Factual package intelligence from PyPI

riemannian-stats 0.1.1 package intelligence

Riemannian STATS is a package for applying Principal Component Analysis on Riemannian manifolds using UMAP-derived local geometry, enabling powerful dimensionality reduction and visualization for any type of data.

pip install riemannian-stats

Current version
0.1.1
Python requirement
>=3.8
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
10.8 MiB
Release history
2 releases with files
Median release cadence
1 days

riemannian-stats dependencies

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

  1. matplotlib <3.11,>=3.7.5
  2. numpy <3.0,>=1.24.4
  3. pandas <2.3,>=2.0.3
  4. scikit-learn <1.7,>=1.3.2
  5. umap-learn <0.6,>=0.5.7

Compatibility and release files

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

No version-specific Python classifiers are declared.

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 .