def _get_means()

in sagemaker/source/dl_utils/dataset.py [0:0]

• 8 lines of code
• 4 McCabe index (conditional complexity)

    def _get_means(self, df_train):
        # Calculate the means and std for each header
        output_means = {}
        for sensor_header in self.sensor_headers:
            mean = np.mean(df_train.iloc[:, df_train.columns.str.contains(sensor_header)].values)
            std = np.std(df_train.iloc[:, df_train.columns.str.contains(sensor_header)].values)
            print("{} mean is {:0.4f}+{:0.4f}".format(sensor_header, mean, std))
            output_means[sensor_header] = (mean, std)
        return output_means