def _train_validdata(self):
validf = self.buildvalidfun(self.model)
trainf = self.buildtrainfun(self.model)
df = DataFeeder(*(self.traindata + [self.traingold]))
vdf = DataFeeder(*(self.validdata + [self.validgold]))
#dfvalid = df.osplit(split=self.validsplits, random=self.validrandom)
err, verr = self.trainloop(
trainf=self.getbatchloop(trainf, df.numbats(self.numbats)),
validf=self.getbatchloop(validf, vdf))
return err, verr, None, None
def _train_validdata(self):
validf = self.buildvalidfun(self.model)
trainf = self.buildtrainfun(self.model)
df = DataFeeder(*(self.traindata + [self.traingold]))
vdf = DataFeeder(*(self.validdata + [self.validgold]))
#embed()
#dfvalid = df.osplit(split=self.validsplits, random=self.validrandom)
err, verr = self.trainloop(trainf=self.getbatchloop(
trainf, df.numbats(self.numbats)),
validf=self.getbatchloop(validf, vdf))
return err, verr, None, None
