@staticmethod
    def plot_module_classification_dataset_performance(module, dataset, cols=4, bounds=(0, 1)):
        # Outputs and detected category error for each sequence.
        for i in range(dataset.getNumSequences()):
            plt.subplot(ceil(dataset.getNumSequences() / float(cols)), cols, i)
            ClassificationDataSetPlot.plot_module_classification_sequence_performance(module, dataset, i, bounds)
Test a CORS preflight request.
dataset/ETHPy150Open pybrain/pybrain/pybrain/tools/plotting/classification.py/ClassificationDataSetPlot.plot_module_classification_dataset_performance--crossover with--dataset/ETHPy150Open GoogleCloudPlatform/python-compat-runtime/appengine-compat/exported_appengine_sdk/google/appengine/tools/devappserver2/endpoints/endpoints_server_test.py/DevAppserverEndpointsServerTest.test_handle_cors_preflight