Factual package intelligence from PyPI

mlguard 0.1.2 package intelligence

A diagnostic toolkit for evaluating machine learning models. MLGuard provides plug-and-play checks for class imbalance, overfitting, multicollinearity, bias detection, and more — built on top of scikit-learn, pandas, and statsmodels.

pip install mlguard

Current version
0.1.2
Python requirement
>=3.7
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
15.1 KiB
Release history
3 releases with files
Median release cadence
11 days

mlguard dependencies

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

  1. numpy
  2. pandas
  3. scikit-learn
  4. matplotlib
  5. statsmodels

Compatibility and release files

mlguard publishes 1 wheel and 1 source archive for version 0.1.2. 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 .