Factual package intelligence from PyPI

bonsai-tree 1.2 package intelligence

Bayesian Optimization + Gradient Boosted Trees

pip install bonsai-tree

Current version
1.2
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.2 KiB
Release history
2 releases with files
Median release cadence
0 days

bonsai-tree dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. xgboost >=0.90
  2. catboost >=0.26
  3. bayesian-optimization >=1.2.0
  4. numpy >=1.19.5
  5. pandas >=1.1.5
  6. matplotlib >=3.2.2
  7. seaborn >=0.11.1
  8. plotly >=4.4.1
  9. pyyaml >=5.4.1

Compatibility and release files

bonsai-tree publishes 1 wheel and 1 source archive for version 1.2. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7, 3.8.

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 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 .