Quantco / slim-trees

Pickle your ML models more efficiently for deployment 🚀
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Bump the dependencies group with 3 updates #106

Closed dependabot[bot] closed 8 months ago

dependabot[bot] commented 8 months ago

Bumps the dependencies group with 3 updates: actions/setup-python, actions/upload-artifact and actions/download-artifact.

Updates actions/setup-python from 4 to 5

Release notes

Sourced from actions/setup-python's releases.

v5.0.0

What's Changed

In scope of this release, we update node version runtime from node16 to node20 (actions/setup-python#772). Besides, we update dependencies to the latest versions.

Full Changelog: https://github.com/actions/setup-python/compare/v4.8.0...v5.0.0

v4.8.0

What's Changed

In scope of this release we added support for GraalPy (actions/setup-python#694). You can use this snippet to set up GraalPy:

steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v4 
  with:
    python-version: 'graalpy-22.3' 
- run: python my_script.py

Besides, the release contains such changes as:

New Contributors

Full Changelog: https://github.com/actions/setup-python/compare/v4...v4.8.0

v4.7.1

What's Changed

Full Changelog: https://github.com/actions/setup-python/compare/v4...v4.7.1

v4.7.0

In scope of this release, the support for reading python version from pyproject.toml was added (actions/setup-python#669).

      - name: Setup Python
        uses: actions/setup-python@v4
</tr></table> 

... (truncated)

Commits


Updates actions/upload-artifact from 3 to 4

Release notes

Sourced from actions/upload-artifact's releases.

v4.0.0

What's Changed

The release of upload-artifact@v4 and download-artifact@v4 are major changes to the backend architecture of Artifacts. They have numerous performance and behavioral improvements.

For more information, see the @​actions/artifact documentation.

New Contributors

Full Changelog: https://github.com/actions/upload-artifact/compare/v3...v4.0.0

v3.1.3

What's Changed

Full Changelog: https://github.com/actions/upload-artifact/compare/v3...v3.1.3

v3.1.2

  • Update all @actions/* NPM packages to their latest versions- #374
  • Update all dev dependencies to their most recent versions - #375

v3.1.1

  • Update actions/core package to latest version to remove set-output deprecation warning #351

v3.1.0

What's Changed

Commits


Updates actions/download-artifact from 3 to 4

Release notes

Sourced from actions/download-artifact's releases.

v4.0.0

What's Changed

The release of upload-artifact@v4 and download-artifact@v4 are major changes to the backend architecture of Artifacts. They have numerous performance and behavioral improvements.

For more information, see the @​actions/artifact documentation.

New Contributors

Full Changelog: https://github.com/actions/download-artifact/compare/v3...v4.0.0

v3.0.2

  • Bump @actions/artifact to v1.1.1 - actions/download-artifact#195
  • Fixed a bug in Node16 where if an HTTP download finished too quickly (<1ms, e.g. when it's mocked) we attempt to delete a temp file that has not been created yet actions/toolkit#1278

v3.0.1

Commits
  • f44cd7b Merge pull request #259 from actions/robherley/glob-downloads
  • 3181fe8 add some migration docs
  • aaaac7b licensed cache
  • 7c9182f update readme
  • b94e701 licensed cache
  • 0b55470 add test case for globbed downloads to same directory
  • 0b51c2e update prettier/eslint versions
  • c4c6db7 support globbing artifact list & merging download directory
  • 1bd0606 Merge pull request #252 from stchr/patch-1
  • eff4d42 fix default for run-id
  • Additional commits viewable in compare view


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github-actions[bot] commented 8 months ago
(benchmark 7379188418 / attempt 1) Base results / Our results / Change Model Size Dump Time Load Time
sklearn rf 20M 23.4 MiB / 3.0 MiB / 7.67 x 0.01 s / 0.03 s / 2.39 x 0.01 s / 0.03 s / 3.40 x
sklearn rf 20M lzma 6.6 MiB / 2.0 MiB / 3.27 x 9.88 s / 0.89 s / 0.09 x 0.41 s / 0.15 s / 0.37 x
sklearn rf 200M 238.8 MiB / 30.8 MiB / 7.75 x 0.07 s / 0.22 s / 3.13 x 0.13 s / 0.31 s / 2.34 x
sklearn rf 200M lzma 48.0 MiB / 14.8 MiB / 3.24 x 75.38 s / 15.54 s / 0.21 x 3.17 s / 1.14 s / 0.36 x
sklearn rf 1G 1302.2 MiB / 168.0 MiB / 7.75 x 0.35 s / 1.11 s / 3.22 x 0.76 s / 1.48 s / 1.94 x
sklearn rf 1G lzma 260.5 MiB / 99.2 MiB / 2.63 x 409.66 s / 96.43 s / 0.24 x 16.44 s / 6.81 s / 0.41 x
sklearn gb 2M 2.5 MiB / 1.1 MiB / 2.16 x 0.02 s / 0.24 s / 9.85 x 0.03 s / 0.21 s / 7.04 x
sklearn gb 2M lzma 0.6 MiB / 0.2 MiB / 3.78 x 0.81 s / 0.33 s / 0.41 x 0.07 s / 0.22 s / 3.29 x
lgbm gbdt 2M 2.6 MiB / 1.0 MiB / 2.78 x 0.04 s / 0.17 s / 3.91 x 0.01 s / 0.08 s / 9.36 x
lgbm gbdt 2M lzma 0.9 MiB / 0.5 MiB / 1.90 x 1.07 s / 0.36 s / 0.34 x 0.06 s / 0.11 s / 1.93 x
lgbm gbdt 5M 5.3 MiB / 1.9 MiB / 2.81 x 0.09 s / 0.37 s / 4.32 x 0.02 s / 0.17 s / 8.37 x
lgbm gbdt 5M lzma 1.7 MiB / 0.8 MiB / 1.96 x 2.83 s / 0.77 s / 0.27 x 0.11 s / 0.22 s / 2.05 x
lgbm gbdt 20M 22.7 MiB / 7.6 MiB / 3.00 x 0.34 s / 1.43 s / 4.27 x 0.07 s / 0.73 s / 10.35 x
lgbm gbdt 20M lzma 6.3 MiB / 3.0 MiB / 2.09 x 16.23 s / 3.58 s / 0.22 x 0.41 s / 0.91 s / 2.20 x
lgbm gbdt 100M 101.1 MiB / 33.0 MiB / 3.06 x 1.51 s / 6.28 s / 4.16 x 0.29 s / 36.71 s / 126.27 x
lgbm gbdt 100M lzma 25.6 MiB / 10.6 MiB / 2.41 x 64.66 s / 16.96 s / 0.26 x 1.64 s / 3.74 s / 2.27 x
lgbm rf 10M 10.9 MiB / 3.2 MiB / 3.46 x 0.15 s / 0.38 s / 2.61 x 0.03 s / 0.28 s / 10.08 x
lgbm rf 10M lzma 0.7 MiB / 0.4 MiB / 1.86 x 1.21 s / 0.58 s / 0.47 x 0.08 s / 0.30 s / 3.56 x