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sklearn.mixture.BayesianGaussianMixture — sciki...
log-likelihood of new samples at test time. The shape depends on covariance_type...log-likelihood of new samples at test time. The shape depends on covariance_type...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
sklearn.covariance.OAS — scikit-learn 1.4.2 doc...
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.OAS.html -
sklearn.model_selection.cross_val_predict — sci...
sample belongs to exactly one test set, and its prediction is computed...cross_val_score unless all tests sets have equal size and the...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html -
sklearn.model_selection.RandomizedSearchCV — sc...
the attributes best_index_ , best_score_ and best_params_ will...param_gamma split0_test_score … rank_test_score ‘rbf’ 0.1 0.80...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
1.17. Neural network models (supervised) — scik...
transformation to test data >>> X_test = scaler . transform ( X_test ) An...apply the same scaling to the test set for meaningful results....scikit-learn.org/stable/modules/neural_networks_supervised.html -
sklearn.model_selection.GridSearchCV — scikit-l...
'rank_test_score', 'split0_test_score',... 'split2_test_score',...the attributes best_index_ , best_score_ and best_params_ will...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
sklearn.model_selection.HalvingGridSearchCV — s...
cross-validated score of the best_estimator. best_params_ dict Parameter...that gave the best results on the hold out data. best_index_ int...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html -
sklearn.feature_selection.RFECV — scikit-learn ...
test) splits as arrays of indices....ndarrays A dict with keys: split(k)_test_score ndarray of shape (n_s...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
sklearn.covariance.LedoitWolf — scikit-learn 1....
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.LedoitWolf.html -
sklearn.neural_network.MLPClassifier — scikit-l...
X_test , y_train , y_test = train_test_split ( X ,...1]) >>> clf . score ( X_test , y_test ) 0.8... Methods fit (X,...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html