d85cce064570ba6ed7567eff457fce82ed862483,mlxtend/preprocessing/onehot.py,,one_hot,#Any#Any#Any#,10

Before Change

        uniq = num_labels
    if uniq == 1:
        return np.array([[0.]], dtype=dtype)
    return (np.arange(uniq) == yt[:, None]).astype(dtype)

After Change

    else:
        ary = np.zeros((len(y), uniq))
        for i, val in enumerate(y):
            ary[i, val] = 1

    return ary.astype(dtype)

Instances