def evaluateMSE(self, f, **args):
        ponderation = 0.
        totalError = 0
        for seq in self._provideSequences():
            e, p = self._evaluateSequence(f, seq, **args)
            totalError += e
            ponderation += p
        assert ponderation > 0
        return totalError/ponderation
Evaluate the predictions of a function on the dataset and return the
dataset/ETHPy150Open pybrain/pybrain/pybrain/datasets/supervised.py/SupervisedDataSet.evaluateMSE