Factual package intelligence from PyPI

trilearn 2.0.5 package intelligence

Bayesian predictive classification and structure learning in decomposable graphical models using particle Gibbs.

pip install trilearn

Current version
2.0.5
Python requirement
>3.0
License
Apache 2.0
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
77.0 KiB
Release history
19 releases with files
Median release cadence
24 days

trilearn dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. seaborn >=0.12.2
  2. pandas >=2.0.0
  3. numpy >=1.13.0
  4. matplotlib >=3.0.0
  5. ipywidgets >=7.0.0
  6. scipy >=1.0.0
  7. networkx >=3.1
  8. scikit-learn >=0.18.0
  9. tqdm >=4.18.0
  10. pygraphviz >=1.2.0
  11. tabulate
  12. nose2
  13. sphinx-rtd-theme

Compatibility and release files

trilearn publishes 1 wheel and 0 source archives for version 2.0.5. Wheel platform tags: any.

Declared Python classifiers: 3.11.

Release activity and sources

PyPI lists 19 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 .