79928872e7b2118ae0cbc8f818850473e15fe14f,conceptnet5/vectors/evaluation/bias.py,,correlation_bias,#Any#Any#,71

Before Change

        pd.DataFrame(vecs1 - np.mean(vecs1, axis=0))
    ).values
    bias_vecs2 = l2_normalize_rows(
        pd.DataFrame(vecs2 - np.mean(vecs2, axis=0))
    ).values
    grid = bias_vecs1.dot(bias_vecs2.T)
    for i in range(grid.shape[1]):

After Change

    for i in range(grid.shape[1]):
        col_bias = np.max(grid.iloc[:, i]) - np.mean(grid.iloc[:, i])
        most_biased = np.argmax(grid.iloc[:, i])
        comparison = centered2.index[i]
        // Uncomment this to be sad
        // print("%4.4f %s => %s" % (col_bias, comparison, most_biased))
        bias_numbers.append(col_bias)

Instances