scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Run itrees in parallel during prediction.
- Add Matrix Profile algorithm to scikit-learn
- Avoid memory copies in linear_model when fit_intercept=False
- GaussianProcessRegressor multi-output underlying mechanics?
- Use of target_names in example datasets is inconsistent
- Kernel Linear Discriminant Analysis
- Change default copy value from True to None
- Add non-strict mode to check_estimator
- [MRG] decision_path and apply for all tree-based ensemble model classes.
- Error when computing the gradient of a derivative with Gaussian process regression in scikit
- Docs
- Python not yet supported