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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 -
sklearn.gaussian_process.GaussianProcessRegress...
n_features) Test samples. For some estimators...theta .... # Returned are the best found hyperparameters theta...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
Ask MetaFilter
I got my vision test from a provider who was explicitly...style="display:none"></div> <script type="text/javascript"> !function() { var...ask.metafilter.com -
Sample pipeline for text feature extraction and...
) data_test = fetch_20newsgroups ( subset = "test" , categories...vect__norm: l1 test_accuracy = random_search . score ( data_test . data...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html -
Ad Maiorem Gloriam Concreti | MetaFilter
They have withstood the test of time.I need gargoyles people!...style="display:none"></div> <script type="text/javascript"> !function() { var...www.metafilter.com/203499/Ad-Maiorem-Gloriam-Concreti -
Faces recognition example using eigenfaces and ...
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/auto_examples/applications/plot_face_recognition.html -
Kernel PCA — scikit-learn 1.4.2 documentation
X_test , y_train , y_test = train_test_split ( X ,..."Training data" ) test_ax . scatter ( X_test [:, 0 ], X_test [:, 1 ],...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html -
The Star Wars (Story Synopsis) – Starkiller
be painfully dull and bored test audiences. It wasn’t until an...planet of Ophuchi. At a desolate rest stop, the rebels are stopped...www.starwarz.com/starkiller/the-star-wars-story-synopsis/ -
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 -
Working With Text Data — scikit-learn 1.4.2 doc...
>>> docs_test = twenty_test . data >>> predicted = text_clf . predict...object’s best_score_ and best_params_ attributes store the best mean...scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.html