938e9716faa50db5695d937cae0b30d2cdbfd07c,conceptnet5/vectors/transforms.py,,l1_normalize_columns,#,57

Before Change

    each column"s entries add up to 1. This is particularly helpful when
    post-processing GloVe output.
    
    col_norms = np.sum(np.abs(frame), axis="rows")
    return frame.div(col_norms, axis="columns")


def l2_normalize_rows(frame, offset=0.):
    

After Change

    each column"s entries add up to 1. This is particularly helpful when
    post-processing GloVe output.
    
    index = frame.index
    return pd.DataFrame(data=normalize(frame, norm="l1", copy=False, axis=0), index=index)


def l2_normalize_rows(frame):
    

Instances