Factual package intelligence from PyPI

machine-learning-datasets 0.1.23 package intelligence

A simple library for loading machine learning datasets and performing some common machine learning interpretation functions. Built for the book "Interpretable Machine Learning with Python, 2E".

pip install machine-learning-datasets

Current version
0.1.23
Python requirement
>=3.9,<3.13
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
82.2 KiB
Release history
5 releases with files
Median release cadence
8 days

machine-learning-datasets dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=1.5.3,<2.0.0
  2. numpy >=1.23.5,<2.0.0
  3. scikit-learn >=1.2.2,<2.0.0
  4. matplotlib >=3.7.1,<4.0.0
  5. scipy >=1.11.3,<2.0.0
  6. opencv-python >=4.5.1,<5.0.0
  7. torchvision >=0.16.0,<0.17.0
  8. seaborn >=0.12.2,<0.13.0
  9. requests >=2.31.0

Compatibility and release files

machine-learning-datasets publishes 1 wheel and 1 source archive for version 0.1.23. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 5 releases 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 . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.