forestfire
forestfire is a Python package for tree-based learning backed by a Rust core.
Current capabilities:
- decision trees
- random forests
- gradient boosting
- classification and regression
- sklearn-compatible estimator wrappers
- optimized inference runtimes
- model introspection and export
Example:
import numpy as np
from forestfire import train
X = np.array([[0.0], [0.0], [1.0], [1.0]])
y = np.array([0.0, 0.0, 1.0, 1.0])
model = train(X, y, task="classification", tree_type="cart")
print(model.predict(X))
print(model.predict_proba(X))
Sklearn-style wrappers are also available:
from forestfire.tree import CARTClassifier
from forestfire.forest import CARTRandomForestRegressor
from forestfire.gbm import ObliviousGBMRegressor
Common missing-value markers such as None, np.nan, pandas/NumPy NaN, and
polars nulls are handled automatically during training and prediction.
The source repository, documentation, and issue tracker live at:
1 maintainer
Metadata
1 maintainer
Release files for forestfire-ml 0.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| forestfire_ml-0.7.1.tar.gz | 177.9 kB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| forestfire_ml-0.7.1-cp313-cp313-win_amd64.whl | CPython 3.13 | CPython 3.13 | Windows x86-64 | Details |
| forestfire_ml-0.7.1-cp313-cp313-manylinux_2_34_x86_64.whl | CPython 3.13 | CPython 3.13 | Linux glibc 2.34+ x86-64 | Details |
| forestfire_ml-0.7.1-cp313-cp313-macosx_11_0_arm64.whl | CPython 3.13 | CPython 3.13 | macOS 11.0+ ARM64 | Details |
| forestfire_ml-0.7.1-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details |
| forestfire_ml-0.7.1-cp312-cp312-manylinux_2_34_x86_64.whl | CPython 3.12 | CPython 3.12 | Linux glibc 2.34+ x86-64 | Details |
| forestfire_ml-0.7.1-cp312-cp312-macosx_11_0_arm64.whl | CPython 3.12 | CPython 3.12 | macOS 11.0+ ARM64 | Details |
Total release size: 11.8 MB
Release files / forestfire_ml-0.7.1.tar.gz
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| Size | 1.8 MB |
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