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RFECV — scikit-learn 1.6.1 documentation
test) splits as arrays of indices....the following keys: split(k)_test_score ndarray of shape (n_s...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
Semi-supervised Classification on a Text Datase...
X_test , y_train , y_test = train_test_split ( X ,..., X_train , y_train , X_test , y_test ): print ( "Number of training...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html -
Robust linear estimator fitting — scikit-learn ...
sin ( X_test ) X_test = X_test [:, np . newaxis ] y_errors...newaxis ] X_test = np . random . normal ( size = 200 ) y_test = np ....scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
MultinomialNB — scikit-learn 1.6.1 documentation
classification on an array of test vectors X. Parameters : X array-like...probability estimates for the test vector X. For each row x of...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
GMM covariances — scikit-learn 1.6.1 documentation
train_index ] X_test = iris . data [ test_index ] y_test = iris . target...transAxes ) y_test_pred = estimator . predict ( X_test ) test_accuracy...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
Target Encoder’s Internal Cross fitting — sciki...
X_test , y_train , y_test = train_test_split ( X ,...score on test set: " , raw_model . score ( X_test , y_test )) Raw...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html -
Classifier comparison — scikit-learn 1.6.1 docu...
y_test = train_test_split ( X , y , test_size = 0.4 , random_state...the testing points ax . scatter ( X_test [:, 0 ], X_test [:,...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
Israel-Hamas live updates: Released hostages cr...
patient who was waiting for tests. She shuffled cards and laid...www.nbcnews.com/news/world/live-blog/israel-hamas-live-updates-rcna188301 -
Gaussian processes on discrete data structures ...
) X_test = [ "AAA" , "ATAG" , "CTC" , "CT" , "C" ] Y_test = [...len ( X_test )), [ 1.0 if c else - 1.0 for c in Y_test ], s =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
NearestCentroid — scikit-learn 1.6.1 documentation
with test samples classified to the class...n_features) Array of samples (test vectors). Returns : y_scores...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html