scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Add conformal prediction functionality
- No hyperparameter optimization example/tutorial incorporating warmstart
- Lack of comparisons between regression forest split criteria
- ENH: Conditional Density Estimation Loss - New Decision Tree Criterion
- target_names in dataset loaders can mean "unique classes" or "target columns"
- check_estimator assumes too much about 3rd-party estimators
- DBSCAN output seems to be wrong in precomputed method
- LDA and QDA covariance_ attributes are inconsistent and misleading
- GridSearchCV and RandomizedSearchCV: option to compute a single score from all CV splits
- Unable to Take Cartesian Products of Many Arrays
- Docs
- Python not yet supported