svm.SVR()
  • References/Python/scikit-learn/API Reference/svm

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

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sklearn.feature_extraction.image.reconstruct_from_patches_2d()
  • References/Python/scikit-learn/API Reference/feature_extraction

sklearn.feature_extraction.image.reconstruct_from_patches_2d(patches, image_size)

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sklearn.datasets.make_multilabel_classification()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.make_multilabel_classification(n_samples=100, n_features=20, n_classes=5, n_labels=2, length=50

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preprocessing.LabelBinarizer()
  • References/Python/scikit-learn/API Reference/preprocessing

class sklearn.preprocessing.LabelBinarizer(neg_label=0, pos_label=1, sparse_output=False)

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decomposition.RandomizedPCA()
  • References/Python/scikit-learn/API Reference/decomposition

Warning DEPRECATED

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sklearn.metrics.log_loss()
  • References/Python/scikit-learn/API Reference/metrics

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

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sklearn.metrics.hinge_loss()
  • References/Python/scikit-learn/API Reference/metrics

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

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sklearn.datasets.make_spd_matrix()
  • References/Python/scikit-learn/API Reference/datasets

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

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cross_validation.StratifiedShuffleSplit()
  • References/Python/scikit-learn/API Reference/cross_validation

Warning DEPRECATED

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ensemble.IsolationForest()
  • References/Python/scikit-learn/API Reference/ensemble

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

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