src/smclarify/bias/metrics/common.py [247:265]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    feature: pd.Series,
    sensitive_facet_index: pd.Series,
    positive_label_index: pd.Series,
    positive_predicted_label_index: pd.Series,
) -> Tuple[float, float]:
    """
    Difference in Conditional Outcomes (DCO)

    :param feature: input feature
    :param sensitive_facet_index: boolean column indicating sensitive group
    :param positive_label_index: boolean column indicating positive labels
    :param positive_predicted_label_index: boolean column indicating positive predicted labels
    :return: Difference in Conditional Outcomes (Acceptance and Rejection) between advantaged and disadvantaged classes
    """
    require(sensitive_facet_index.dtype == bool, "sensitive_facet_index must be of type bool")
    require(positive_label_index.dtype == bool, "positive_label_index must be of type bool")
    require(positive_predicted_label_index.dtype == bool, "positive_predicted_label_index must be of type bool")

    if len(feature[sensitive_facet_index]) == 0:
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src/smclarify/bias/metrics/common.py [299:319]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    feature: pd.Series,
    sensitive_facet_index: pd.Series,
    positive_label_index: pd.Series,
    positive_predicted_label_index: pd.Series,
) -> Tuple[float, float]:
    """
    Difference in Label Rates (DLR)

    For cases where both the nominator and the denominator are 0 we use 0 as result.

    :param feature: input feature
    :param sensitive_facet_index: boolean column indicating sensitive group
    :param positive_label_index: boolean column indicating positive labels
    :param positive_predicted_label_index: boolean column indicating positive predicted labels
    :return: Difference in Label Rates (aka Difference in Acceptance Rates AND Difference in Rejected Rates)
    """
    require(sensitive_facet_index.dtype == bool, "sensitive_facet_index must be of type bool")
    require(positive_label_index.dtype == bool, "positive_label_index must be of type bool")
    require(positive_predicted_label_index.dtype == bool, "positive_predicted_label_index must be of type bool")

    if len(feature[sensitive_facet_index]) == 0:
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