scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- MAINT Introduce `BaseTree` as a base abstraction for `Tree`
- MAINT Split Tree into a `BaseTree` and a `Tree` subclass to allow easier inheritance
- Make it easier to overload the `fit_methods` in `check_param_validation`
- MAINT Refactor `Splitter` into a `BaseSplitter`
- RFC refactoring of PartialDependenceDisplay
- Davies-Bouldin Index implementation is incomplete
- Instability in fastica for float32
- Feature request: an additional config context for forcing conversion toward a specific Array API-compatible array library.
- MAINT Split `Splitter` into a `BaseSplitter` and a `Splitter` subclass to allow easier inheritance
- Dirichlet Multinomial Mixture Model
- Docs
- Python not yet supported