holisticai.bias.metrics.multiclass_bias_metrics#
- holisticai.bias.metrics.multiclass_bias_metrics(p_attr, y_pred, y_true, groups=None, classes=None, metric_type='equal_outcome')[source]#
Multiclass bias metrics batch computation
This function computes all the relevant multiclass bias metrics, and displays them as a pandas dataframe.
Parameters
- p_attrarray-like
Multiclass protected attribute vector
- y_predarray-like
Regression predictions vector
- y_truenumpy array
Regression target vector
- groupslist, optional
Unique groups from p_attr in order
- classeslist, optional
The unique output classes in order
- metric_typestr, optional
Specifies which metrics we compute: ‘both’, ‘equal_outcome’ or ‘equal_opportunity’
Returns
- pandas DataFrame
Metrics | Values | Reference