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_extraction.image.reconstruct_from_patches_2d(patches, image_size)
sklearn.datasets.make_multilabel_classification(n_samples=100, n_features=20, n_classes=5, n_labels=2, length=50
class sklearn.preprocessing.LabelBinarizer(neg_label=0, pos_label=1, sparse_output=False)
Warning DEPRECATED
sklearn.metrics.log_loss(y_true, y_pred, eps=1e-15, normalize=True, sample_weight=None, labels=None)
sklearn.metrics.hinge_loss(y_true, pred_decision, labels=None, sample_weight=None)
sklearn.datasets.make_spd_matrix(n_dim, random_state=None)
class sklearn.ensemble.IsolationForest(n_estimators=100, max_samples='auto', contamination=0.1, max_features=1.0, bootstrap=False
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