scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Inconsistency between LDA and QDA covariance estimation
- Standardized input produces different prediction for decision tree than original input
- MRG Logistic regression preconditioning
- CountVectorizer integration with ColumnTransformer is unintuitive
- Should fetch_openml's categoricals be ordered?
- Use Bit Vectors for binary Vectorizers instead of float
- Scaling issues in l-bfgs for LogisticRegression
- FYI/RFC: MLR Pipeline infrastructure and fit.transform vs fit_transform
- [MRG] BUG: enforce row-wise arg max of decision function=predicted class
- Supervised discretization
- Docs
- Python not yet supported