Skip to main content

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


See install instructions.


See example for basic usage.


Function references can be found in our docs.


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

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rerf-2.0.5.tar.gz (70.5 kB view hashes)

Uploaded Source

Built Distribution

rerf-2.0.5-cp37-cp37m-macosx_10_14_x86_64.whl (223.7 kB view hashes)

Uploaded CPython 3.7m macOS 10.14+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page