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MNIST classification using multinomial logistic...
X_test , y_train , y_test = train_test_split ( X ,...( X_train ) X_test = scaler . transform ( X_test ) # Turn up tolerance...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html -
Putting it all together — scikit-learn 1.5.0 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 -
Developer’s Guide — scikit-learn 1.4.2 document...
on GitHub Actions Testing and improving test coverage Writing...matplotlib related tests Workflow to improve test coverage Monitoring...scikit-learn.org/stable/developers/index.html -
5. Visualizations — scikit-learn 1.5.0 document...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( svc , X_test , y_test ) The returned svc_disp...scikit-learn.org/stable/visualizations.html -
Linear Regression Example — scikit-learn 1.5.0 ...
scatter ( diabetes_X_test , diabetes_y_test , color = "black" )...Split the data into training/testing sets diabetes_X_train = diabetes_X...scikit-learn.org/stable/auto_examples/linear_model/plot_ols.html -
Utilities for Developers — scikit-learn 1.6.dev...
repeatability issues in unit tests. Instead, a numpy.random.RandomState...from graph_shortest_path . Testing Functions # discovery.all_estimators...scikit-learn.org/dev/developers/utilities.html -
1.13. Feature selection — scikit-learn 1.5.0 do...
based on univariate statistical tests. It can be seen as a preprocessing...common univariate statistical tests for each feature: false positive...scikit-learn.org/stable/modules/feature_selection.html -
Comparing various online solvers — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...( X_test ) yy_ . append ( 1 - np . mean ( y_pred == y_test ))...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
Nearest Neighbors Classification — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...split the data into a train and test dataset. from sklearn.datasets...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
SVM Exercise — scikit-learn 1.5.0 documentation
out the test data plt . scatter ( X_test [:, 0 ], X_test [:, 1...n_sample )] X_test = X [ int ( 0.9 * n_sample ) :] y_test = y [ int...scikit-learn.org/stable/auto_examples/exercises/plot_iris_exercise.html