Factual package intelligence from PyPI

spectrally-regularised-LVMs 0.1.4.post1 package intelligence

A framework of linear LVMs with spectral regularisation.

pip install spectrally-regularised-lvms

Current version
0.1.4.post1
Python requirement
<4.0,>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
69.5 KiB
Release history
5 releases with files
Median release cadence
19 days

spectrally-regularised-LVMs dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.0,>=1.23.1
  2. matplotlib >=3.5.2
  3. scipy >=1.8.1
  4. scikit-learn >=1.1.2
  5. tqdm >=4.64.1
  6. sympy <1.13,>=1.11.1

Compatibility and release files

spectrally-regularised-LVMs publishes 1 wheel and 1 source archive for version 0.1.4.post1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 5 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 .