Bump the classical-ml group across 1 directory with 4 updates

[dependabot]

Bumps the classical-ml group with 4 updates in the /classical-ml directory: daal4py, matplotlib, scikit-learn-intelex and xgboost.

Updates daal4py from 2024.5.0 to 2024.6.0

Commits

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Updates matplotlib from 3.9.1 to 3.9.1.post1

Commits

• 9c9792a DOC: Add Zenodo DOI for 3.9.1
• 60bfa22 BLD: bump branch away from tag
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Updates scikit-learn-intelex from 2024.5.0 to 2024.6.0

Commits

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Updates xgboost from 2.1.0 to 2.1.1

Release notes

Sourced from xgboost's releases.

2.1.1 Patch Release

The 2.1.1 patch release make the following bug fixes:

• [Dask] Disable broadcast in the scatter call so that predict function won't hang (#10632) by @​trivialfis
• [Dask] Handle empty partitions correctly (#10559) by @​trivialfis
• Fix federated learning for the encrypted GRPC backend (#10503) by @​trivialfis
• Fix a race condition in column splitter (#10572) by @​trivialfis
• Gracefully handle cases where system files like /sys/fs/cgroup/cpu.max are not readable by the user (#10623) by @​trivialfis
• Fix build and C++ tests for FreeBSD (#10480) by @​hcho3, @​trivialfis
• Clarify the requirement Pandas 1.2+ (#10476) by @​hcho3
• More robust endianness detection in R package build (#10642) by @​jakirkham, @​hcho3

In addition, it contains several enhancements:

• Publish JVM packages targeting Linux ARM64 (#10487) by @​hcho3
• Publish a CPU-only wheel under name xgboost-cpu (#10603) by @​hcho3
• Support building with CUDA Toolkit 12.5 and latest CCCL (#10624, #10633, #10574) by @​hcho3, @​trivialfis, @​jakirkham

Full Changelog: dmlc/xgboost@v2.1.0...v2.1.1

Additional artifacts:

You can verify the downloaded packages by running the following command on your Unix shell:

echo "<hash> <artifact>" | shasum -a 256 --check

eddbc5200b7c5210f2b8974b9d2a0328a30753416bfb81fdaf5040f4f7abb222  xgboost-2.1.1.tar.gz
3ba5a6e0c609bd5cc0a667d83c57457c06778bece50863e58c8bc1b4eb415fc6  xgboost_r_gpu_linux_2.1.1.tar.gz

Experimental binary packages for R with CUDA enabled

• xgboost_r_gpu_linux_2.1.1.tar.gz: Download

Source tarball

• xgboost.tar.gz: Download

Commits

• 9c9db12 Bump version to 2.1.1 (#10651)
• d8b6121 [backport] Allow external configuration of endianness in R package build (#10...
• 5fdb39d Add Library\mingw-w64 to Windows search path (#10643) (#10644)
• 80d60df [backport] Allow building with CCCL that's newer than CTK (#10624, #10633) (#...
• 61e0371 [backport] Partial fix for CTK 12.5 (#10574) (#10638)
• 3fd8451 [backport][dask] Disable broadcast in the scatter call. (#10632) (#10634)
• 7643306 [backport] Catch exceptions during file read. (#10623) (#10625)
• 9fe50c4 [backport] [CI] Build a CPU-only wheel under name xgboost-cpu (#10603) (#10...
• ea7bd91 [backport] Fix column split race condition. (#10572) (#10580)
• 086ca69 [backport]Fix empty partition. (#10559) (#10579)
• Additional commits viewable in compare view

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[github-actions]

Dependency Review

✅ No vulnerabilities or license issues or OpenSSF Scorecard issues found.

OpenSSF Scorecard

Package	Version	Score	Details
pip/daal4py	2024.6.0	🟢 7.6	Details Check Score Reason Code-Review 🟢 10 all changesets reviewed Maintained 🟢 10 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 CII-Best-Practices ⚠️ 0 no effort to earn an OpenSSF best practices badge detected License 🟢 10 license file detected Branch-Protection ⚠️ -1 internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration Signed-Releases ⚠️ -1 no releases found Token-Permissions 🟢 10 GitHub workflow tokens follow principle of least privilege Dangerous-Workflow 🟢 10 no dangerous workflow patterns detected Packaging ⚠️ -1 packaging workflow not detected Security-Policy 🟢 10 security policy file detected SAST ⚠️ 0 SAST tool is not run on all commits -- score normalized to 0 Binary-Artifacts 🟢 10 no binaries found in the repo Vulnerabilities 🟢 10 0 existing vulnerabilities detected Fuzzing ⚠️ 0 project is not fuzzed Pinned-Dependencies ⚠️ 0 dependency not pinned by hash detected -- score normalized to 0
pip/matplotlib	3.9.1.post1	🟢 8.1	Details Check Score Reason Code-Review 🟢 10 all changesets reviewed Maintained 🟢 10 30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10 CII-Best-Practices ⚠️ 0 no effort to earn an OpenSSF best practices badge detected Signed-Releases ⚠️ -1 no releases found Security-Policy 🟢 10 security policy file detected Dangerous-Workflow 🟢 10 no dangerous workflow patterns detected License 🟢 9 license file detected Branch-Protection 🟢 8 branch protection is not maximal on development and all release branches Token-Permissions ⚠️ 0 detected GitHub workflow tokens with excessive permissions Vulnerabilities 🟢 10 0 existing vulnerabilities detected SAST 🟢 10 SAST tool is run on all commits Fuzzing 🟢 10 project is fuzzed Binary-Artifacts 🟢 10 no binaries found in the repo Packaging 🟢 10 packaging workflow detected Pinned-Dependencies ⚠️ 2 dependency not pinned by hash detected -- score normalized to 2
pip/scikit-learn-intelex	2024.6.0	🟢 7.6	Details Check Score Reason Code-Review 🟢 10 all changesets reviewed Maintained 🟢 10 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 CII-Best-Practices ⚠️ 0 no effort to earn an OpenSSF best practices badge detected License 🟢 10 license file detected Branch-Protection ⚠️ -1 internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration Signed-Releases ⚠️ -1 no releases found Token-Permissions 🟢 10 GitHub workflow tokens follow principle of least privilege Dangerous-Workflow 🟢 10 no dangerous workflow patterns detected Packaging ⚠️ -1 packaging workflow not detected Security-Policy 🟢 10 security policy file detected SAST ⚠️ 0 SAST tool is not run on all commits -- score normalized to 0 Binary-Artifacts 🟢 10 no binaries found in the repo Vulnerabilities 🟢 10 0 existing vulnerabilities detected Fuzzing ⚠️ 0 project is not fuzzed Pinned-Dependencies ⚠️ 0 dependency not pinned by hash detected -- score normalized to 0
pip/xgboost	2.1.1	🟢 6.7	Details Check Score Reason Binary-Artifacts 🟢 10 no binaries found in the repo Branch-Protection ⚠️ -1 internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration CI-Tests 🟢 10 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 CII-Best-Practices ⚠️ 0 no effort to earn an OpenSSF best practices badge detected Code-Review 🟢 9 Found 26/28 approved changesets -- score normalized to 9 Contributors 🟢 10 project has 56 contributing companies or organizations Dangerous-Workflow 🟢 10 no dangerous workflow patterns detected Dependency-Update-Tool 🟢 10 update tool detected Fuzzing ⚠️ 0 project is not fuzzed License 🟢 10 license file detected Maintained 🟢 10 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10 Packaging 🟢 10 packaging workflow detected Pinned-Dependencies ⚠️ 2 dependency not pinned by hash detected -- score normalized to 2 SAST ⚠️ 0 SAST tool is not run on all commits -- score normalized to 0 Security-Policy 🟢 10 security policy file detected Signed-Releases ⚠️ 0 Project has not signed or included provenance with any releases. Token-Permissions ⚠️ 0 detected GitHub workflow tokens with excessive permissions Vulnerabilities 🟢 10 0 existing vulnerabilities detected

Scanned Manifest Files

classical-ml/requirements.txt

• daal4py@2024.6.0
• matplotlib@3.9.1.post1
• scikit-learn-intelex@2024.6.0
• xgboost@2.1.1
• daal4py@2024.5.0
• matplotlib@3.9.1
• scikit-learn-intelex@2024.5.0
• xgboost@2.1.0

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