A simple decision tree and random forest library using a Rust backend.
pip install coppice
import numpy as np
from coppice import _coppice
x = ... # [w, n]
y = ... # [n]
x = x.astype(np.float32)
y = y.astype(np.uint32)
_coppice.train_tree_np(x, y, max_depth=5)
_coppice.train_forest_np(x, y, max_depth=5, num_trees=10)
usage: coppice_ [-h] [--model-type {tree,forest}] [--num-trees NUM_TREES]
[--max-depth MAX_DEPTH]
x-path y-path
positional arguments:
x-path
y-path
options:
-h, --help show this help message and exit
--model-type {tree,forest}
--num-trees NUM_TREES
--max-depth MAX_DEPTH
git clone git@github.com:JBwdn/coppice.git
cd coppice
pip install -e ".[dev]"
maturin develop
pre-commit install
FAQs
A python and rust decision tree library
We found that coppice demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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