Tuner receive result from trial.

        Parameters
        ----------
        parameter_id : int
        parameters : dict
        value : dict/float
            if value is dict, it should have "default" key.

def receive_trial_result(self, parameter_id, parameters, value):
        """Tuner receive result from trial.

        Parameters
        ----------
        parameter_id : int
        parameters : dict
        value : dict/float
            if value is dict, it should have "default" key.
        """
        value = extract_scalar_reward(value)
        if self.optimize_mode == OptimizeMode.Maximize:
            value = -value

        logger.info("Received trial result.")
        logger.info("value is :" + str(value))
        logger.info("parameter is : " + str(parameters))

        # parse parameter to sample_x
        sample_x = [0 for i in range(len(self.key_order))]
        for key in parameters:
            idx = self.key_order.index(key)
            sample_x[idx] = parameters[key]

        # parse value to sample_y
        temp_y = []
        if sample_x in self.samples_x:
            idx = self.samples_x.index(sample_x)
            temp_y = self.samples_y[idx]
            temp_y.append(value)
            self.samples_y[idx] = temp_y

            # calculate y aggregation
            median = get_median(temp_y)
            self.samples_y_aggregation[idx] = [median]
        else:
            self.samples_x.append(sample_x)
            self.samples_y.append([value])

            # calculate y aggregation
            self.samples_y_aggregation.append([value])