b523b464d8cafe29e352981c1c6df941f205592a,nilmtk/metrics.py,,mean_normalized_error_power,#Any#Any#,109

Before Change

    """

    mne = {}
    numerator = {}
    denominator = {}

    for appliance in predicted_power:
        numerator[appliance] = np.sum(np.abs(predicted_power[appliance] -

After Change

                total_diff += sum(abs(diff))
                sum_of_ground_truth_power += truth_chunk.icol(0).dropna().sum()

        mne[meter.instance()] = total_diff / sum_of_ground_truth_power

    return pd.Series(mne)

Instances