class sklearn.exceptions.DataConversionWarning

A two-dimensional classification example showing iso-probability lines for the predicted probabilities.

This example uses the only the first feature of the diabetes dataset, in order to illustrate a two-dimensional plot of this regression technique. The

sklearn.decomposition.sparse_encode(X, dictionary, gram=None, cov=None, algorithm='lasso_lars', n_nonzero_coefs=None, alpha=None

sklearn.calibration.calibration_curve(y_true, y_prob, normalize=False, n_bins=5)

Compute the segmentation of a 2D image with Ward hierarchical clustering. The clustering is spatially constrained in

class sklearn.cluster.SpectralClustering(n_clusters=8, eigen_solver=None, random_state=None, n_init=10, gamma=1.0, affinity='rbf'

class sklearn.discriminant_analysis.LinearDiscriminantAnalysis(solver='svd', shrinkage=None, priors=None,

class sklearn.tree.DecisionTreeRegressor(criterion='mse', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1

Warning DEPRECATED