annanay25

p=3
m=1000

def stringHash(txt):
    # print len(txt)
    txtHashList = [0L] * (len(txt) - 100)
    for i in xrange(0, 100):
        # print i
        txtHashList[0] += ord(txt[i])*(p**i)

annanay25

import numpy as np
import pandas as pd
from sklearn import preprocessing

class decisionnode:
    def __init__(self,col=-1,value=None,results=None,tb=None,fb=None):
        self.col=col
        self.value=value
        self.results=results
        self.tb=tb

annanay25

#Backpropagation algorithm written in Python by annanay25.
import string
import math
import random

class Neural:
	def __init__(self, pattern):
		#
		# Lets take 2 input nodes, 3 hidden nodes and 1 output node.
		# Hence, Number of nodes in input(ni)=2, hidden(nh)=3, output(no)=1.