583fbccfb801eeb02e4385d8ad8df62046678450,studio/optimizer_plugins/cmaes.py,Optimizer,__unpack_solution,#Optimizer#Any#,61

Before Change

    def __unpack_solution(self, solution):
        solution_dict = {}
        for i in xrange(len(solution)):
            name = self.itoname[i]
            solution_dict[name] = solution[i]
            solution_dict[name] = min(1.0, max(0.0, solution_dict[name]))

After Change

                h.values = solutution[h.index: h.index + h.array_length]
            if not h.unbounded:
                h.values = np.clip(h.values, h.min_value, h.max_value)
            h.values = self.__unscale_var(h.values, h.min_value, h.max_value)
            if h.is_log:
                h.values = np.exp(h.values)
            if h.array_length is None:
                h.values = float(h.values)

        return self.hyperparameters

    def __pack_solution(self, hyperparam_dict):

Instances