556bfe20bd5f08b1f841296aca064f126080cfd2,nilmtk/metrics.py,,mean_normalized_error_power,#Any#Any#,118

Before Change

        sum_of_ground_truth_power = 0.0
        for aligned_meters_chunk in align_two_meters(pred_meter, 
                                                     ground_truth_meter):
            diff = aligned_meters_chunk.icol(0) - aligned_meters_chunk.icol(1)
            total_abs_diff += sum(abs(diff.dropna()))
            sum_of_ground_truth_power += aligned_meters_chunk.icol(1).sum()

        mne[pred_meter.instance()] = total_abs_diff / sum_of_ground_truth_power

    return pd.Series(mne)

After Change

        sum_of_ground_truth_power = 0.0
        for aligned_meters_chunk in align_two_meters(pred_meter, 
                                                     ground_truth_meter):
            diff = aligned_meters_chunk.iloc[:, 0] - aligned_meters_chunk.iloc[:, 1]
            total_abs_diff += sum(abs(diff.dropna()))
            sum_of_ground_truth_power += aligned_meters_chunk.iloc[:, 1].sum()

        mne[pred_meter.instance()] = total_abs_diff / sum_of_ground_truth_power

    return pd.Series(mne)

Instances