def get_normalization_parameters(traindf, features):
    """Get the normalization parameters (E.g., mean, std) for traindf for
    features. We will use these parameters for training, eval, and serving."""

    def _z_score_params(column):
        mean = traindf[column].mean()
        std = traindf[column].std()
        return {'mean': mean, 'std': std}

    normalization_parameters = {}
    for column in features:
        normalization_parameters[column] = _z_score_params(column)
    return normalization_parameters

NUMERIC_FEATURES = ['housing_median_age', 'total_rooms', 'total_bedrooms',
                    'population', 'households', 'median_income']
normalization_parameters = get_normalization_parameters(traindf, NUMERIC_FEATURES)