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sklearn.linear_model.LassoCV — scikit-learn 1.4...
test) splits as arrays of indices....n_folds) Mean square error for the test set on each fold, varying alpha....scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.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.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 -
sklearn.datasets.fetch_species_distributions — ...
in degrees test record array, shape = (620,) The test points for...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.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.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 -
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 -
Installing the development version of scikit-le...
Test dependencies Running tests requires: pytest...dependencies Build dependencies Test dependencies Building a specific...scikit-learn.org/stable/developers/advanced_installation.html -
sklearn.covariance.GraphicalLassoCV — scikit-le...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html -
sklearn.dummy.DummyRegressor — scikit-learn 1.4...
n_features) Test samples. Passing None as test samples gives...return_std]) Perform classification on test vectors X. score (X, y[, sample_weight])...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html