sklearn.metrics.roc_auc_score(y_true, y_score, average='macro', sample_weight=None)

sklearn.model_selection.cross_val_predict(estimator, X, y=None, groups=None, cv=None, n_jobs=1, verbose=0, fit_params=None

class sklearn.gaussian_process.kernels.RBF(length_scale=1.0, length_scale_bounds=(1e-05, 100000.0))

class sklearn.linear_model.RandomizedLogisticRegression(C=1, scaling=0.5, sample_fraction=0.75, n_resampling=200

sklearn.metrics.pairwise.chi2_kernel(X, Y=None, gamma=1.0)

Warning DEPRECATED

class sklearn.covariance.OAS(store_precision=True, assume_centered=False)

class sklearn.linear_model.SGDClassifier(loss='hinge', penalty='l2', alpha=0.0001, l1_ratio=0.15, fit_intercept=True, n_iter=5,

sklearn.svm.libsvm.predict_proba() Predict probabilities svm_model stores all parameters needed to

class sklearn.decomposition.TruncatedSVD(n_components=2, algorithm='randomized', n_iter=5, random_state=None, tol=0.0)