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sklearn.covariance.EllipticEnvelope — scikit-le...
the mean accuracy on the given test data and labels. score_samples...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
sklearn.linear_model.LogisticRegressionCV — sci...
scoring option on the given test data and labels. set_fit_request...scoring option on the given test data and labels. Parameters...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
sklearn.linear_model.RidgeClassifier — scikit-l...
the mean accuracy on the given test data and labels. set_fit_request...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html -
sklearn.naive_bayes.GaussianNB — scikit-learn 1...
classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
sklearn.linear_model.ElasticNetCV — scikit-lear...
are tested by cross-validation and the one giving the best prediction...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
sklearn.naive_bayes.BernoulliNB — scikit-learn ...
classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
Supervised learning: predicting an output varia...
iris_X_test = iris_X [ indices [ - 10 :]] >>> iris_y_test = iris_y...predict ( diabetes_X_test ) - diabetes_y_test ) ** 2 ) 2004.5......scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html -
sklearn.ensemble.GradientBoostingClassifier — s...
X_test = X [: 2000 ], X [ 2000 :] >>> y_train , y_test = y...y_train ) >>> clf . score ( X_test , y_test ) 0.913... Methods apply...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
sklearn.neural_network.MLPRegressor — scikit-le...
X_test , y_train , y_test = train_test_split ( X ,...-7.1...]) >>> regr . score ( X_test , y_test ) 0.4... Methods fit (X,...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
glossary.rst.txt
common tests This refers to the tests run on almost every...``(train_idx, test_idx)`` pairs. Each of {train,test}_idx is a 1d...scikit-learn.org/stable/_sources/glossary.rst.txt