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Quantco / slim-trees

Pickle your ML models more efficiently for deployment 🚀
MIT License
18 stars 1 forks source link

Pre-commit autoupdate #92

Closed quant-ranger[bot] closed 10 months ago

quant-ranger[bot] commented 10 months ago

Updates

Hook Version Update
https://github.com/pre-commit/pre-commit-hooks v4.4.0 → v4.5.0
https://github.com/quantco/pre-commit-mirrors-ruff 0.1.2 → 0.1.3
https://github.com/quantco/pre-commit-mirrors-mypy 1.5.1 → 1.6.1
github-actions[bot] commented 10 months ago
(benchmark 6765538976 / 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 0.03 s / 0.04 s / 1.64 x 0.03 s / 0.04 s / 1.53 x
sklearn rf 20M lzma 6.6 MiB / 2.0 MiB / 3.27 x 14.60 s / 1.17 s / 0.08 x 0.62 s / 0.22 s / 0.36 x
sklearn rf 200M 238.8 MiB / 30.8 MiB / 7.75 x 0.21 s / 0.35 s / 1.66 x 0.28 s / 0.51 s / 1.85 x
sklearn rf 200M lzma 48.0 MiB / 14.8 MiB / 3.24 x 111.01 s / 18.43 s / 0.17 x 4.78 s / 1.73 s / 0.36 x
sklearn rf 1G 1302.2 MiB / 168.0 MiB / 7.75 x 1.55 s / 2.19 s / 1.41 x 1.85 s / 2.61 s / 1.41 x
sklearn rf 1G lzma 259.6 MiB / 99.2 MiB / 2.62 x 588.76 s / 103.60 s / 0.18 x 24.85 s / 10.26 s / 0.41 x
sklearn gb 2M 2.5 MiB / 1.1 MiB / 2.16 x 0.03 s / 0.27 s / 8.74 x 0.04 s / 0.28 s / 7.59 x
sklearn gb 2M lzma 0.6 MiB / 0.2 MiB / 3.80 x 1.17 s / 0.43 s / 0.36 x 0.09 s / 0.26 s / 2.85 x
lgbm gbdt 2M 2.6 MiB / 1.0 MiB / 2.78 x 0.07 s / 0.25 s / 3.35 x 0.01 s / 0.12 s / 9.48 x
lgbm gbdt 2M lzma 0.9 MiB / 0.5 MiB / 1.90 x 1.36 s / 0.50 s / 0.37 x 0.09 s / 0.15 s / 1.81 x
lgbm gbdt 5M 5.3 MiB / 1.9 MiB / 2.81 x 0.14 s / 0.47 s / 3.40 x 0.02 s / 0.24 s / 9.58 x
lgbm gbdt 5M lzma 1.7 MiB / 0.8 MiB / 1.96 x 3.31 s / 1.04 s / 0.31 x 0.16 s / 0.31 s / 1.90 x
lgbm gbdt 20M 22.7 MiB / 7.6 MiB / 3.00 x 0.58 s / 1.84 s / 3.18 x 0.10 s / 1.00 s / 9.55 x
lgbm gbdt 20M lzma 6.3 MiB / 3.0 MiB / 2.09 x 17.67 s / 4.85 s / 0.27 x 0.63 s / 1.24 s / 1.95 x
lgbm gbdt 100M 101.1 MiB / 33.0 MiB / 3.06 x 2.54 s / 8.12 s / 3.19 x 0.50 s / 35.80 s / 72.28 x
lgbm gbdt 100M lzma 25.6 MiB / 10.6 MiB / 2.41 x 81.99 s / 23.74 s / 0.29 x 2.55 s / 5.13 s / 2.01 x
lgbm rf 10M 10.9 MiB / 3.2 MiB / 3.46 x 0.28 s / 0.58 s / 2.03 x 0.04 s / 0.40 s / 9.77 x
lgbm rf 10M lzma 0.7 MiB / 0.4 MiB / 1.86 x 1.93 s / 0.83 s / 0.43 x 0.13 s / 0.43 s / 3.42 x