Factual package intelligence from PyPI

GAparsimony 0.0.15 package intelligence

Combines feature selection, model tuning, and parsimonious model selection with GA optimization. GA selection procedure is based on separate cost and complexity evaluations. Therefore, the best individuals are initially sorted by an error fitness function, and afterwards, models

pip install gaparsimony

Current version
0.0.15
Python requirement
>=3.7
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
90.5 KiB
Release history
10 releases with files
Median release cadence
8 days

GAparsimony dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. pandas
  3. seaborn
  4. matplotlib
  5. sklearn

Compatibility and release files

GAparsimony publishes 1 wheel and 1 source archive for version 0.0.15. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .