Scikit-Learn 0.16 is out!
Highlights:
- Speed improvements (notably in
cluster.DBSCAN), reduced memory requirements, bug-fixes and better default settings.- Multinomial Logistic regression and a path algorithm in
linear_model.LogisticRegressionCV.- Out-of core learning of PCA via
decomposition.IncrementalPCA.- Probability callibration of classifiers using
calibration.CalibratedClassifierCV.cluster.Birchclustering method for large-scale datasets.- Scalable approximate nearest neighbors search with Locality-sensitive hashing forests in
neighbors.LSHForest.- Improved error messages and better validation when using malformed input data.
- More robust integration with pandas dataframes.
BTW, improvements are already being listed for Scikit-Learn 0.17.