Quantco / slim-trees

Pickle your ML models more efficiently for deployment 🚀
MIT License
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Create LICENSE #37

Closed pavelzw closed 1 year ago

github-actions[bot] commented 1 year ago
(benchmark 4469779424 / attempt 1) Base results / Our results / Change Model Size Dump Time Load Time
sklearn rf 77.2 MiB / 11.1 MiB / 6.94 x 0.04 s / 0.10 s / 2.35 x 0.06 s / 0.10 s / 1.76 x
sklearn rf LZMA 17.3 MiB / 5.3 MiB / 3.25 x 34.60 s / 5.18 s / 0.15 x 1.63 s / 0.57 s / 0.35 x
sklearn gb 2.2 MiB / 1.1 MiB / 2.08 x 0.03 s / 0.17 s / 5.79 x 0.03 s / 0.13 s / 3.83 x
sklearn gb LZMA 0.6 MiB / 0.2 MiB / 3.82 x 0.92 s / 0.36 s / 0.39 x 0.09 s / 0.14 s / 1.65 x
LGBM gbdt 5.3 MiB / 1.9 MiB / 2.81 x 0.16 s / 0.39 s / 2.44 x 0.02 s / 0.31 s / 12.73 x
LGBM gbdt LZMA 1.7 MiB / 0.8 MiB / 1.96 x 3.03 s / 0.96 s / 0.31 x 0.16 s / 0.38 s / 2.37 x
LGBM gbdt large 57.6 MiB / 18.9 MiB / 3.05 x 1.68 s / 4.13 s / 2.46 x 0.29 s / 3.38 s / 11.64 x
LGBM gbdt large LZMA 15.3 MiB / 6.7 MiB / 2.29 x 40.42 s / 11.55 s / 0.29 x 1.53 s / 3.82 s / 2.50 x
LGBM rf 1.6 MiB / 0.5 MiB / 3.42 x 0.05 s / 0.08 s / 1.84 x 0.01 s / 0.08 s / 13.01 x
LGBM rf LZMA 0.1 MiB / 0.1 MiB / 1.70 x 0.23 s / 0.12 s / 0.53 x 0.02 s / 0.08 s / 4.26 x