Factual package intelligence from PyPI

maestros 0.1.1 package intelligence

A package for splitting multilabel datasets into train and test sets, while preserving the distribution of labels and keeping samples from the same group together. Includes a report and chart for visualizing the stratification.

pip install maestros

Current version
0.1.1
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
13.2 KiB
Release history
2 releases with files
Median release cadence
10 days

maestros dependencies

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

  1. numpy >=1.19.5
  2. pandas >=1.1.5
  3. scikit-learn >=0.24.2
  4. iterative-stratification >=0.1.6
  5. matplotlib >=3.3.4

Compatibility and release files

maestros publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .