50213024393ab41c88287702c78cf361d3b82e49,aif360/sklearn/datasets/utils.py,,standarize_dataset,#,5

Before Change

    // Index-wise drops
    if dropna:
        df.dropna()

    df = df.set_index(prot_attr, drop=False, append=True)
    y = df.pop(target)

After Change

    // Index-wise drops
    if dropna:
        notna = df.notna().all(axis=1) & y.notna()
        df = df.loc[notna]
        y = y.loc[notna]

    if sample_weight is not None:
        return namedtuple("WeightedDataset", ["X", "y", "sample_weight"])(

Instances