Need help with Python + Neural Net Coding - Printable Version +- Python Forum (https://python-forum.io) +-- Forum: Python Coding (https://python-forum.io/Forum-Python-Coding) +--- Forum: Data Science (https://python-forum.io/Forum-Data-Science) +--- Thread: Need help with Python + Neural Net Coding (/Thread-Need-help-with-Python-Neural-Net-Coding) Need help with Python + Neural Net Coding - ThanosTitan - Jan-22-2018 A very good day to you Sir, I hope you are doing Great Sir, I downloaded Run.py and Create.py from the internet. I would like to use the Run.Py to read data from the_results.txt data file. The Range of Data should be from 1 to 58 and not 1 to 68 May I please kindly ask how can I set the Run.py to only read from the range of data 1 to 58 ? And not 1 to 69 as per the original code ? Thank you very much for your time and kind help. You'll need to install Anaconda Python 2.7, neurolab library, numpy library and termcolor library Create.py ```import neurolab as nl net = nl.net.newff([[0,1]] * 69, [69,69]) net.save("one.net")```Run.py ```from colorama import init init() import neurolab as nl import numpy as np from termcolor import colored #read inputs and targets f = open("the_results.txt",'r') input = [] line_count = 0 for line in f.readlines(): line = line.split(',') line_count += 1 if line_count > 1: #skip line 1 lineinput = [0] * 69 #for i in range(1,6): #lineinput[int(line[i])-1] = 1 input.append(lineinput) input.reverse() #powerball shows results in reverse order from newest to oldest so we will reverse this list #set target outputs for training to be from row 1 to end of list, skipping first row 0 target = input[1:len(input)] #set siminput to be last row of input to use for simulation to predict output siminput = [input[len(input)-1]] #set input, make input one row less since the last row wouldn't have target output input = input[0:len(input)-1] #make it numpy target = np.array(target) input = np.array(input) siminput = np.array(siminput) def output(o): array = o[0] order = array.argsort() #ranks = order.argsort() for i in range(57,-1,-1): index = order[i] + 1 print colored(str(index),"green") + colored("(" + str(int(array[index-1] * 1000)/1000.0) + ")","red"), if i % 5 == 0: print print net = nl.load("one.net") print colored("Powerball","blue") + colored(" number","green") + colored("(probability)","red") out = net.sim(siminput) output(out) while True: net = nl.load("one.net") print "Training..." error = net.train(input,target,epochs=3,show=1) # with line below we can specify training to stop when error[0] is smaller than goal it stops # but since we're inside a forever loop, there's no need to specify goal. # error = net.train(input,target,epochs=10,show=1,goal=0.01) # just a fail safe, just an extra save so that if we Ctrl-C while we're saving we'll have at least copy of latest network that works net.save("one.net.bk") net.save("one.net") print colored("Powerball","blue") + colored(" number","green") + colored("(probability)","red") out = net.sim(siminput) #output for display purposes only output(out)``` The_Results.txt 04,07,09,34,35,53 10,15,23,28,50,53 20,21,23,29,49,56 12,29,31,34,35,39 07,10,14,15,16,26 21,25,27,33,37,46 08,11,13,19,21,24 06,14,16,33,46,58 03,08,21,22,27,57 04,19,21,30,32,46 10,12,41,42,45,51 07,09,27,30,34,54 07,08,24,38,39,54 02,07,26,28,29,30 15,21,44,47,51,55 11,20,38,52,53,55 21,30,41,43,52,58 05,11,15,27,53,58 06,42,44,46,53,57 03,11,37,44,45,47 09,34,36,52,53,55 10,19,29,34,35,54