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sklearn.gaussian_process.GaussianProcessClassif...
{‘one_vs_rest’, ‘one_vs_one’}, default=’one_vs_rest’ Specifies...are ‘one_vs_rest’ and ‘one_vs_one’. In ‘one_vs_rest’, one binary...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
sklearn.dummy.DummyClassifier — scikit-learn 1....
n_features) Test samples. Passing None as test samples gives...(X) Perform classification on test vectors X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
Contributing — scikit-learn 1.4.2 documentation
sklearn/linear_model/tests/test_logistic.py to run the tests specific to...path/to/tests_for_package see also Testing and improving test coverage...scikit-learn.org/stable/developers/contributing.html -
sklearn.neighbors.NearestCentroid — scikit-lear...
with test samples classified to the class...classification on an array of test vectors X . score (X, y[, sample_weight])...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
sklearn.naive_bayes.MultinomialNB — scikit-lear...
classification of text documents Out-of-core classification of text documents...classification on an array of test vectors X. predict_joint_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
sklearn.model_selection.TimeSeriesSplit — sciki...
in train/test sets. In each split, test indices must be...n_splits=5, test_size=None) >>> for i , ( train_index , test_index...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
sklearn.model_selection.StratifiedGroupKFold — ...
print ( f " Test: index= { test_index } " ) ... print...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
sklearn.model_selection.ShuffleSplit — scikit-l...
print ( f " Test: index= { test_index } " ) Fold 0: Train:...4] Test: index=[5 2] Fold 1: Train: index=[4 0 2 5] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
sklearn.model_selection.ValidationCurveDisplay ...
test_scores = test_scores , score_name =...param_range , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
plot_multi_metric_evaluation.ipynb
1)[0][0]\n best_score = results[\"mean_test_%s\" % scorer][best_index]\n\n...etc...)\n\nThe ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation.... -
sklearn.model_selection.StratifiedShuffleSplit ...
Provides train/test indices to split data in train/test sets. This..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
sklearn.model_selection.GroupShuffleSplit — sci...
f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
Putting it all together — scikit-learn 1.4.2 do...
X_test , y_train , y_test = train_test_split ( X , y , test_size...set and a test and keep 25% of the data for testing. X_train ,...scikit-learn.org/stable/tutorial/statistical_inference/putting_together.html -
sklearn.model_selection.RepeatedStratifiedKFold...
print ( f " Test: index= { test_index } " ) ... Fold...index=[1 2] Test: index=[0 3] Fold 1: Train: index=[0 3] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
plot_multi_metric_evaluation.py
1)[0][0] best_score = results["mean_test_%s" % scorer][best_index]...etc...) The ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
sklearn.metrics.class_likelihood_ratios — sciki...
obtain post-test probabilities given a pre-test probability....classifier being a diagnostic test; the pre-test probability of an individual...scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html -
sklearn.naive_bayes.ComplementNB — 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.ComplementNB.html -
getting_started.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...scikit-learn.org/stable/_sources/getting_started.rst.txt -
auto_examples_python.zip
tick test_stats["n_test"] += len(y_test) test_stats["n_test_pos"]...X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.25,...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
sklearn.model_selection.GroupKFold — scikit-lea...
f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html