def ValidateMachine(Tiv):
money = 0
#create the machine
machine = learnChance(Tiv)
#create the data base
DB = db()
trainingData = DB.trainingData
Stat=[]
#iterate over the result array to test the machine
for index in range(0,len(DB.resultArray)):
tmp = len(trainingData)
result = []
for i in range(0,Tiv.RUN_WINDOW_SIZE-1):
result.append(trainingData[(tmp - Tiv.RUN_WINDOW_SIZE-1 + i)])
result.append( DB.resultArray[index])
result = DB.UnifyLists(result,32)
List = Control.RUNhelp(result,trainingData,Tiv,machine)
Stat=statistics().calcStat(List,DB.resultArray[index])
print "stat",Stat
raffMoney = Stat[0]
Tiv.Tiv_Db.append([Stat[1],Stat[2],Stat[3],Stat[4]])
money+=raffMoney
trainingData.append(DB.resultArray[index])
#this is the prediction alone part
for index in range(0,len(DB.vlidationData)):
tmp = len(trainingData)
print "len new training data", len(trainingData)
result = []
for i in range(0,Tiv.RUN_WINDOW_SIZE-1):
result.append(trainingData[(tmp - Tiv.RUN_WINDOW_SIZE-1 + i)])
result.append( DB.vlidationData[index])
result = DB.UnifyLists(result,32)
List = ValidRUNhelp(result,trainingData,Tiv,machine)
Stat=statistics().calcStat(List,DB.vlidationData[index])
print "stat",Stat
raffMoney = Stat[0]
Tiv.Tiv_Db.append([Stat[1],Stat[2],Stat[3],Stat[4]])
money+=raffMoney
trainingData.append(DB.vlidationData[index])
print "VALIDATION MACHINE MADE TOTAL MONEY: ", money
print "TOTAL RESULTS: ",len(Tiv.Tiv_Db),Tiv.Tiv_Db
Tiv.Tiv_Db.append("END OF MACHINE")
return money
def RUN(TIV,Mutate):
'''this is the most important function it controls the program and here we will use our tuning'''
money = 0
#create the machine
machine = learnChance(TIV)
#create the data base
DB = db()
trainingData = DB.trainingData
Stat=[]
#iterate over the result array to test the machine
for index in range(0,len(DB.resultArray)):
tmp = len(trainingData)
IOdata = []
for i in range(0,TIV.RUN_WINDOW_SIZE-1):
#next part is creating the window data according to which the machine will calculate the result,
#it is taking the lines in training list in the correct place
#********need to check the right order of the data read**********
IOdata.append(trainingData[(tmp - TIV.RUN_WINDOW_SIZE-1 + i)])#input of the net
#add the result current line to the training data
IOdata.append( DB.resultArray[index])#output of the net
IOarray = DB.UnifyLists(IOdata,32)
List = RUNhelp(IOarray,trainingData,TIV,machine)
Stat=statistics().calcStat(List,DB.resultArray[index])
print "stat",Stat
raffMoney = Stat[0]
TIV.Tiv_Db.append([Stat[1],Stat[2],Stat[3],Stat[4]])
money+=raffMoney
trainingData.append(DB.resultArray[index])
#print "len(trainingData)", len(trainingData)
#this is the mutation
rand = random.randrange(0,20,1)
if((rand <= 1)and(Mutate == True)):
TIV.ManipulateMachine(raffMoney,index)
print "MONEY MADE IN THIS RUN: ", money
print "TOTAL PREDICTION SUCCESS DATA OF RUNS: ",TIV.Tiv_Db
TIV.Tiv_Db.append("END OF A RUN")
return money,TIV