Factual package intelligence from PyPI

brminer 0.0.3 package intelligence

BaggingRandomMiner is an ensemble of weak one-class classifiers based on dissimilarities. In the training phase, every weak classifier is built using Bagging and computing a threshold of dissimilarities. In the classification phase, the classification scores of the weak classifie

pip install brminer

Current version
0.0.3
Python requirement
>=2.7
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
7.8 KiB
Release history
3 releases with files
Median release cadence
2 days

brminer dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn
  2. pandas
  3. numpy

Compatibility and release files

brminer publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .