Factual package intelligence from PyPI

PyImpetus 4.1.2 package intelligence

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

pip install pyimpetus

Current version
4.1.2
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
22.1 KiB
Release history
27 releases with files
Median release cadence
1 days

PyImpetus dependencies

PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas
  2. scikit-learn
  3. numpy
  4. joblib

Compatibility and release files

PyImpetus publishes 1 wheel and 1 source archive for version 4.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7.

Metadata completeness

PyPI does not currently declare: Python requirement, license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 27 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .