convac.py 文件源码

def train(self, classData, optimFunc, **kwargs):
        x, g = label.indicatorsFromList(classData)
        x = np.require(x, requirements=['O', 'C'])
        self.trainResult = optimFunc(self, x=x, g=g, **kwargs)

        #dv = self.discrim(x, accum='mult')
        #self.normSoftmaxMean = dv.mean()
        #self.normSoftmaxStd = dv.std()
        #self.normSoftmaxMin = dv.min()
        #self.normSoftmaxMax = (dv-self.normSoftmaxMin).max()