Factual package intelligence from PyPI

stochastiCV 0.2.1.post1 package intelligence

A method of cross-validation based on scikit-learn that splits data into subsampling or k-folds splits (using random or assigned seed values) and then repeats the model multiple times using different seeds. This function enables a more statistical and scientific method of investi

pip install stochasticv

Current version
0.2.1.post1
Python requirement
Not declared
License
BSD-3
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
31.6 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

stochastiCV dependencies

PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

stochastiCV publishes 1 wheel and 1 source archive for version 0.2.1.post1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .