pypi.org : te2rules
Python Library to explain tree ensembles using rules
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Source
- Documentation
- JSON
purl: pkg:pypi/te2rules
Keywords:
explainability
, explainable-ai
, interpretability
, interpretable-ai
, machine-learning
, random-forest
, rule-learning
, tree-ensembles
, xgboost
License: CC-BY-NC-4.0
Latest release: over 1 year ago
First release: about 3 years ago
Downloads: 475 last month
Stars: 57 on GitHub
Forks: 6 on GitHub
Total Commits: 86
Committers: 2
Average commits per author: 43.0
Development Distribution Score (DDS): 0.047
More commit stats: commits.ecosyste.ms
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Last synced: 23 days ago