Factual package intelligence from PyPI

gbart 0.2.1 package intelligence

A python package to implement Variable Grouping Based Bayesian Additive Regression Tree, associated with ICASSP2020 submitted paper

pip install gbart

Current version
0.2.1
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
68.3 KiB
Release history
6 releases with files
Median release cadence
3 days

gbart dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. joblib
  2. matplotlib
  3. numpy
  4. pandas
  5. scipy
  6. seaborn
  7. sklearn
  8. statsmodels

Compatibility and release files

gbart publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .