HiddenLayer.py 文件源码

def errors(self, y):
        """ Return a float representing the number of errors in the data; zero-one loss """

        #check if y has same dimension of y_pred
        if y.ndim != self.y_pred.ndim:
            raise TypeError(
                'y should have the same shape as self.y_pred',
                ('y', y.type, 'y_pred', self.y_pred.type)
            )
        #check if y is of the correct datatype
        if y.dtype.startswith('int'):
            # the T.neq operator returns a vector of 0s and 1s, where 1
            # represents a mistake in prediction
            return T.sum(T.neq(self.y_pred, y))
        else:
            raise NotImplementedError()