sklearn.metrics.pairwise.paired_cosine_distances(X, Y)

Warning DEPRECATED

Warning DEPRECATED

sklearn.svm.libsvm.decision_function() Predict margin (libsvm name for this is predict_values) We

class sklearn.gaussian_process.kernels.RationalQuadratic(length_scale=1.0, alpha=1.0, length_scale_bounds=(1e-05

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

This example illustrates visually in the feature space a comparison by results using two different component analysis techniques.

A comparison of a several classifiers in scikit-learn on synthetic datasets. The point of this example is to illustrate the nature of decision boundaries of different

We show that linear_model.Lasso provides the same results for dense and sparse data and that in the case of sparse data the speed is improved.

Decision Trees (DTs) are a non-parametric supervised learning method used for