def GetTrainingData(self, inputDim, dataPercent):
if len(self.allDataList) == 0:
m = Model()
pares = m.GetAllPar()
totalData = m.GetTotalData()
partTotalDAta = totalData - int(totalData * (1 - dataPercent))
allData = []
for p in pares:
allData = allData + m.GetDataLimited(inputDim, p[0],
partTotalDAta)
print(p[0] + " " + str(len(allData)))
self.allDataList = allData
random.shuffle(self.allDataList)
traingData = self.allDataList[0:int(len(self.allDataList) * 0.7)]
validationData = self.allDataList[(int(len(self.allDataList) * 0.7)) +
1:len(self.allDataList)]
return traingData, validationData
