def _save_montecarlo_log(self, iterations, dataset_name, num_classes, polar_mode, dataset_size, features_size, epochs, batch_size):
    fieldnames = ['iterations', 'dataset', '# Classes', 'Dataset Size', 'Feature Size', 'models', 'epochs', 'batch size', 'Polar Mode', 'path', 'cvnn version']
    row_data = [iterations, dataset_name, num_classes, dataset_size, features_size, '-'.join([str(model.name) for model in self.models]), epochs, batch_size, polar_mode, str(self.monte_carlo_analyzer.path), cvnn.__version__]
    _create_excel_file(fieldnames, row_data, './log/monte_carlo_summary.xlsx')
def _save_montecarlo_log(self, iterations, dataset_name, num_classes, polar_mode, dataset_size, features_size, epochs, batch_size):
    fieldnames = ['iterations', 'dataset', '# Classes', 'Dataset Size', 'Feature Size', 'models', 'epochs', 'batch size', 'Polar Mode', 'path', 'cvnn version']
    row_data = [iterations, dataset_name, num_classes, dataset_size, features_size, '-'.join([str(model.name) for model in self.models]), epochs, batch_size, polar_mode, str(self.monte_carlo_analyzer.path), cvnn.__version__]
    _create_excel_file(fieldnames, row_data, './log/monte_carlo_summary.xlsx')