Factual package intelligence from PyPI

independent-validation 0.1.3 package intelligence

IV is a Python package designed to assess the accuracy of machine learning classifiers by generating a full probability distribution of their performance. This method goes beyond traditional cross-validation by using an iterative process and Markov Chain Monte Carlo (MCMC) to est

pip install independent-validation

Current version
0.1.3
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
202.3 KiB
Release history
9 releases with files
Median release cadence
0 days

independent-validation dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib
  2. numpy
  3. pandas
  4. pytest
  5. scikit-learn
  6. scipy
  7. seaborn

Compatibility and release files

independent-validation publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .