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7.1.7. mclearn.classifier.grid_search_svm_sigmoid

mclearn.classifier.grid_search_svm_sigmoid(X, y, train_size=300, test_size=300, fig_path=None, pickle_path=None)[source]

Do a grid search on SVM wih a sigmoid kernel.

Parameters:
  • X (array) – The feature matrix of the data.
  • y (array) – The target column.
  • train_size (int) – The size of the training set in each iteration.
  • test_size (int) – The size of the test set in each iteration.
  • fig_path (str) – The path where the heat map plot can be saved.
  • pickle_path (str) – The path where the pickled scores can be saved.