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Quantco / slim-trees

Pickle your ML models more efficiently for deployment 🚀
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Bump prefix-dev/setup-pixi from 0.5.1 to 0.6.0 in the dependencies group #121

Closed dependabot[bot] closed 4 months ago

dependabot[bot] commented 4 months ago

Bumps the dependencies group with 1 update: prefix-dev/setup-pixi.

Updates prefix-dev/setup-pixi from 0.5.1 to 0.6.0

Release notes

Sourced from prefix-dev/setup-pixi's releases.

v0.6.0

What's Changed

✨ New features

New Contributors

Full Changelog: https://github.com/prefix-dev/setup-pixi/compare/v0.5.2...v0.6.0

v0.5.2

What's Changed

👷🏻 CI

🐛 Bug fixes

📝 Documentation

⬆️ Dependency updates

🤷🏻 Other changes

New Contributors

Full Changelog: https://github.com/prefix-dev/setup-pixi/compare/v0.5.1...v0.5.2

Commits
  • 632d179 Add better support for pyproject.toml pixi projects (#87)
  • 60414de support preinstalled local pixi (#98)
  • 4fc8d82 fix: restoring cache for pyproject.toml (#95)
  • 42f9edd fix: respect frozen/locked inputs for pixi list (#94)
  • 92e1dd3 Reference latest Pixi version in README (#92)
  • 07648b1 Bump the dependencies group with 2 updates (#90)
  • d0cc138 Bump the dependencies group with 4 updates (#89)
  • 3d63506 Reference latest Pixi version in README (#86)
  • 2e317cc Improve multi environment example (#85)
  • 603fd64 Create pull request template (#84)
  • Additional commits viewable in compare view


Dependabot compatibility score

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github-actions[bot] commented 4 months ago
(benchmark 8913455627 / 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 / 2.45 x 0.02 s / 0.03 s / 1.44 x
sklearn rf 20M lzma 6.6 MiB / 2.0 MiB / 3.27 x 10.21 s / 1.02 s / 0.10 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 / 0.24 s / 1.60 x 0.23 s / 0.37 s / 1.59 x
sklearn rf 200M lzma 48.0 MiB / 14.8 MiB / 3.24 x 74.38 s / 13.14 s / 0.18 x 3.12 s / 1.14 s / 0.37 x
sklearn rf 1G 1302.2 MiB / 168.0 MiB / 7.75 x 0.86 s / 1.16 s / 1.36 x 1.25 s / 1.94 s / 1.55 x
sklearn rf 1G lzma 259.6 MiB / 99.2 MiB / 2.62 x 372.93 s / 77.51 s / 0.21 x 16.10 s / 6.78 s / 0.42 x
sklearn gb 2M 2.5 MiB / 1.1 MiB / 2.16 x 0.02 s / 0.22 s / 9.41 x 0.03 s / 0.21 s / 7.54 x
sklearn gb 2M lzma 0.6 MiB / 0.2 MiB / 3.80 x 0.74 s / 0.36 s / 0.49 x 0.07 s / 0.25 s / 3.83 x
lgbm gbdt 2M 2.6 MiB / 1.0 MiB / 2.78 x 0.05 s / 0.18 s / 3.63 x 0.01 s / 0.08 s / 10.44 x
lgbm gbdt 2M lzma 0.9 MiB / 0.5 MiB / 1.90 x 0.88 s / 0.36 s / 0.41 x 0.06 s / 0.11 s / 1.99 x
lgbm gbdt 5M 5.3 MiB / 1.9 MiB / 2.81 x 0.10 s / 0.35 s / 3.64 x 0.02 s / 0.18 s / 10.78 x
lgbm gbdt 5M lzma 1.7 MiB / 0.8 MiB / 1.96 x 2.00 s / 0.70 s / 0.35 x 0.11 s / 0.22 s / 2.07 x
lgbm gbdt 20M 22.7 MiB / 7.6 MiB / 3.00 x 0.38 s / 1.46 s / 3.86 x 0.07 s / 0.72 s / 10.21 x
lgbm gbdt 20M lzma 6.3 MiB / 3.0 MiB / 2.09 x 10.98 s / 3.32 s / 0.30 x 0.40 s / 0.89 s / 2.20 x
lgbm gbdt 100M 101.1 MiB / 33.0 MiB / 3.06 x 1.74 s / 6.48 s / 3.72 x 0.33 s / 17.12 s / 51.49 x
lgbm gbdt 100M lzma 25.6 MiB / 10.6 MiB / 2.41 x 59.10 s / 17.11 s / 0.29 x 1.66 s / 3.74 s / 2.26 x
lgbm rf 10M 10.9 MiB / 3.2 MiB / 3.46 x 0.17 s / 0.41 s / 2.44 x 0.03 s / 0.27 s / 10.33 x
lgbm rf 10M lzma 0.7 MiB / 0.4 MiB / 1.86 x 1.20 s / 0.59 s / 0.49 x 0.08 s / 0.31 s / 3.79 x