7.1.10. mclearn.classifier.grid_search_logistic_degree

mclearn.classifier.grid_search_logistic_degree(X, y, param_grid, degree=2, train_size=300, test_size=300)

Do a grid search on Logistic Regression given the specified polynomial transformation.

Parameters:

• X (array) – The feature matrix of the data.
• y (array) – The target column.
• param_grid (dict) – Dictionary containing the names of the hyperparameters and their associated values which the classifier will be trained with.
• train_size (int) – The size of the training set in each iteration.
• test_size (int) – The size of the test set in each iteration.

Returns:

scores_flat – List of scores of all possible cominbations of the hyperparameters.

Return type:

array