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Receiver Operating Characteristic (ROC) with cr...
X [ test ], y [ test ], name = f "ROC fold..., 6 )) for fold , ( train , test ) in enumerate ( cv . split...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html -
fetch_species_distributions — scikit-learn 1.6....
scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html -
LastaFlute移行 0.8.2 to 0.8.3 | LastaFlute
[App]ActionDefTest にメソッドを二つ追加 test_injectedResourceDefi() と test_lastaPresentsSomethi()...test_lastaPresentsSomethi() の二つ。 test_injectedResourceDefi() @ResourceアノテーションによるDI定義のポリシーチェック...dbflute.seasar.org/ja/lastaflute/howto/upgrade/migration/lamig082to083.html -
OutputCodeClassifier — scikit-learn 1.6.1 docum...
the mean accuracy on the given test data and labels. In multi-label...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
DummyRegressor — scikit-learn 1.6.1 documentation
n_features) Test samples. Passing None as test samples gives...# Perform classification on test vectors X. Parameters : X array-like...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
GradientBoostingRegressor — scikit-learn 1.6.1 ...
X_test , y_train , y_test = train_test_split ( ......>>> reg . score ( X_test , y_test ) 0.4... For a detailed example...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
1.11. Ensembles: Gradient boosting, random fore...
( y_test , est . predict ( X_test )) 5.00... >>> _ = est . set_params...train_test_split >>> X_train , X_test , y_train , y_test = train_test_split...scikit-learn.org/stable/modules/ensemble.html -
KNeighborsRegressor — scikit-learn 1.6.1 docume...
or None Test samples. If None , predictions...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
power_transform — scikit-learn 1.6.1 documentation
splitting into training and test sets. This will bias the model...information would have leaked from the test set to the training set. In...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html -
1.10. Decision Trees — scikit-learn 1.6.1 docum...
validate a model using statistical tests. That makes it possible to account...= 0 ) . fit ( X , y ) >>> X_test = np . array ([ np . nan ])...scikit-learn.org/stable/modules/tree.html