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pypi.org : interpret
Fit interpretable models. Explain blackbox machine learning.
Registry
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Source
- Documentation
- JSON
purl: pkg:pypi/interpret
Keywords:
ai
, artificial-intelligence
, bias
, blackbox
, differential-privacy
, explainability
, explainable-ai
, explainable-ml
, gradient-boosting
, iml
, interpretability
, interpretable-ai
, interpretable-machine-learning
, interpretable-ml
, interpretml
, machine-learning
, scikit-learn
, transparency
, xai
License: MIT
Latest release: 2 days ago
First release: about 6 years ago
Dependent packages: 24
Dependent repositories: 95
Downloads: 248,649 last month
Stars: 5,979 on GitHub
Forks: 706 on GitHub
Docker dependents: 15
Docker downloads: 81,564
Total Commits: 2823
Committers: 44
Average commits per author: 64.159
Development Distribution Score (DDS): 0.53
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: about 1 hour ago