class sklearn.ensemble.IsolationForest(n_estimators=100, max_samples='auto', contamination=0.1, max_features=1.0, bootstrap=False

sklearn.datasets.get_data_home(data_home=None)

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

sklearn.metrics.silhouette_samples(X, labels, metric='euclidean', **kwds)

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

class sklearn.covariance.EllipticEnvelope(store_precision=True, assume_centered=False, support_fraction=None, contamination=0.1

sklearn.covariance.shrunk_covariance(emp_cov, shrinkage=0.1)

class sklearn.ensemble.AdaBoostRegressor(base_estimator=None, n_estimators=50, learning_rate=1.0, loss='linear', 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

class sklearn.feature_selection.SelectFpr(score_func=, alpha=0.05)