class sklearn.svm.SVR(kernel='rbf', degree=3, gamma='auto', coef0=0.0, tol=0.001, C=1.0, epsilon=0.1, shrinking=True, cache_size=200, verbose=False

sklearn.feature_selection.mutual_info_classif(X, y, discrete_features='auto', n_neighbors=3, copy=True, random_state=None)

sklearn.feature_selection.f_classif(X, y)

sklearn.metrics.label_ranking_average_precision_score(y_true, y_score)

sklearn.random_projection.johnson_lindenstrauss_min_dim(n_samples, eps=0.1)

Warning DEPRECATED

sklearn.metrics.accuracy_score(y_true, y_pred, normalize=True, sample_weight=None)

class sklearn.gaussian_process.kernels.ExpSineSquared(length_scale=1.0, periodicity=1.0, length_scale_bounds=(1e-05

sklearn.metrics.log_loss(y_true, y_pred, eps=1e-15, normalize=True, sample_weight=None, labels=None)

class sklearn.cluster.AgglomerativeClustering(n_clusters=2, affinity='euclidean', memory=Memory(cachedir=None), connectivity=None