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.
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 pytestTo upload to PyPi see PUBLISH.md