scikit-learn-extra API

Kernel approximation

kernel_approximation.Fastfood([sigma, ...])

Approximates feature map of an RBF kernel by Monte Carlo approximation of its Fourier transform.

EigenPro

kernel_methods.EigenProRegressor([...])	Regression using EigenPro iteration.
kernel_methods.EigenProClassifier([...])	Classification using EigenPro iteration.

Clustering

cluster.KMedoids([n_clusters, metric, ...])	k-medoids clustering.
cluster.CommonNNClustering([eps, ...])	Density-Based common-nearest-neighbors clustering.
cluster.CLARA([n_clusters, metric, init, ...])	CLARA clustering.

Robust

robust.RobustWeightedClassifier([weighting, ...])	Algorithm for robust classification using reweighting algorithm.
robust.RobustWeightedRegressor([weighting, ...])	Algorithm for robust regression using reweighting algorithm.
robust.RobustWeightedKMeans([n_clusters, ...])	Algorithm for robust kmeans clustering using reweighting algorithm.