06909 201s [8] validation_0-logloss:0.05766 201s [9] validation_0-logloss:0.04842 201s [10] validation_0-logloss:0.04121 201s [11] validation_0-logloss:0.03545 201s [12] validation_0-logloss:0.03077 201s [13] validation_0-logloss:0.02742 201s [14] validation_0-logloss:0.02444 201s [15] validation_0-logloss:0.02208 201s [16] validation_0-logloss:0.01993 201s [17] validation_0-logloss:0.01819 201s [18] validation_0-logloss:0.01676 201s [19] validation_0-logloss:0.01575 201s [20] validation_0-logloss:0.01461 201s [21] validation_0-logloss:0.01383 201s [22] validation_0-logloss:0.01304 201s [23] validation_0-logloss:0.01243 201s [24] validation_0-logloss:0.01179 201s [25] validation_0-logloss:0.01142 201s [26] validation_0-logloss:0.01103 201s [27] validation_0-logloss:0.01066 201s [28] validation_0-logloss:0.01037 201s [29] validation_0-logloss:0.00993 201s [30] validation_0-logloss:0.00966 201s [31] validation_0-logloss:0.00920 201s [32] validation_0-logloss:0.00900 201s [33] validation_0-logloss:0.00876 201s [34] validation_0-logloss:0.00852 201s [35] validation_0-logloss:0.00835 201s [36] validation_0-logloss:0.00810 201s [37] validation_0-logloss:0.00791 201s [38] validation_0-logloss:0.00764 201s [39] validation_0-logloss:0.00753 201s [40] validation_0-logloss:0.00739 201s [41] validation_0-logloss:0.00723 201s [42] validation_0-logloss:0.00706 201s [43] validation_0-logloss:0.00695 201s [44] validation_0-logloss:0.00688 201s [45] validation_0-logloss:0.00671 201s [46] validation_0-logloss:0.00662 201s [47] validation_0-logloss:0.00650 201s [48] validation_0-logloss:0.00637 201s [49] validation_0-logloss:0.00628 201s [50] validation_0-logloss:0.00623 201s [51] validation_0-logloss:0.00618 201s [52] validation_0-logloss:0.00614 201s [53] validation_0-logloss:0.00609 201s [54] validation_0-logloss:0.00600 201s [55] validation_0-logloss:0.00590 201s [56] validation_0-logloss:0.00582 201s [57] validation_0-logloss:0.00578 201s [58] validation_0-logloss:0.00570 201s [59] validation_0-logloss:0.00566 201s [60] validation_0-logloss:0.00563 201s [61] validation_0-logloss:0.00559 201s [62] validation_0-logloss:0.00556 201s [63] validation_0-logloss:0.00553 201s [64] validation_0-logloss:0.00549 201s [65] validation_0-logloss:0.00546 201s [66] validation_0-logloss:0.00543 201s [67] validation_0-logloss:0.00540 201s [68] validation_0-logloss:0.00537 201s [69] validation_0-logloss:0.00534 201s [70] validation_0-logloss:0.00531 201s [71] validation_0-logloss:0.00528 201s [72] validation_0-logloss:0.00525 201s [73] validation_0-logloss:0.00523 201s [74] validation_0-logloss:0.00520 201s [75] validation_0-logloss:0.00517 201s [76] validation_0-logloss:0.00515 201s [77] validation_0-logloss:0.00512 201s [78] validation_0-logloss:0.00510 201s [79] validation_0-logloss:0.00507 201s [80] validation_0-logloss:0.00505 201s [81] validation_0-logloss:0.00502 201s [82] validation_0-logloss:0.00500 201s [83] validation_0-logloss:0.00498 201s [84] validation_0-logloss:0.00496 201s [85] validation_0-logloss:0.00493 201s [86] validation_0-logloss:0.00491 201s [87] validation_0-logloss:0.00489 201s [88] validation_0-logloss:0.00486 201s [89] validation_0-logloss:0.00484 201s [90] validation_0-logloss:0.00482 201s [91] validation_0-logloss:0.00480 201s [92] validation_0-logloss:0.00478 201s [93] validation_0-logloss:0.00476 201s [94] validation_0-logloss:0.00474 201s [95] validation_0-logloss:0.00472 201s [96] validation_0-logloss:0.00470 201s [97] validation_0-logloss:0.00468 201s [98] validation_0-logloss:0.00466 201s [99] validation_0-logloss:0.00464 201s [100] validation_0-logloss:0.00463 201s [101] validation_0-logloss:0.00461 201s [102] validation_0-logloss:0.00459 201s [103] validation_0-logloss:0.00457 201s [104] validation_0-logloss:0.00456 201s [105] validation_0-logloss:0.00454 201s [106] validation_0-logloss:0.00452 201s [107] validation_0-logloss:0.00451 201s [108] validation_0-logloss:0.00449 201s [109] validation_0-logloss:0.00448 201s [110] validation_0-logloss:0.00446 201s [111] validation_0-logloss:0.00444 201s [112] validation_0-logloss:0.00443 201s [113] validation_0-logloss:0.00441 201s [114] validation_0-logloss:0.00440 201s [115] validation_0-logloss:0.00438 201s [116] validation_0-logloss:0.00437 201s [117] validation_0-logloss:0.00435 201s [118] validation_0-logloss:0.00434 201s [119] validation_0-logloss:0.00433 201s [120] validation_0-logloss:0.00431 201s [121] validation_0-logloss:0.00430 201s [122] validation_0-logloss:0.00429 201s [123] validation_0-logloss:0.00427 201s [124] validation_0-logloss:0.00426 201s [125] validation_0-logloss:0.00425 201s [126] validation_0-logloss:0.00423 201s [127] validation_0-logloss:0.00422 201s Total boosted rounds: 128 201s [0] validation_0-logloss:0.43281 201s [1] validation_0-logloss:0.30816 201s [2] validation_0-logloss:0.22816 201s [3] validation_0-logloss:0.17470 201s [4] validation_0-logloss:0.13438 201s [5] validation_0-logloss:0.10538 201s [6] validation_0-logloss:0.08467 201s [7] validation_0-logloss:0.06909 201s [8] validation_0-logloss:0.05766 201s [9] validation_0-logloss:0.04842 201s [10] validation_0-logloss:0.04121 201s [11] validation_0-logloss:0.03545 201s [12] validation_0-logloss:0.03077 201s [13] validation_0-logloss:0.02742 201s [14] validation_0-logloss:0.02444 201s [15] validation_0-logloss:0.02208 201s [16] validation_0-logloss:0.01993 201s [17] validation_0-logloss:0.01819 201s [18] validation_0-logloss:0.01676 201s [19] validation_0-logloss:0.01575 201s [20] validation_0-logloss:0.01461 201s [21] validation_0-logloss:0.01383 201s [22] validation_0-logloss:0.01304 201s [23] validation_0-logloss:0.01243 201s [24] validation_0-logloss:0.01179 201s [25] validation_0-logloss:0.01142 201s [26] validation_0-logloss:0.01103 201s [27] validation_0-logloss:0.01066 201s [28] validation_0-logloss:0.01037 201s [29] validation_0-logloss:0.00993 201s [30] validation_0-logloss:0.00966 201s [31] validation_0-logloss:0.00920 201s [0] validation_0-logloss:0.00900 201s [1] validation_0-logloss:0.00876 201s [2] validation_0-logloss:0.00852 201s [3] validation_0-logloss:0.00835 201s [4] validation_0-logloss:0.00810 201s [5] validation_0-logloss:0.00791 201s [6] validation_0-logloss:0.00764 201s [7] validation_0-logloss:0.00753 201s [8] validation_0-logloss:0.00739 201s [9] validation_0-logloss:0.00723 201s [10] validation_0-logloss:0.00706 201s [11] validation_0-logloss:0.00695 201s [12] validation_0-logloss:0.00688 201s [13] validation_0-logloss:0.00671 201s [14] validation_0-logloss:0.00662 201s [15] validation_0-logloss:0.00650 201s [16] validation_0-logloss:0.00637 201s [17] validation_0-logloss:0.00628 201s [18] validation_0-logloss:0.00623 201s [19] validation_0-logloss:0.00618 201s [20] validation_0-logloss:0.00614 201s [21] validation_0-logloss:0.00609 201s [22] validation_0-logloss:0.00600 201s [23] validation_0-logloss:0.00590 201s [24] validation_0-logloss:0.00582 201s [25] validation_0-logloss:0.00578 201s [26] validation_0-logloss:0.00570 201s [27] validation_0-logloss:0.00566 201s [28] validation_0-logloss:0.00563 201s [29] validation_0-logloss:0.00559 201s [30] validation_0-logloss:0.00556 201s [31] validation_0-logloss:0.00553 201s [32] validation_0-logloss:0.00549 201s [33] validation_0-logloss:0.00546 201s [34] validation_0-logloss:0.00543 201s [35] validation_0-logloss:0.00540 201s [36] validation_0-logloss:0.00537 201s [37] validation_0-logloss:0.00534 201s [38] validation_0-logloss:0.00531 201s [39] validation_0-logloss:0.00528 201s [40] validation_0-logloss:0.00525 201s [41] validation_0-logloss:0.00523 201s [42] validation_0-logloss:0.00520 201s [43] validation_0-logloss:0.00517 201s [44] validation_0-logloss:0.00515 201s [45] validation_0-logloss:0.00512 201s [46] validation_0-logloss:0.00510 201s [47] validation_0-logloss:0.00507 201s [48] validation_0-logloss:0.00505 201s [49] validation_0-logloss:0.00502 201s [50] validation_0-logloss:0.00500 201s [51] validation_0-logloss:0.00498 201s [52] validation_0-logloss:0.00496 201s [53] validation_0-logloss:0.00493 201s [54] validation_0-logloss:0.00491 201s [55] validation_0-logloss:0.00489 201s [56] validation_0-logloss:0.00486 201s [57] validation_0-logloss:0.00484 201s [58] validation_0-logloss:0.00482 201s [59] validation_0-logloss:0.00480 201s [60] validation_0-logloss:0.00478 201s [61] validation_0-logloss:0.00476 201s [62] validation_0-logloss:0.00474 201s [63] validation_0-logloss:0.00472 201s [64] validation_0-logloss:0.00470 201s [65] validation_0-logloss:0.00468 201s [66] validation_0-logloss:0.00466 201s [67] validation_0-logloss:0.00464 201s [68] validation_0-logloss:0.00463 201s [69] validation_0-logloss:0.00461 201s [70] validation_0-logloss:0.00459 201s [71] validation_0-logloss:0.00457 201s [72] validation_0-logloss:0.00456 201s [73] validation_0-logloss:0.00454 201s [74] validation_0-logloss:0.00452 201s [75] validation_0-logloss:0.00451 201s [76] validation_0-logloss:0.00449 201s [77] validation_0-logloss:0.00448 201s [78] validation_0-logloss:0.00446 201s [79] validation_0-logloss:0.00444 201s [80] validation_0-logloss:0.00443 201s [81] validation_0-logloss:0.00441 201s [82] validation_0-logloss:0.00440 201s [83] validation_0-logloss:0.00438 201s [84] validation_0-logloss:0.00437 201s [85] validation_0-logloss:0.00435 201s [86] validation_0-logloss:0.00434 201s [87] validation_0-logloss:0.00433 201s [88] validation_0-logloss:0.00431 201s [89] validation_0-logloss:0.00430 201s [90] validation_0-logloss:0.00429 201s [91] validation_0-logloss:0.00427 201s [92] validation_0-logloss:0.00426 201s [93] validation_0-logloss:0.00425 201s [94] validation_0-logloss:0.00423 201s [95] validation_0-logloss:0.00422 201s Total boosted rounds: 128 201s ========================================== 201s Running case cross_validation.py... 202s running cross validation 202s [0] train-error:0.05067+0.00920 test-error:0.05573+0.01589 202s [1] train-error:0.02130+0.00206 test-error:0.02119+0.00365 202s running cross validation, disable standard deviation display 202s [0] train-error:0.05067 test-error:0.05573 202s [1] train-error:0.02130 test-error:0.02119 202s [2] train-error:0.00994 test-error:0.00998 202s [3] train-error:0.01413 test-error:0.01443 202s [4] train-error:0.00599 test-error:0.00630 202s [5] train-error:0.00203 test-error:0.00169 202s [6] train-error:0.00123 test-error:0.00123 202s [7] train-error:0.00123 test-error:0.00123 202s [8] train-error:0.00092 test-error:0.00123 202s [9] train-error:0.00061 test-error:0.00123 202s /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`. 202s warnings.warn( 202s train-error-mean train-error-std test-error-mean test-error-std 202s 0 0.050668 0.009201 0.055732 0.015889 202s 1 0.021303 0.002055 0.021188 0.003653 202s 2 0.009942 0.006076 0.009979 0.004828 202s 3 0.014126 0.001706 0.014433 0.003517 202s 4 0.005988 0.001878 0.006295 0.003123 202s 5 0.002034 0.001469 0.001689 0.000574 202s 6 0.001228 0.000260 0.001228 0.001041 202s running cross validation, with preprocessing function 202s running cross validation, with customized loss function 202s ========================================== 202s Running case custom_rmsle.py... 202s /tmp/autopkgtest.OWuZe8/build.1hz/src/demo/guide-python/custom_rmsle.py:139: SyntaxWarning: invalid escape sequence '\s' 202s :math:`\sqrt{\frac{1}{N}[log(pred + 1) - log(label + 1)]^2}` 204s Squared Error 204s [0] dtrain-rmse:682.95908 dtest-rmse:745.95555 204s [1] dtrain-rmse:627.66199 dtest-rmse:751.49583 204s [2] dtrain-rmse:596.74396 dtest-rmse:766.33054 204s [3] dtrain-rmse:555.92371 dtest-rmse:776.92703 204s [4] dtrain-rmse:519.58613 dtest-rmse:789.74145 204s [5] dtrain-rmse:501.26007 dtest-rmse:805.22881 204s [6] dtrain-rmse:453.81757 dtest-rmse:810.70817 204s [7] dtrain-rmse:423.51474 dtest-rmse:822.61798 204s [8] dtrain-rmse:383.34479 dtest-rmse:826.43243 204s [9] dtrain-rmse:371.08179 dtest-rmse:827.23674 204s [10] dtrain-rmse:353.11776 dtest-rmse:828.84174 204s [11] dtrain-rmse:316.42149 dtest-rmse:832.98904 204s [12] dtrain-rmse:300.24359 dtest-rmse:834.90637 204s [13] dtrain-rmse:285.81935 dtest-rmse:836.55001 204s [14] dtrain-rmse:278.47432 dtest-rmse:838.29965 204s [15] dtrain-rmse:266.08310 dtest-rmse:840.16158 204s [16] dtrain-rmse:261.48875 dtest-rmse:841.45332 204s [17] dtrain-rmse:253.15765 dtest-rmse:841.96773 204s [18] dtrain-rmse:246.41335 dtest-rmse:842.26433 204s [19] dtrain-rmse:242.90377 dtest-rmse:843.24280 204s Finished Squared Error in: 0.19253134727478027 204s 204s Squared Log Error 204s [0] dtrain-rmsle:1.31939 dtest-rmsle:1.26056 204s [1] dtrain-rmsle:1.22093 dtest-rmsle:1.16061 204s [2] dtrain-rmsle:1.13670 dtest-rmsle:1.07549 204s [3] dtrain-rmsle:1.06691 dtest-rmsle:1.00568 204s [4] dtrain-rmsle:1.01079 dtest-rmsle:0.95190 204s [5] dtrain-rmsle:0.96709 dtest-rmsle:0.91206 204s [6] dtrain-rmsle:0.93453 dtest-rmsle:0.88458 204s [7] dtrain-rmsle:0.90925 dtest-rmsle:0.86580 204s [8] dtrain-rmsle:0.89139 dtest-rmsle:0.85326 204s [9] dtrain-rmsle:0.87620 dtest-rmsle:0.84621 204s [10] dtrain-rmsle:0.86538 dtest-rmsle:0.84136 204s [11] dtrain-rmsle:0.85715 dtest-rmsle:0.83849 204s [12] dtrain-rmsle:0.84866 dtest-rmsle:0.83767 204s [13] dtrain-rmsle:0.84230 dtest-rmsle:0.83693 204s [14] dtrain-rmsle:0.83639 dtest-rmsle:0.83785 204s [15] dtrain-rmsle:0.83076 dtest-rmsle:0.83853 204s [16] dtrain-rmsle:0.82671 dtest-rmsle:0.83887 204s [17] dtrain-rmsle:0.82297 dtest-rmsle:0.83883 204s [18] dtrain-rmsle:0.81919 dtest-rmsle:0.83945 204s [19] dtrain-rmsle:0.81638 dtest-rmsle:0.83981 204s Finished Squared Log Error in: 0.07290816307067871 204s [0] dtrain-PyRMSLE:1.37154 dtest-PyRMSLE:1.31491 204s [1] dtrain-PyRMSLE:1.26642 dtest-PyRMSLE:1.20792 204s [2] dtrain-PyRMSLE:1.17525 dtest-PyRMSLE:1.11539 204s [3] dtrain-PyRMSLE:1.09848 dtest-PyRMSLE:1.03800 204s [4] dtrain-PyRMSLE:1.03565 dtest-PyRMSLE:0.97673 204s [5] dtrain-PyRMSLE:0.98595 dtest-PyRMSLE:0.93063 204s [6] dtrain-PyRMSLE:0.94774 dtest-PyRMSLE:0.89723 204s [7] dtrain-PyRMSLE:0.91977 dtest-PyRMSLE:0.87448 204s [8] dtrain-PyRMSLE:0.89796 dtest-PyRMSLE:0.85932 204s [9] dtrain-PyRMSLE:0.88141 dtest-PyRMSLE:0.85028 204s [10] dtrain-PyRMSLE:0.86816 dtest-PyRMSLE:0.84450 204s [11] dtrain-PyRMSLE:0.85991 dtest-PyRMSLE:0.84015 204s [12] dtrain-PyRMSLE:0.85120 dtest-PyRMSLE:0.83900 204s [13] dtrain-PyRMSLE:0.84384 dtest-PyRMSLE:0.83775 204s [14] dtrain-PyRMSLE:0.83741 dtest-PyRMSLE:0.83732 204s [15] dtrain-PyRMSLE:0.83253 dtest-PyRMSLE:0.83800 204s [16] dtrain-PyRMSLE:0.82842 dtest-PyRMSLE:0.83827 204s [17] dtrain-PyRMSLE:0.82535 dtest-PyRMSLE:0.83844 204s [18] dtrain-PyRMSLE:0.82169 dtest-PyRMSLE:0.83953 204s [19] dtrain-PyRMSLE:0.81857 dtest-PyRMSLE:0.84046 204s ========================================== 204s Running case custom_softmax.py... 206s [0] train-PyMError:0.14000 206s [1] train-PyMError:0.00000 206s /tmp/autopkgtest.OWuZe8/build.1hz/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.) 206s grad[r, c] = g 206s [2] train-PyMError:0.01000 206s [3] train-PyMError:0.00000 206s [4] train-PyMError:0.00000 206s [5] train-PyMError:0.00000 206s [6] train-PyMError:0.00000 206s [7] train-PyMError:0.00000 206s [8] train-PyMError:0.00000 206s [9] train-PyMError:0.00000 206s [0] train-merror:0.14000 206s [1] train-merror:0.00000 206s [2] train-merror:0.01000 206s [3] train-merror:0.00000 206s [4] train-merror:0.00000 206s [5] train-merror:0.00000 206s [6] train-merror:0.00000 206s [7] train-merror:0.00000 206s [8] train-merror:0.00000 206s [9] train-merror:0.00000 206s ========================================== 206s Running case evals_result.py... 207s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 207s warnings.warn(msg, FutureWarning) 207s [0] eval-logloss:0.47977 eval-error:0.04283 train-logloss:0.48196 train-error:0.04652 207s [1] eval-logloss:0.35740 eval-error:0.04283 train-logloss:0.35919 train-error:0.04652 207s Access logloss metric directly from evals_result: 207s [0.4797663698279288, 0.35739665886839306] 207s 207s Access metrics through a loop: 207s - eval 207s - logloss 207s - [0.4797663698279288, 0.35739665886839306] 207s - error 207s - [0.04283054003724395, 0.04283054003724395] 207s - train 207s - logloss 207s - [0.4819583435789261, 0.35919429156594646] 207s - error 207s - [0.04652233993551359, 0.04652233993551359] 207s 207s Access complete dictionary: 207s {'eval': OrderedDict({'logloss': [0.4797663698279288, 0.35739665886839306], 'error': [0.04283054003724395, 0.04283054003724395]}), 'train': OrderedDict({'logloss': [0.4819583435789261, 0.35919429156594646], 'error': [0.04652233993551359, 0.04652233993551359]})} 207s ========================================== 207s Running case external_memory.py... 209s [0] Train-rmse:170.67905 209s [1] Train-rmse:166.88130 209s [2] Train-rmse:163.67251 209s [3] Train-rmse:160.83024 209s [4] Train-rmse:158.26351 209s [5] Train-rmse:155.91569 209s [6] Train-rmse:153.74380 209s [7] Train-rmse:151.74583 209s [8] Train-rmse:149.92400 209s [9] Train-rmse:148.14658 209s ========================================== 209s Running case feature_weights.py... 210s [0] d-rmse:1.00430 210s [1] d-rmse:0.99638 210s [2] d-rmse:0.98161 210s [3] d-rmse:0.97086 210s [4] d-rmse:0.96269 210s [5] d-rmse:0.94829 210s [6] d-rmse:0.93914 210s [7] d-rmse:0.93187 210s [8] d-rmse:0.92274 210s [9] d-rmse:0.91749 211s ========================================== 211s Skip case gamma_regression.py... 211s ========================================== 211s Running case generalized_linear_model.py... 211s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 211s warnings.warn(msg, FutureWarning) 211s [0] eval-logloss:0.57160 train-logloss:0.56897 211s [1] eval-logloss:0.53007 train-logloss:0.52644 211s [2] eval-logloss:0.51441 train-logloss:0.51040 211s [3] eval-logloss:0.50819 train-logloss:0.50405 211s error=0.118560 212s ========================================== 212s Running case individual_trees.py... 213s ========================================== 213s Skip case learning_to_rank.py... 213s ========================================== 213s Running case multioutput_regression.py... 214s [0] validation_0-rmse:0.29417 214s [1] validation_0-rmse:0.26360 214s [2] validation_0-rmse:0.23619 214s [3] validation_0-rmse:0.22068 214s [4] validation_0-rmse:0.20681 214s [5] validation_0-rmse:0.19295 214s [6] validation_0-rmse:0.17849 214s [7] validation_0-rmse:0.16562 214s [8] validation_0-rmse:0.15492 214s [9] validation_0-rmse:0.14493 214s [10] validation_0-rmse:0.13892 214s [11] validation_0-rmse:0.13172 214s [12] validation_0-rmse:0.12253 214s [13] validation_0-rmse:0.11744 214s [14] validation_0-rmse:0.10981 214s [15] validation_0-rmse:0.10176 214s [16] validation_0-rmse:0.09476 214s [17] validation_0-rmse:0.08947 214s [18] validation_0-rmse:0.08399 214s [19] validation_0-rmse:0.07952 214s [20] validation_0-rmse:0.07442 214s [21] validation_0-rmse:0.07048 214s [22] validation_0-rmse:0.06749 214s [23] validation_0-rmse:0.06505 214s [24] validation_0-rmse:0.06060 214s [25] validation_0-rmse:0.05737 214s [26] validation_0-rmse:0.05539 214s [27] validation_0-rmse:0.05326 214s [28] validation_0-rmse:0.05026 214s [29] validation_0-rmse:0.04692 214s [30] validation_0-rmse:0.04501 214s [31] validation_0-rmse:0.04175 214s [32] validation_0-rmse:0.03970 214s [33] validation_0-rmse:0.03683 214s [34] validation_0-rmse:0.03430 214s [35] validation_0-rmse:0.03219 214s [36] validation_0-rmse:0.03058 214s [37] validation_0-rmse:0.02914 214s [38] validation_0-rmse:0.02778 214s [39] validation_0-rmse:0.02611 214s [40] validation_0-rmse:0.02504 214s [41] validation_0-rmse:0.02322 214s [42] validation_0-rmse:0.02212 214s [43] validation_0-rmse:0.02129 214s [44] validation_0-rmse:0.01992 214s [45] validation_0-rmse:0.01930 214s [46] validation_0-rmse:0.01864 214s [47] 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validation_0-rmse:0.00087 214s [112] validation_0-rmse:0.00086 214s [113] validation_0-rmse:0.00084 214s [114] validation_0-rmse:0.00084 214s [115] validation_0-rmse:0.00083 214s [116] validation_0-rmse:0.00083 214s [117] validation_0-rmse:0.00082 214s [118] validation_0-rmse:0.00082 214s [119] validation_0-rmse:0.00081 214s [120] validation_0-rmse:0.00080 214s [121] validation_0-rmse:0.00079 214s [122] validation_0-rmse:0.00079 214s [123] validation_0-rmse:0.00078 214s [124] validation_0-rmse:0.00078 214s [125] validation_0-rmse:0.00077 214s [126] validation_0-rmse:0.00077 214s [127] validation_0-rmse:0.00076 214s [0] Train-rmse:0.28597 Train-PyRMSE:4.04424 214s [1] Train-rmse:0.25494 Train-PyRMSE:3.60534 214s [2] Train-rmse:0.23359 Train-PyRMSE:3.30341 214s [3] Train-rmse:0.21640 Train-PyRMSE:3.06038 214s [4] Train-rmse:0.20574 Train-PyRMSE:2.90962 214s [5] Train-rmse:0.19311 Train-PyRMSE:2.73098 214s [6] Train-rmse:0.18435 Train-PyRMSE:2.60710 214s [7] Train-rmse:0.17502 Train-PyRMSE:2.47516 214s [8] Train-rmse:0.16830 Train-PyRMSE:2.38017 214s [9] Train-rmse:0.15957 Train-PyRMSE:2.25667 214s [10] Train-rmse:0.15430 Train-PyRMSE:2.18211 214s [11] Train-rmse:0.14604 Train-PyRMSE:2.06533 214s [12] Train-rmse:0.13629 Train-PyRMSE:1.92740 215s [13] Train-rmse:0.13249 Train-PyRMSE:1.87376 215s [14] Train-rmse:0.12557 Train-PyRMSE:1.77588 215s [15] Train-rmse:0.12198 Train-PyRMSE:1.72505 215s [16] Train-rmse:0.11972 Train-PyRMSE:1.69314 215s [17] Train-rmse:0.11345 Train-PyRMSE:1.60444 215s [18] Train-rmse:0.10926 Train-PyRMSE:1.54524 215s [19] Train-rmse:0.10367 Train-PyRMSE:1.46616 215s [20] Train-rmse:0.09938 Train-PyRMSE:1.40550 215s [21] Train-rmse:0.09543 Train-PyRMSE:1.34963 215s [22] Train-rmse:0.09302 Train-PyRMSE:1.31552 215s [23] Train-rmse:0.08848 Train-PyRMSE:1.25132 215s [24] Train-rmse:0.08575 Train-PyRMSE:1.21274 215s [25] Train-rmse:0.08280 Train-PyRMSE:1.17092 215s [26] Train-rmse:0.07694 Train-PyRMSE:1.08803 215s [27] Train-rmse:0.07375 Train-PyRMSE:1.04299 215s [28] Train-rmse:0.07137 Train-PyRMSE:1.00927 215s [29] Train-rmse:0.06737 Train-PyRMSE:0.95281 215s [30] Train-rmse:0.06433 Train-PyRMSE:0.90978 215s [31] Train-rmse:0.06239 Train-PyRMSE:0.88235 215s [32] Train-rmse:0.06093 Train-PyRMSE:0.86164 215s [33] Train-rmse:0.05800 Train-PyRMSE:0.82031 215s [34] Train-rmse:0.05568 Train-PyRMSE:0.78745 215s [35] Train-rmse:0.05430 Train-PyRMSE:0.76797 215s [36] Train-rmse:0.05124 Train-PyRMSE:0.72468 215s [37] Train-rmse:0.04849 Train-PyRMSE:0.68580 215s [38] Train-rmse:0.04754 Train-PyRMSE:0.67231 215s [39] Train-rmse:0.04704 Train-PyRMSE:0.66519 215s [40] Train-rmse:0.04449 Train-PyRMSE:0.62916 215s [41] Train-rmse:0.04374 Train-PyRMSE:0.61865 215s [42] Train-rmse:0.04281 Train-PyRMSE:0.60545 215s [43] Train-rmse:0.04101 Train-PyRMSE:0.58000 215s [44] Train-rmse:0.03921 Train-PyRMSE:0.55448 215s [45] Train-rmse:0.03761 Train-PyRMSE:0.53186 215s [46] Train-rmse:0.03628 Train-PyRMSE:0.51314 215s [47] Train-rmse:0.03566 Train-PyRMSE:0.50431 215s [48] Train-rmse:0.03379 Train-PyRMSE:0.47782 215s [49] Train-rmse:0.03265 Train-PyRMSE:0.46180 215s [50] Train-rmse:0.03208 Train-PyRMSE:0.45373 215s [51] Train-rmse:0.03132 Train-PyRMSE:0.44294 215s [52] Train-rmse:0.03024 Train-PyRMSE:0.42768 215s [53] Train-rmse:0.02897 Train-PyRMSE:0.40968 215s [54] Train-rmse:0.02838 Train-PyRMSE:0.40136 215s [55] Train-rmse:0.02777 Train-PyRMSE:0.39273 215s [56] Train-rmse:0.02668 Train-PyRMSE:0.37727 215s [57] Train-rmse:0.02579 Train-PyRMSE:0.36475 215s [58] Train-rmse:0.02436 Train-PyRMSE:0.34444 215s [59] Train-rmse:0.02411 Train-PyRMSE:0.34092 215s [60] Train-rmse:0.02344 Train-PyRMSE:0.33144 215s [61] Train-rmse:0.02296 Train-PyRMSE:0.32477 215s [62] Train-rmse:0.02203 Train-PyRMSE:0.31151 215s [63] Train-rmse:0.02109 Train-PyRMSE:0.29828 215s [64] Train-rmse:0.02058 Train-PyRMSE:0.29102 215s [65] Train-rmse:0.02017 Train-PyRMSE:0.28528 215s [66] Train-rmse:0.01945 Train-PyRMSE:0.27500 215s [67] Train-rmse:0.01861 Train-PyRMSE:0.26320 215s [68] Train-rmse:0.01835 Train-PyRMSE:0.25955 215s [69] Train-rmse:0.01763 Train-PyRMSE:0.24935 215s [70] Train-rmse:0.01697 Train-PyRMSE:0.24001 215s [71] Train-rmse:0.01633 Train-PyRMSE:0.23098 215s [72] Train-rmse:0.01582 Train-PyRMSE:0.22368 215s [73] Train-rmse:0.01562 Train-PyRMSE:0.22096 215s [74] Train-rmse:0.01507 Train-PyRMSE:0.21311 215s [75] Train-rmse:0.01488 Train-PyRMSE:0.21037 215s [76] Train-rmse:0.01417 Train-PyRMSE:0.20036 215s [77] Train-rmse:0.01362 Train-PyRMSE:0.19265 215s [78] Train-rmse:0.01314 Train-PyRMSE:0.18588 215s [79] Train-rmse:0.01263 Train-PyRMSE:0.17868 215s [80] Train-rmse:0.01246 Train-PyRMSE:0.17623 215s [81] Train-rmse:0.01228 Train-PyRMSE:0.17369 215s [82] Train-rmse:0.01171 Train-PyRMSE:0.16556 215s [83] Train-rmse:0.01120 Train-PyRMSE:0.15845 215s [84] Train-rmse:0.01081 Train-PyRMSE:0.15289 215s [85] Train-rmse:0.01031 Train-PyRMSE:0.14579 215s [86] Train-rmse:0.00992 Train-PyRMSE:0.14032 215s [87] Train-rmse:0.00976 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Train-rmse:0.00542 Train-PyRMSE:0.07665 215s [108] Train-rmse:0.00521 Train-PyRMSE:0.07373 215s [109] Train-rmse:0.00502 Train-PyRMSE:0.07100 215s [110] Train-rmse:0.00486 Train-PyRMSE:0.06869 215s [111] Train-rmse:0.00468 Train-PyRMSE:0.06612 215s [112] Train-rmse:0.00452 Train-PyRMSE:0.06399 215s [113] Train-rmse:0.00447 Train-PyRMSE:0.06324 215s [114] Train-rmse:0.00429 Train-PyRMSE:0.06062 215s [115] Train-rmse:0.00414 Train-PyRMSE:0.05856 215s [116] Train-rmse:0.00403 Train-PyRMSE:0.05697 215s [117] Train-rmse:0.00389 Train-PyRMSE:0.05498 215s [118] Train-rmse:0.00377 Train-PyRMSE:0.05330 215s [119] Train-rmse:0.00371 Train-PyRMSE:0.05251 215s [120] Train-rmse:0.00358 Train-PyRMSE:0.05058 215s [121] Train-rmse:0.00349 Train-PyRMSE:0.04940 215s [122] Train-rmse:0.00336 Train-PyRMSE:0.04751 215s [123] Train-rmse:0.00332 Train-PyRMSE:0.04702 215s [124] Train-rmse:0.00324 Train-PyRMSE:0.04584 215s [125] Train-rmse:0.00321 Train-PyRMSE:0.04542 215s [126] Train-rmse:0.00318 Train-PyRMSE:0.04502 215s [127] Train-rmse:0.00308 Train-PyRMSE:0.04355 215s [0] Train-rmse:0.29790 Train-PyRMSE:4.21300 215s [1] Train-rmse:0.26995 Train-PyRMSE:3.81773 215s [2] Train-rmse:0.24596 Train-PyRMSE:3.47845 215s [3] Train-rmse:0.22962 Train-PyRMSE:3.24727 215s [4] Train-rmse:0.22042 Train-PyRMSE:3.11716 215s [5] Train-rmse:0.20740 Train-PyRMSE:2.93305 215s [6] Train-rmse:0.20148 Train-PyRMSE:2.84940 215s [7] Train-rmse:0.19043 Train-PyRMSE:2.69310 215s [8] Train-rmse:0.18596 Train-PyRMSE:2.62991 215s [9] Train-rmse:0.17844 Train-PyRMSE:2.52354 215s [10] Train-rmse:0.17484 Train-PyRMSE:2.47255 215s [11] Train-rmse:0.15904 Train-PyRMSE:2.24910 215s [12] Train-rmse:0.15243 Train-PyRMSE:2.15566 215s [13] Train-rmse:0.14346 Train-PyRMSE:2.02886 215s [14] Train-rmse:0.13921 Train-PyRMSE:1.96873 215s [15] Train-rmse:0.13760 Train-PyRMSE:1.94597 215s [16] Train-rmse:0.13004 Train-PyRMSE:1.83909 215s [17] Train-rmse:0.12588 Train-PyRMSE:1.78025 215s [18] Train-rmse:0.12472 Train-PyRMSE:1.76382 215s [19] Train-rmse:0.11921 Train-PyRMSE:1.68592 215s [20] Train-rmse:0.11146 Train-PyRMSE:1.57621 215s [21] Train-rmse:0.10750 Train-PyRMSE:1.52031 215s [22] Train-rmse:0.10276 Train-PyRMSE:1.45326 215s [23] Train-rmse:0.10194 Train-PyRMSE:1.44162 215s [24] Train-rmse:0.09842 Train-PyRMSE:1.39186 215s [25] Train-rmse:0.09715 Train-PyRMSE:1.37398 215s [26] Train-rmse:0.09312 Train-PyRMSE:1.31692 215s [27] Train-rmse:0.09226 Train-PyRMSE:1.30482 215s [28] Train-rmse:0.08662 Train-PyRMSE:1.22503 215s [29] Train-rmse:0.08231 Train-PyRMSE:1.16407 215s [30] Train-rmse:0.08159 Train-PyRMSE:1.15381 215s [31] Train-rmse:0.07851 Train-PyRMSE:1.11031 215s [32] Train-rmse:0.07481 Train-PyRMSE:1.05796 215s [33] Train-rmse:0.07150 Train-PyRMSE:1.01120 215s [34] Train-rmse:0.07080 Train-PyRMSE:1.00132 215s [35] Train-rmse:0.06830 Train-PyRMSE:0.96591 215s [36] Train-rmse:0.06769 Train-PyRMSE:0.95733 215s [37] Train-rmse:0.06484 Train-PyRMSE:0.91694 215s [38] Train-rmse:0.06165 Train-PyRMSE:0.87181 215s [39] Train-rmse:0.05937 Train-PyRMSE:0.83965 215s [40] Train-rmse:0.05873 Train-PyRMSE:0.83051 215s [41] Train-rmse:0.05667 Train-PyRMSE:0.80140 215s [42] Train-rmse:0.05596 Train-PyRMSE:0.79141 215s [43] Train-rmse:0.05416 Train-PyRMSE:0.76589 215s [44] Train-rmse:0.05299 Train-PyRMSE:0.74934 215s [45] Train-rmse:0.05052 Train-PyRMSE:0.71453 215s [46] Train-rmse:0.04922 Train-PyRMSE:0.69609 215s [47] Train-rmse:0.04883 Train-PyRMSE:0.69062 215s [48] Train-rmse:0.04610 Train-PyRMSE:0.65199 215s [49] Train-rmse:0.04417 Train-PyRMSE:0.62469 215s [50] Train-rmse:0.04190 Train-PyRMSE:0.59254 215s [51] Train-rmse:0.04114 Train-PyRMSE:0.58181 215s [52] Train-rmse:0.03957 Train-PyRMSE:0.55954 215s [53] Train-rmse:0.03922 Train-PyRMSE:0.55469 215s [54] Train-rmse:0.03852 Train-PyRMSE:0.54478 215s [55] Train-rmse:0.03717 Train-PyRMSE:0.52562 215s [56] Train-rmse:0.03584 Train-PyRMSE:0.50680 215s [57] Train-rmse:0.03429 Train-PyRMSE:0.48498 215s [58] Train-rmse:0.03400 Train-PyRMSE:0.48083 215s [59] Train-rmse:0.03295 Train-PyRMSE:0.46597 215s [60] Train-rmse:0.03237 Train-PyRMSE:0.45775 215s [61] Train-rmse:0.03091 Train-PyRMSE:0.43707 215s [62] Train-rmse:0.02998 Train-PyRMSE:0.42399 215s [63] Train-rmse:0.02849 Train-PyRMSE:0.40286 215s [64] Train-rmse:0.02729 Train-PyRMSE:0.38595 215s [65] Train-rmse:0.02692 Train-PyRMSE:0.38069 215s [66] Train-rmse:0.02618 Train-PyRMSE:0.37018 215s [67] Train-rmse:0.02588 Train-PyRMSE:0.36600 215s [68] Train-rmse:0.02491 Train-PyRMSE:0.35229 215s [69] Train-rmse:0.02428 Train-PyRMSE:0.34344 215s [70] Train-rmse:0.02398 Train-PyRMSE:0.33907 215s [71] Train-rmse:0.02309 Train-PyRMSE:0.32650 215s [72] Train-rmse:0.02219 Train-PyRMSE:0.31381 215s [73] Train-rmse:0.02094 Train-PyRMSE:0.29616 215s [74] Train-rmse:0.02079 Train-PyRMSE:0.29398 215s [75] Train-rmse:0.02028 Train-PyRMSE:0.28685 215s [76] Train-rmse:0.01931 Train-PyRMSE:0.27311 215s [77] Train-rmse:0.01919 Train-PyRMSE:0.27140 215s [78] Train-rmse:0.01862 Train-PyRMSE:0.26336 215s [79] Train-rmse:0.01743 Train-PyRMSE:0.24652 215s [80] Train-rmse:0.01699 Train-PyRMSE:0.24033 215s [81] Train-rmse:0.01644 Train-PyRMSE:0.23256 215s [82] Train-rmse:0.01565 Train-PyRMSE:0.22127 215s [83] Train-rmse:0.01526 Train-PyRMSE:0.21582 215s [84] Train-rmse:0.01503 Train-PyRMSE:0.21258 215s [85] Train-rmse:0.01450 Train-PyRMSE:0.20508 215s [86] Train-rmse:0.01410 Train-PyRMSE:0.19936 215s [87] Train-rmse:0.01349 Train-PyRMSE:0.19080 215s [88] Train-rmse:0.01288 Train-PyRMSE:0.18211 215s [89] Train-rmse:0.01278 Train-PyRMSE:0.18071 215s [90] Train-rmse:0.01220 Train-PyRMSE:0.17252 215s [91] Train-rmse:0.01179 Train-PyRMSE:0.16679 215s [92] Train-rmse:0.01166 Train-PyRMSE:0.16490 215s [93] Train-rmse:0.01132 Train-PyRMSE:0.16008 215s [94] Train-rmse:0.01088 Train-PyRMSE:0.15388 215s [95] Train-rmse:0.01060 Train-PyRMSE:0.14993 215s [96] Train-rmse:0.01006 Train-PyRMSE:0.14229 215s [97] Train-rmse:0.00998 Train-PyRMSE:0.14109 215s [98] Train-rmse:0.00954 Train-PyRMSE:0.13496 215s [99] Train-rmse:0.00948 Train-PyRMSE:0.13406 215s [100] Train-rmse:0.00926 Train-PyRMSE:0.13098 215s [101] Train-rmse:0.00901 Train-PyRMSE:0.12747 215s [102] Train-rmse:0.00885 Train-PyRMSE:0.12510 215s [103] Train-rmse:0.00847 Train-PyRMSE:0.11979 215s [104] Train-rmse:0.00833 Train-PyRMSE:0.11784 215s [105] Train-rmse:0.00791 Train-PyRMSE:0.11187 215s [106] Train-rmse:0.00787 Train-PyRMSE:0.11125 215s [107] Train-rmse:0.00755 Train-PyRMSE:0.10682 215s [108] Train-rmse:0.00724 Train-PyRMSE:0.10245 215s [109] Train-rmse:0.00705 Train-PyRMSE:0.09976 215s [110] Train-rmse:0.00683 Train-PyRMSE:0.09662 215s [111] Train-rmse:0.00656 Train-PyRMSE:0.09274 215s [112] Train-rmse:0.00641 Train-PyRMSE:0.09058 215s [113] Train-rmse:0.00631 Train-PyRMSE:0.08921 215s [114] Train-rmse:0.00606 Train-PyRMSE:0.08569 215s [115] Train-rmse:0.00583 Train-PyRMSE:0.08241 215s [116] Train-rmse:0.00578 Train-PyRMSE:0.08175 215s [117] Train-rmse:0.00562 Train-PyRMSE:0.07946 215s [118] Train-rmse:0.00553 Train-PyRMSE:0.07818 215s [119] Train-rmse:0.00533 Train-PyRMSE:0.07539 215s [120] Train-rmse:0.00514 Train-PyRMSE:0.07262 215s [121] Train-rmse:0.00510 Train-PyRMSE:0.07211 215s [122] Train-rmse:0.00501 Train-PyRMSE:0.07088 215s [123] Train-rmse:0.00489 Train-PyRMSE:0.06912 215s [124] Train-rmse:0.00475 Train-PyRMSE:0.06722 215s [125] Train-rmse:0.00473 Train-PyRMSE:0.06690 215s [126] Train-rmse:0.00467 Train-PyRMSE:0.06603 215s [127] Train-rmse:0.00443 Train-PyRMSE:0.06259 215s ========================================== 215s Running case predict_first_ntree.py... 216s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 216s warnings.warn(msg, FutureWarning) 216s [0] eval-logloss:0.22646 train-logloss:0.23316 216s [1] eval-logloss:0.13776 train-logloss:0.13654 216s [2] eval-logloss:0.08036 train-logloss:0.08243 216s start testing prediction from first n trees 216s error of ypred1=0.042831 216s error of ypred2=0.006207 216s [0] validation_0-logloss:0.22646 216s [1] validation_0-logloss:0.13776 216s [2] validation_0-logloss:0.08036 216s start testing prediction from first n trees 216s error of ypred1=0.042831 216s error of ypred2=0.006207 216s ========================================== 216s Running case predict_leaf_indices.py... 217s /usr/lib/python3/dist-packages/xgboost/core.py:723: FutureWarning: Pass `evals` as keyword args. 217s warnings.warn(msg, FutureWarning) 217s [0] eval-logloss:0.22646 train-logloss:0.23316 217s [1] eval-logloss:0.13776 train-logloss:0.13654 217s [2] eval-logloss:0.08036 train-logloss:0.08243 217s start testing predict the leaf indices 217s (1611, 2, 1, 1) 217s [[[[5.]] 217s 217s [[4.]]] 217s 217s 217s [[[6.]] 217s 217s [[4.]]] 217s 217s 217s [[[5.]] 217s 217s [[4.]]] 217s 217s 217s ... 217s 217s 217s [[[6.]] 217s 217s [[4.]]] 217s 217s 217s [[[4.]] 217s 217s [[3.]]] 217s 217s 217s [[[6.]] 217s 217s [[4.]]]] 217s (1611, 3) 217s ========================================== 217s Skip case quantile_data_iterator.py... 217s ========================================== 217s Running case quantile_regression.py... 219s [0] Train-quantile:1.50159 Test-quantile:1.45489 219s [1] Train-quantile:1.41395 Test-quantile:1.36960 219s [2] Train-quantile:1.33178 Test-quantile:1.28702 219s [3] Train-quantile:1.25429 Test-quantile:1.21133 219s [4] Train-quantile:1.18373 Test-quantile:1.13959 219s [5] Train-quantile:1.11898 Test-quantile:1.07261 219s [6] Train-quantile:1.05770 Test-quantile:1.01264 219s [7] Train-quantile:1.00142 Test-quantile:0.96139 219s [8] Train-quantile:0.94844 Test-quantile:0.91339 219s [9] Train-quantile:0.89917 Test-quantile:0.86934 219s [10] Train-quantile:0.85692 Test-quantile:0.82830 219s [11] Train-quantile:0.81823 Test-quantile:0.79270 219s [12] Train-quantile:0.78400 Test-quantile:0.75817 219s [13] Train-quantile:0.75333 Test-quantile:0.72983 219s [14] Train-quantile:0.72555 Test-quantile:0.70335 219s [15] Train-quantile:0.69885 Test-quantile:0.67960 219s [16] Train-quantile:0.67482 Test-quantile:0.65947 219s [17] Train-quantile:0.65359 Test-quantile:0.64055 219s [18] Train-quantile:0.63363 Test-quantile:0.62346 219s [19] Train-quantile:0.61495 Test-quantile:0.60855 219s [20] Train-quantile:0.59783 Test-quantile:0.59489 219s [21] Train-quantile:0.58197 Test-quantile:0.58130 219s [22] Train-quantile:0.56682 Test-quantile:0.56949 219s [23] Train-quantile:0.55237 Test-quantile:0.55744 219s [24] Train-quantile:0.53809 Test-quantile:0.54622 219s [25] Train-quantile:0.52441 Test-quantile:0.53571 219s [26] Train-quantile:0.51174 Test-quantile:0.52520 219s [27] Train-quantile:0.49974 Test-quantile:0.51546 219s [28] Train-quantile:0.48865 Test-quantile:0.50628 219s [29] Train-quantile:0.47833 Test-quantile:0.49784 219s [30] Train-quantile:0.46895 Test-quantile:0.48966 219s [31] Train-quantile:0.45900 Test-quantile:0.48302 219s [0] Train-rmse:4.32523 Test-rmse:4.63143 219s [1] Train-rmse:4.21367 Test-rmse:4.53399 219s [2] Train-rmse:4.10813 Test-rmse:4.44222 219s [3] Train-rmse:4.00795 Test-rmse:4.35559 219s [4] Train-rmse:3.91314 Test-rmse:4.27507 219s [5] Train-rmse:3.82342 Test-rmse:4.19994 219s [6] Train-rmse:3.73860 Test-rmse:4.12864 219s [7] Train-rmse:3.65855 Test-rmse:4.06333 219s [8] Train-rmse:3.58302 Test-rmse:3.99920 219s [9] Train-rmse:3.51166 Test-rmse:3.94100 219s [10] Train-rmse:3.44443 Test-rmse:3.88581 219s [11] Train-rmse:3.38085 Test-rmse:3.83491 219s [12] Train-rmse:3.32121 Test-rmse:3.78659 219s [13] Train-rmse:3.26491 Test-rmse:3.74137 219s [14] Train-rmse:3.21217 Test-rmse:3.69918 219s [15] Train-rmse:3.16233 Test-rmse:3.66047 219s [16] Train-rmse:3.11625 Test-rmse:3.62292 219s [17] Train-rmse:3.07250 Test-rmse:3.58980 219s [18] Train-rmse:3.03120 Test-rmse:3.55971 219s [19] Train-rmse:2.99260 Test-rmse:3.53039 219s [20] Train-rmse:2.95471 Test-rmse:3.50273 219s [21] Train-rmse:2.92082 Test-rmse:3.47765 219s [22] Train-rmse:2.88707 Test-rmse:3.45409 219s [23] Train-rmse:2.85719 Test-rmse:3.43196 219s [24] Train-rmse:2.82955 Test-rmse:3.41116 219s [25] Train-rmse:2.80145 Test-rmse:3.39262 219s [26] Train-rmse:2.77526 Test-rmse:3.37544 219s [27] Train-rmse:2.75237 Test-rmse:3.35703 219s [28] Train-rmse:2.73071 Test-rmse:3.34065 219s [29] Train-rmse:2.70895 Test-rmse:3.32714 219s [30] Train-rmse:2.69007 Test-rmse:3.31295 219s [31] Train-rmse:2.67125 Test-rmse:3.30119 219s ========================================== 219s Running case sklearn_evals_result.py... 220s [0] validation_0-logloss:0.63169 validation_1-logloss:0.65974 220s [1] validation_0-logloss:0.58449 validation_1-logloss:0.62161 220s Access logloss metric directly from validation_0: 220s [0.6316909282654524, 0.5844871088303626] 220s 220s Access metrics through a loop: 220s - validation_0 220s - logloss 220s - [0.6316909282654524, 0.5844871088303626] 220s - validation_1 220s - logloss 220s - [0.6597448766976595, 0.6216080508381129] 220s 220s Access complete dict: 220s {'validation_0': OrderedDict({'logloss': [0.6316909282654524, 0.5844871088303626]}), 'validation_1': OrderedDict({'logloss': [0.6597448766976595, 0.6216080508381129]})} 220s ========================================== 220s Running case sklearn_examples.py... 224s Zeros and Ones from the Digits dataset: binary classification 224s [[87 0] 224s [ 1 92]] 224s [[91 0] 224s [ 3 86]] 224s Iris: multiclass classification 224s [[19 0 0] 224s [ 1 31 2] 224s [ 0 3 19]] 224s [[31 0 0] 224s [ 0 16 0] 224s [ 0 1 27]] 224s California Housing: regression 224s 0.2310805601814026 224s 0.23533764411819863 224s Parameter optimization 224s Fitting 3 folds for each of 4 candidates, totalling 12 fits 224s 0.6838972456687431 224s {'max_depth': 4, 'n_estimators': 100} 224s Pickling sklearn API models 224s True 224s [0] validation_0-auc:0.99020 224s [1] validation_0-auc:0.99975 224s [2] validation_0-auc:0.99975 224s [3] validation_0-auc:0.99975 224s [4] validation_0-auc:0.99975 224s [5] validation_0-auc:0.99975 224s [6] validation_0-auc:1.00000 224s [7] validation_0-auc:1.00000 224s [8] validation_0-auc:1.00000 224s [9] validation_0-auc:1.00000 225s [10] validation_0-auc:1.00000 225s [11] validation_0-auc:1.00000 225s [12] validation_0-auc:1.00000 225s [13] validation_0-auc:1.00000 225s [14] validation_0-auc:1.00000 225s [15] validation_0-auc:1.00000 225s [16] validation_0-auc:1.00000 225s ========================================== 225s Running case sklearn_parallel.py... 226s Parallel Parameter optimization 226s Fitting 5 folds for each of 9 candidates, totalling 45 fits 233s 0.688555675183378 233s {'max_depth': 4, 'n_estimators': 50} 233s Exception ignored in: 233s Traceback (most recent call last): 233s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 233s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 233s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 233s ChildProcessError: [Errno 10] No child processes 233s Exception ignored in: 233s Traceback (most recent call last): 233s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 82, in __del__ 233s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 91, in _stop 233s File "/usr/lib/python3.13/multiprocessing/resource_tracker.py", line 116, in _stop_locked 233s ChildProcessError: [Errno 10] No child processes 233s ========================================== 233s Skip case spark_estimator_examples.py... 233s ========================================== 233s Skip case update_process.py... 233s ========================================== 233s All cases passed. 233s /tmp/autopkgtest.OWuZe8/wrapper.sh: Killing leaked background processes: 2861 233s PID TTY STAT TIME COMMAND 233s 2861 ? R 0:00 /usr/bin/python3 -c from joblib.externals.loky.backend.resource_tracker import main; main(3, False) 233s autopkgtest [00:58:11]: test run-demos: -----------------------] 234s autopkgtest [00:58:12]: test run-demos: - - - - - - - - - - results - - - - - - - - - - 234s run-demos PASS 234s autopkgtest [00:58:12]: @@@@@@@@@@@@@@@@@@@@ summary 234s run-demos PASS 251s nova [W] Using flock in prodstack6-ppc64el 251s Creating nova instance adt-questing-ppc64el-xgboost-20250503-005418-juju-7f2275-prod-proposed-migration-environment-23-0c11d301-66a8-46ec-9395-ad02068c17ec from image adt/ubuntu-questing-ppc64el-server-20250502.img (UUID 7a0939ac-dfd3-4678-92e9-ba08dcd47f5c)... 251s nova [W] Timed out waiting for 4a05419a-df0b-46f5-bb39-0bbaaf0d8174 to get deleted.