sklearn.model_selection.check_cv(cv=3, y=None, classifier=False)

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

class sklearn.model_selection.StratifiedKFold(n_splits=3, shuffle=False, random_state=None)

sklearn.datasets.make_spd_matrix(n_dim, random_state=None)

sklearn.datasets.make_sparse_coded_signal(n_samples, n_components, n_features, n_nonzero_coefs, random_state=None)

class sklearn.manifold.TSNE(n_components=2, perplexity=30.0, early_exaggeration=4.0, learning_rate=1000.0, n_iter=1000, n_iter_without_progress=30

Warning DEPRECATED

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.svm.libsvm.predict() Predict target values of X given a model (low-level method)

sklearn.feature_selection.f_classif(X, y)