@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)
Do a plot_module_classification_sequence_performance() for all sequences in the dataset.
dataset/ETHPy150Open pybrain/pybrain/pybrain/tools/plotting/classification.py/ClassificationDataSetPlot.plot_module_classification_dataset_performance