Randomer Forest (RerF) Python Package

Project description

Randomer Forest (RerF) Python Package

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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This version

2.0.5

Aug 7, 2019

2.0.4

Jun 12, 2019

2.0.3

Jun 3, 2019

2.0.2

May 15, 2019

2.0.2.dev1 pre-release

Jun 3, 2019

2.0.1

May 15, 2019

2.0.1.dev1 pre-release

May 15, 2019

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Download URL: rerf-2.0.5-cp37-cp37m-macosx_10_14_x86_64.whl
Upload date: Aug 7, 2019
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Tags: CPython 3.7m, macOS 10.14+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

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