pkgsrc - [no description]

Age	Commit message (Collapse)	Author	Files	Lines
2017-11-21	math/py-scikit-learn: Update to 0.19.1	minskim	3	-43/+48
	Notable new features since 0.18.2: - `neighbors.LocalOutlierFactor` for anomaly detection - `preprocessing.QuantileTransformer` for robust feature transformation - `multioutput.ClassifierChain` meta-estimator to simply account for dependencies between classes in multilabel problem - multiplicative update in `decomposition.NMF` - multinomial `linear_model.LogisticRegression` with L1 loss
2017-11-14	math/py-scikit-learn: Update to 0.18.2	minskim	2	-7/+7
	Changes: - Fixes for compatibility with NumPy 1.13.0 - Minor compatibility changes in the examples
2017-07-05	Import py-scikit-learn-0.18.1 from pkgsrc as math/py-scikit-learn	minskim	4	-0/+1321
	Packaged by Filip Hajny and updated by Kamel Derouiche and me. scikit-learn is a Python module integrating classic machine learning algorithms in the tightly-knit scientific Python world (numpy, scipy, matplotlib). It aims to provide simple and efficient solutions to learning problems, accessible to everybody and reusable in various contexts: machine-learning as a versatile tool for science and engineering.