Quantco / slim-trees

Pickle your ML models more efficiently for deployment 🚀
MIT License
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Pre-commit autoupdate #101

Closed quant-ranger[bot] closed 10 months ago

quant-ranger[bot] commented 10 months ago

Updates

Hook Version Update
https://github.com/quantco/pre-commit-mirrors-ruff 0.1.6 → 0.1.9
https://github.com/quantco/pre-commit-mirrors-mypy 1.7.1 → 1.8.0
github-actions[bot] commented 10 months ago
(benchmark 7374308396 / 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 / 1.37 x 0.02 s / 0.03 s / 1.35 x
sklearn rf 20M lzma 6.6 MiB / 2.0 MiB / 3.27 x 10.13 s / 0.88 s / 0.09 x 0.42 s / 0.15 s / 0.36 x
sklearn rf 200M 238.8 MiB / 30.8 MiB / 7.75 x 0.15 s / 0.22 s / 1.46 x 0.21 s / 0.37 s / 1.70 x
sklearn rf 200M lzma 48.0 MiB / 14.8 MiB / 3.24 x 76.90 s / 15.79 s / 0.21 x 3.20 s / 1.16 s / 0.36 x
sklearn rf 1G 1302.2 MiB / 168.0 MiB / 7.75 x 0.87 s / 1.15 s / 1.33 x 1.25 s / 1.87 s / 1.49 x
sklearn rf 1G lzma 259.6 MiB / 99.2 MiB / 2.62 x 398.56 s / 84.19 s / 0.21 x 16.31 s / 6.88 s / 0.42 x
sklearn gb 2M 2.5 MiB / 1.1 MiB / 2.16 x 0.03 s / 0.23 s / 8.77 x 0.03 s / 0.24 s / 7.87 x
sklearn gb 2M lzma 0.6 MiB / 0.2 MiB / 3.80 x 0.84 s / 0.33 s / 0.39 x 0.07 s / 0.22 s / 3.16 x
lgbm gbdt 2M 2.6 MiB / 1.0 MiB / 2.78 x 0.05 s / 0.18 s / 3.60 x 0.01 s / 0.08 s / 10.16 x
lgbm gbdt 2M lzma 0.9 MiB / 0.5 MiB / 1.90 x 1.09 s / 0.38 s / 0.35 x 0.06 s / 0.13 s / 2.33 x
lgbm gbdt 5M 5.3 MiB / 1.9 MiB / 2.81 x 0.10 s / 0.35 s / 3.46 x 0.02 s / 0.17 s / 10.23 x
lgbm gbdt 5M lzma 1.7 MiB / 0.8 MiB / 1.96 x 2.83 s / 0.81 s / 0.29 x 0.11 s / 0.22 s / 2.01 x
lgbm gbdt 20M 22.7 MiB / 7.6 MiB / 3.00 x 0.40 s / 1.48 s / 3.67 x 0.10 s / 0.71 s / 7.33 x
lgbm gbdt 20M lzma 6.3 MiB / 3.0 MiB / 2.09 x 15.69 s / 3.83 s / 0.24 x 0.44 s / 0.91 s / 2.09 x
lgbm gbdt 100M 101.1 MiB / 33.0 MiB / 3.06 x 1.93 s / 6.60 s / 3.42 x 0.36 s / 30.64 s / 86.12 x
lgbm gbdt 100M lzma 25.6 MiB / 10.6 MiB / 2.41 x 71.21 s / 18.54 s / 0.26 x 1.77 s / 3.72 s / 2.10 x
lgbm rf 10M 10.9 MiB / 3.2 MiB / 3.46 x 0.18 s / 0.42 s / 2.33 x 0.03 s / 0.29 s / 10.71 x
lgbm rf 10M lzma 0.7 MiB / 0.4 MiB / 1.86 x 1.46 s / 0.63 s / 0.43 x 0.08 s / 0.29 s / 3.53 x