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Randomer Forest (RerF) Python Package

Project description

Randomer Forest (RerF) Python Package

PyPI version

Randomer Forest combines sparse random projections with the random forest algorithm to achieve high accuracy on a variety of datasets.

Documentation for RerF Python module can be found at rerf.neurodata.io.

Install

See install instructions.

Example

See example for basic usage.

Reference

Function references can be found in our docs.

Tests

We use pytest for Python testing.

Run the tests from command line at the root of the repo (RerF/).

python -m pytest

Publish new version

To upload to PyPi see PUBLISH.md

Project details


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Files for rerf, version 2.0.5
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Filename, size rerf-2.0.5-cp37-cp37m-macosx_10_14_x86_64.whl (223.7 kB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size rerf-2.0.5.tar.gz (70.5 kB) File type Source Python version None Upload date Hashes View

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