def evaluate_at(self, eval_at, testcases, mode=None):
        """ Sets the evaluation interation indices.

            :param list eval_at: iteration indices where an evaluation should be performed
            :param numpy.array testcases: testcases used for evaluation

        """
        self.eval_at = eval_at
        self.log.eval_at = eval_at

        if mode is None:
            if self.context_mode is None or (self.context_mode.has_key('choose_m') and self.context_mode['choose_m']):
                mode = 'inverse'
            else:
                mode = self.context_mode["mode"]
                

        self.evaluation = Evaluation(self.ag, self.env, testcases, mode=mode)
        for test in testcases:
            self.log.add('testcases', test)
Sets the evaluation interation indices.

            :param list eval_at: iteration indices where an evaluation should be performed
            :param numpy.array testcases: testcases used for evaluation