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Bump the classical-ml group across 1 directory with 4 updates #287

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@dependabot dependabot bot commented on behalf of github Aug 8, 2024

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

Updates matplotlib from 3.9.1 to 3.9.1.post1

Commits

Updates scikit-learn-intelex from 2024.5.0 to 2024.6.0

Commits

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:

In addition, it contains several enhancements:

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

Commits

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Bumps the classical-ml group with 4 updates in the /classical-ml directory: [daal4py](https://github.com/IntelPython/daal4py), [matplotlib](https://github.com/matplotlib/matplotlib), [scikit-learn-intelex](https://github.com/intel/scikit-learn-intelex) and [xgboost](https://github.com/dmlc/xgboost).


Updates `daal4py` from 2024.5.0 to 2024.6.0
- [Release notes](https://github.com/IntelPython/daal4py/releases)
- [Commits](https://github.com/IntelPython/daal4py/commits)

Updates `matplotlib` from 3.9.1 to 3.9.1.post1
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.9.1...v3.9.1.post1)

Updates `scikit-learn-intelex` from 2024.5.0 to 2024.6.0
- [Release notes](https://github.com/intel/scikit-learn-intelex/releases)
- [Commits](https://github.com/intel/scikit-learn-intelex/commits)

Updates `xgboost` from 2.1.0 to 2.1.1
- [Release notes](https://github.com/dmlc/xgboost/releases)
- [Changelog](https://github.com/dmlc/xgboost/blob/master/NEWS.md)
- [Commits](dmlc/xgboost@v2.1.0...v2.1.1)

---
updated-dependencies:
- dependency-name: daal4py
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: classical-ml
- dependency-name: matplotlib
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: classical-ml
- dependency-name: scikit-learn-intelex
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: classical-ml
- dependency-name: xgboost
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: classical-ml
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Aug 8, 2024
@dependabot dependabot bot requested a review from sharvil10 as a code owner August 8, 2024 15:24
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github-actions bot commented Aug 8, 2024

Dependency Review

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

OpenSSF Scorecard

PackageVersionScoreDetails
pip/daal4py 2024.6.0 🟢 7.6
Details
CheckScoreReason
Code-Review🟢 10all changesets reviewed
Maintained🟢 1030 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
CII-Best-Practices⚠️ 0no effort to earn an OpenSSF best practices badge detected
License🟢 10license file detected
Branch-Protection⚠️ -1internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration
Signed-Releases⚠️ -1no releases found
Token-Permissions🟢 10GitHub workflow tokens follow principle of least privilege
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Packaging⚠️ -1packaging workflow not detected
Security-Policy🟢 10security policy file detected
SAST⚠️ 0SAST tool is not run on all commits -- score normalized to 0
Binary-Artifacts🟢 10no binaries found in the repo
Vulnerabilities🟢 100 existing vulnerabilities detected
Fuzzing⚠️ 0project is not fuzzed
Pinned-Dependencies⚠️ 0dependency not pinned by hash detected -- score normalized to 0
pip/matplotlib 3.9.1.post1 🟢 8.1
Details
CheckScoreReason
Code-Review🟢 10all changesets reviewed
Maintained🟢 1030 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10
CII-Best-Practices⚠️ 0no effort to earn an OpenSSF best practices badge detected
Signed-Releases⚠️ -1no releases found
Security-Policy🟢 10security policy file detected
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
License🟢 9license file detected
Branch-Protection🟢 8branch protection is not maximal on development and all release branches
Token-Permissions⚠️ 0detected GitHub workflow tokens with excessive permissions
Vulnerabilities🟢 100 existing vulnerabilities detected
SAST🟢 10SAST tool is run on all commits
Fuzzing🟢 10project is fuzzed
Binary-Artifacts🟢 10no binaries found in the repo
Packaging🟢 10packaging workflow detected
Pinned-Dependencies⚠️ 2dependency not pinned by hash detected -- score normalized to 2
pip/scikit-learn-intelex 2024.6.0 🟢 7.6
Details
CheckScoreReason
Code-Review🟢 10all changesets reviewed
Maintained🟢 1030 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
CII-Best-Practices⚠️ 0no effort to earn an OpenSSF best practices badge detected
License🟢 10license file detected
Branch-Protection⚠️ -1internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration
Signed-Releases⚠️ -1no releases found
Token-Permissions🟢 10GitHub workflow tokens follow principle of least privilege
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Packaging⚠️ -1packaging workflow not detected
Security-Policy🟢 10security policy file detected
SAST⚠️ 0SAST tool is not run on all commits -- score normalized to 0
Binary-Artifacts🟢 10no binaries found in the repo
Vulnerabilities🟢 100 existing vulnerabilities detected
Fuzzing⚠️ 0project is not fuzzed
Pinned-Dependencies⚠️ 0dependency not pinned by hash detected -- score normalized to 0
pip/xgboost 2.1.1 🟢 6.7
Details
CheckScoreReason
Binary-Artifacts🟢 10no binaries found in the repo
Branch-Protection⚠️ -1internal error: error during branchesHandler.setup: internal error: githubv4.Query: Resource not accessible by integration
CI-Tests🟢 1030 out of 30 merged PRs checked by a CI test -- score normalized to 10
CII-Best-Practices⚠️ 0no effort to earn an OpenSSF best practices badge detected
Code-Review🟢 9Found 26/28 approved changesets -- score normalized to 9
Contributors🟢 10project has 56 contributing companies or organizations
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Dependency-Update-Tool🟢 10update tool detected
Fuzzing⚠️ 0project is not fuzzed
License🟢 10license file detected
Maintained🟢 1030 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Packaging🟢 10packaging workflow detected
Pinned-Dependencies⚠️ 2dependency not pinned by hash detected -- score normalized to 2
SAST⚠️ 0SAST tool is not run on all commits -- score normalized to 0
Security-Policy🟢 10security policy file detected
Signed-Releases⚠️ 0Project has not signed or included provenance with any releases.
Token-Permissions⚠️ 0detected GitHub workflow tokens with excessive permissions
Vulnerabilities🟢 100 existing vulnerabilities detected

Scanned Manifest Files

classical-ml/requirements.txt

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@tylertitsworth tylertitsworth merged commit 4f46758 into main Aug 8, 2024
31 of 32 checks passed
@tylertitsworth tylertitsworth deleted the dependabot/pip/classical-ml/classical-ml-7e3fa9ffe8 branch August 8, 2024 17:45
jitendra42 pushed a commit to jitendra42/ai-containers that referenced this pull request Oct 23, 2024
* test locally

* add CI functional errors

* add CI functional errors

* use pre-commit

* modify tests

* remove duplicate scripts

* remove duplicate scripts

* address lint issues

* revert changes for perf

* Update performance.py
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