Quantco / slim-trees

Pickle your ML models more efficiently for deployment 🚀
MIT License
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Bump actions/github-script from 6 to 7 #94

Closed dependabot[bot] closed 11 months ago

dependabot[bot] commented 11 months ago

Bumps actions/github-script from 6 to 7.

Release notes

Sourced from actions/github-script's releases.

v7.0.0

What's Changed

New Contributors

Full Changelog: https://github.com/actions/github-script/compare/v6.4.1...v7.0.0

v6.4.1

What's Changed

New Contributors

Full Changelog: https://github.com/actions/github-script/compare/v6.4.0...v6.4.1

v6.4.0

What's Changed

New Contributors

Full Changelog: https://github.com/actions/github-script/compare/v6.3.3...v6.4.0

v6.3.3

What's Changed

New Contributors

Full Changelog: https://github.com/actions/github-script/compare/v6.3.2...v6.3.3

v6.3.2

What's Changed

... (truncated)

Commits
  • e69ef54 Merge pull request #425 from actions/joshmgross/node-20
  • ee0914b Update licenses
  • d6fc56f Use @types/node for Node 20
  • 384d6cf Fix quotations in tests
  • 8472492 Only validate GraphQL previews
  • 84903f5 Remove node-fetch from type
  • 5349cf9 Merge branch 'main' into joshmgross/node-20
  • ecae9eb Merge pull request #402 from typed-actions/export-types
  • 044ebbb Merge branch 'main' into export-types
  • 6b5d3ea Merge pull request #429 from robandpdx/add-base-url-option
  • Additional commits viewable in compare view


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github-actions[bot] commented 11 months ago
(benchmark 6854331389 / 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 0.02 s / 0.03 s / 1.98 x 0.02 s / 0.03 s / 1.37 x
sklearn rf 20M lzma 6.6 MiB / 2.0 MiB / 3.27 x 9.80 s / 0.86 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 0.15 s / 0.23 s / 1.54 x 0.23 s / 0.36 s / 1.55 x
sklearn rf 200M lzma 48.0 MiB / 14.8 MiB / 3.24 x 75.28 s / 15.02 s / 0.20 x 3.16 s / 1.15 s / 0.36 x
sklearn rf 1G 1302.2 MiB / 168.0 MiB / 7.75 x 0.85 s / 1.14 s / 1.34 x 1.26 s / 1.84 s / 1.46 x
sklearn rf 1G lzma 259.6 MiB / 99.2 MiB / 2.62 x 370.22 s / 81.31 s / 0.22 x 16.17 s / 6.83 s / 0.42 x
sklearn gb 2M 2.5 MiB / 1.1 MiB / 2.16 x 0.02 s / 0.20 s / 9.43 x 0.05 s / 0.23 s / 4.23 x
sklearn gb 2M lzma 0.6 MiB / 0.2 MiB / 3.80 x 0.77 s / 0.34 s / 0.44 x 0.07 s / 0.21 s / 3.22 x
lgbm gbdt 2M 2.6 MiB / 1.0 MiB / 2.78 x 0.06 s / 0.18 s / 3.20 x 0.01 s / 0.08 s / 9.72 x
lgbm gbdt 2M lzma 0.9 MiB / 0.5 MiB / 1.90 x 0.97 s / 0.36 s / 0.37 x 0.06 s / 0.11 s / 1.91 x
lgbm gbdt 5M 5.3 MiB / 1.9 MiB / 2.81 x 0.11 s / 0.37 s / 3.29 x 0.02 s / 0.17 s / 9.85 x
lgbm gbdt 5M lzma 1.7 MiB / 0.8 MiB / 1.96 x 2.31 s / 0.77 s / 0.34 x 0.11 s / 0.22 s / 2.02 x
lgbm gbdt 20M 22.7 MiB / 7.6 MiB / 3.00 x 0.46 s / 1.49 s / 3.23 x 0.08 s / 0.71 s / 9.30 x
lgbm gbdt 20M lzma 6.3 MiB / 3.0 MiB / 2.09 x 12.85 s / 3.60 s / 0.28 x 0.42 s / 0.88 s / 2.12 x
lgbm gbdt 100M 101.1 MiB / 33.0 MiB / 3.06 x 2.18 s / 6.78 s / 3.11 x 0.38 s / 43.47 s / 115.81 x
lgbm gbdt 100M lzma 25.6 MiB / 10.6 MiB / 2.41 x 65.08 s / 17.91 s / 0.28 x 1.68 s / 3.71 s / 2.21 x
lgbm rf 10M 10.9 MiB / 3.2 MiB / 3.46 x 0.23 s / 0.46 s / 2.02 x 0.03 s / 0.26 s / 9.03 x
lgbm rf 10M lzma 0.7 MiB / 0.4 MiB / 1.86 x 1.31 s / 0.67 s / 0.51 x 0.08 s / 0.30 s / 3.55 x