00cce06892217b891c8a85ead8c51b28d556bd64,skopt/tree_opt.py,,_tree_minimize,#,25

Before Change

            print("Function value obtained: %0.4f" % curr_y)
            print("Current minimum: %0.4f" % np.min(yi))

    res = OptimizeResult()
    best = np.argmin(yi)
    res.x = Xi[best]
    res.fun = yi[best]
    res.func_vals = np.array(yi)
    res.x_iters = Xi
    res.models = models
    res.space = space
    res.random_state = rng

    return res


def gbrt_minimize(func, dimensions, base_estimator=None, n_calls=100,
                  n_points=1000, n_random_starts=10, x0=None, y0=None,

After Change

            print("Current minimum: %0.4f" % np.min(yi))
        if callback is not None:
            callback(pack_optimize_result(
                x0 + X_rand[:i + 1], yi, space, rng, specs))

    if np.ndim(yi) != 1:
        raise ValueError("`func` should return a scalar")

Instances