98c3d1f65f075ff960b219afe017cd4cf55bfba7,skopt/gbrt_opt.py,,gbrt_minimize,#,61

Before Change

    // Initialize with a random point
    Xi[0] = _random_point(lower_bounds, upper_bounds, random_state=rng)
    best_x = Xi[0].ravel()
    yi[0] = best_y = func(Xi[0])

    models = []

    // XXX should there be an early stopping criterion?

After Change

    Xi[:n_start] = _random_point(
        lower_bounds, upper_bounds, n_points=n_start, random_state=rng)
    best_x = Xi[:n_start].ravel()
    yi[:n_start] = [func(xi) for xi in (Xi[:n_start])]
    best_y = np.min(yi[:n_start])

    models = []

Instances