def _getTrainerForParams(self, params):
        trainer = copy.deepcopy(self._trainer)
        trainer.setArgs(cost=2 ** params[0], gamma=2 ** params[1], ver=0)
        return trainer
Returns a trainer, loaded with the supplied metaparameters.
dataset/ETHPy150Open pybrain/pybrain/pybrain/tools/gridsearch.py/GridSearchCostGamma._getTrainerForParams