class sklearn.multioutput.MultiOutputRegressor(estimator, n_jobs=1)

sklearn.datasets.get_data_home(data_home=None)

sklearn.metrics.label_ranking_average_precision_score(y_true, y_score)

sklearn.preprocessing.label_binarize(y, classes, neg_label=0, pos_label=1, sparse_output=False)

class sklearn.decomposition.FastICA(n_components=None, algorithm='parallel', whiten=True, fun='logcosh', fun_args=None, max_iter=200

sklearn.metrics.pairwise_distances_argmin(X, Y, axis=1, metric='euclidean', batch_size=500, metric_kwargs=None)

sklearn.metrics.hinge_loss(y_true, pred_decision, labels=None, sample_weight=None)

class sklearn.base.ClusterMixin

sklearn.metrics.make_scorer(score_func, greater_is_better=True, needs_proba=False, needs_threshold=False, **kwargs)

sklearn.metrics.consensus_score(a, b, similarity='jaccard')