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7.4. Loading other datasets — scikit-learn 1.4....
X_test , y_test = load_svmlight_files (...number of features: >>> X_test , y_test = load_svmlight_file ( ......scikit-learn.org/stable/datasets/loading_other_datasets.html -
Elastic Generative AI Tools and Capabilities | ...
Test drive serverless Generative...meaning and context — across text, images, videos, audio, geo-location,...www.elastic.co/generative-ai -
sklearn.svm.NuSVR — scikit-learn 1.4.2 document...
expected shape of X is (n_samples_test, n_samples_train). Returns :...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
1.16. Probability calibration — scikit-learn 1....
test_set) couples (as determined...Then its predictions on the test subset are used to fit a calibrator...scikit-learn.org/stable/modules/calibration.html -
sklearn.datasets.load_iris — scikit-learn 1.4.2...
(ROC) Nested versus non-nested cross-validation Nested versus...(ROC) with cross validation Test with permutations the significance...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html -
sklearn.model_selection.cross_val_score — sciki...
IterativeImputer Nested versus non-nested cross-validation Nested versus...splitting the dataset into train/test set. Only used in conjunction...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
1.5. Stochastic Gradient Descent — scikit-learn...
SGDClassifier ()) est . fit ( X_train ) est . predict ( X_test ) If your...( X_train ) X_test = scaler . transform ( X_test ) # apply same...scikit-learn.org/stable/modules/sgd.html -
Implementing search and generative AI for your ...
test, and maintain your new search...www.elastic.co/explore/improving-digital-customer-experiences/implementing-search-for-your-knowle... -
1.4. Support Vector Machines — scikit-learn 1.4...
X_test , y_train , y_test = train_test_split ( X ,...examples >>> gram_test = np . dot ( X_test , X_train . T ) >>>...scikit-learn.org/stable/modules/svm.html -
sklearn.ensemble.ExtraTreesRegressor — scikit-l...
X_test , y_train , y_test = train_test_split ( ......y_train ) >>> reg . score ( X_test , y_test ) 0.2727... Methods apply...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html