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biosphere

Simple, fast random forests

  • 0.3.0
  • PyPI
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Biosphere

Simple, fast random forests.

Random forests with a runtime of O(n d log(n) + n_estimators d n max_depth) instead of O(n_estimators mtry n log(n) max_depth).

biosphere is available as a rust crate and as a Python package.

Benchmarks

Ran on an M1 Pro with n_jobs=4. Wall-time to fit a Random Forest including OOB score with 400 trees to the NYC Taxi dataset, minimum over 10 runs. After feature engineering, the dataset consists of 5 numerical and 7 one-hot encoded features.

model100020004000800016000320006400012800025600051200010240002048000
biosphere0.04s0.08s0.15s0.32s0.65s1.40s2.97s6.48s15.53s37.91s96.69s231.82s
scikit-learn0.28s0.34s0.46s0.69s1.23s2.47s4.99s10.49s22.11s51.04s118.95s271.03s

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