def __init__(self, X, y, bounds, num_ini_guess):
self.n = X.shape[1]
self.sigma_inv = np.ones(self.n) # default value
self.model = Kriging(self.sigma_inv, bounds, num_ini_guess) # Fit Kriging on the data.
self.model.fit(X, y)
self.input = X
self.rem_eng = y
self.sct = None
