583fbccfb801eeb02e4385d8ad8df62046678450,studio/optimizer_plugins/cmaes.py,Optimizer,__pack_solution,#Optimizer#Any#,73

Before Change

            i = self.nametoi[name]
            solution[i] = hyperparam_dict[name]
            if self.log_scale_dict[name]:
                solution[i] = math.log(solution[i] + EPSILON)
            solution[i] = self.__scale_var(solution[i],
                self.bounds[i][0], self.bounds[i][1])

        return solution

After Change

    def __pack_solution(self, hyperparam_dict):
        solution = np.empty(self.dim)
        for h in self.hyperparameters:
            values = copy.copy(h.values)
            if h.is_log:
                values = np.log(values)
            values = self.__scale_var(values, h.min_value, h.max_value)
            if not h.unbounded:
                values = np.clip(values, h.min_value, h.max_value)
            if h.array_length is None:
                solution[h.index] = values
            else:
                solution[h.index: h.index + h.array_length] = values

Instances