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q2.py
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import csv;
import numpy as np;
import time;
import sys
train = sys.argv[1]
test = sys.argv[2]
start_time = time.time()
def File(filename):
file = open(filename , 'r');
reader = csv.reader(file);
rows=[];
for row in reader:
if '?' not in row:
rows.append(row);
file.close();
# print rows[:2];
rows=np.array(rows, dtype = 'float64');
return rows;
ans = lambda x: 2 if x < 0 else 4
rate = 2.25;
### This is Part-1 ###
# filename = 'q2_breast_cancer.train';
rows=File(train);
for row in rows[:1]:
w = np.zeros(len(row)-1 , dtype = 'float64');
x=np.array(rows);
x=x[:,:-1];
x[:,0]=1;
# for j,row in enumerate(rows):
# y=row[-1];
# if(y==2):
# x[j]=x[j]*-1;
total = len(rows)
b=100;
count = 0;
for i in xrange(100):
count=0;
for j,row in enumerate(rows):
y = row[-1];
val = np.dot(w,x[j]);
temp = np.dot(x[j],x[j]);
error = float(float((float(y) - float(ans(val-b))))/float(2));
# if(val < b):
# flag = ((b-val)/temp)*rate;
# w+= flag*x[j];
if(error!=0):
flag = ((b-val)/temp);
w+= flag*x[j]*rate;
if(error==0):
# else:
count+=1
# print float(count)/float(total);
# print "My program took", time.time() - start_time, "to run"
# filenames = 'test.csv';
rows = File(test)
count=0
total = len(rows);
x=np.array(rows);
# x=x[:,:-1];
x[:,0]=1;
# for j,row in enumerate(rows):
# y=row[-1];
# if(y==2):
# x[j]=x[j]*-1;
b=100;
count = 0;
for j,row in enumerate(rows):
# y = row[-1];
val = np.dot(w,x[j]);
# if(val > 0 and y==4):
# count+=1;
# if(val < 0 and y == 2):
# count+=1;
# error = float(float((float(y) - float(ans(val-b))))/float(2));
# if(error == 0):
# count+=1;
print ans(val-b)
# print count , total;
# print (float(count*100))/float(total);
# print "My program took", time.time() - start_time, "to run"
############This is part-2#
rows=File(train);
for row in rows[:1]:
w = np.zeros(len(row)-1 , dtype = 'float64');
x=np.array(rows);
x=x[:,:-1];
x[:,0]=1;
# for j,row in enumerate(rows):
# y=row[-1];
# if(y==2):
# x[j]=x[j]*-1;
total = len(rows)
b=100;
count = 0;
for i in xrange(100):
count=0;
for j,row in enumerate(rows):
y = row[-1];
val = np.dot(w,x[j]);
temp = np.dot(x[j],x[j]);
error = float(float((float(y) - float(ans(val-b))))/float(2));
# if(val < b):
# flag = ((b-val)/temp)*rate;
# w+= flag*x[j];
if(error!=0):
flag = ((b-val)/temp);
w+= flag*x[j]*rate;
if(error==0):
# else:
count+=1
rate-=0.02
# print float(count)/float(total);
# print "My program took", time.time() - start_time, "to run"
# filenames = 'test.csv';
rows = File(test)
count=0
total = len(rows);
x=np.array(rows);
# x=x[:,:-1];
x[:,0]=1;
# for j,row in enumerate(rows):
# y=row[-1];
# if(y==2):
# x[j]=x[j]*-1;
b=100;
count = 0;
for j,row in enumerate(rows):
# y = row[-1];
val = np.dot(w,x[j]);
# if(val > 0 and y==4):
# count+=1;
# if(val < 0 and y == 2):
# count+=1;
# error = float(float((float(y) - float(ans(val-b))))/float(2));
# if(error == 0):
# count+=1;
print ans(val-b)