Factual package intelligence from PyPI

prisma-ml 0.1.1 package intelligence

This library automates data summarization, feature selection, and model evaluation, allowing you to focus on building and refining your models.

pip install prisma-ml

Current version
0.1.1
Python requirement
<4.0,>=3.9
License
Apache 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
34.0 KiB
Release history
4 releases with files
Median release cadence
2 days

prisma-ml dependencies

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

  1. scikit-learn <2.0.0,>=1.3.2
  2. pandas <3.0.0,>=2.1.4
  3. numpy <2.0.0,>=1.26.3
  4. rich <14.0.0,>=13.7.0
  5. seaborn <0.14.0,>=0.13.1

Compatibility and release files

prisma-ml publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 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 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.

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