Factual package intelligence from PyPI

fastridge 1.2.0 package intelligence

Fast and robust approach to ridge regression with simultaneous estimation of model parameters and hyperparameter tuning within a Bayesian framework via expectation-maximization (EM).

pip install fastridge

Current version
1.2.0
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
22.4 KiB
Release history
3 releases with files
Median release cadence
438 days

fastridge dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.5
  2. scipy >=1.8.1
  3. scikit-learn >=1.2

Compatibility and release files

fastridge publishes 1 wheel and 1 source archive for version 1.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 3 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 .