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main.py
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main.py
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# coding: utf-8
# In[3]:
from __future__ import division
import scipy as sp
import numpy as np
from scipy import io
import itertools
import math
import time
# In[4]:
data = io.mmread("data/netflix_mm_10000_1000")
data.shape
# In[18]:
def RMSE(data, latent):
userOffset = 0
movieOffset = data.shape[0]
cx = data.tocoo()
err = 0
for user,movie,rating in itertools.izip(cx.row, cx.col, cx.data):
vUser = latent[user + userOffset]
vMovie = latent[movie + movieOffset]
err += (vUser.dot(vMovie) - rating) ** 2
#print "%f %f" % (vUser.dot(vMovie), rating)
return math.sqrt(err / data.nnz)
#return err
# In[ ]:
def SGD(data, eta = 0.01, lambduh = 0.1, maxit = 10):
rank = 10
userOffset = 0
movieOffset = data.shape[0]
latent = np.random.rand(sum(data.shape), rank)
it = 0
innerIt = 0
cx = data.tocoo()
print "Initial RMSE %f" % (RMSE(data, latent))
while it < maxit:
start = time.time()
for user,movie,rating in itertools.izip(cx.row, cx.col, cx.data):
vMovie = latent[movie + movieOffset]
vUser = latent[user + userOffset]
vUserTmp = vUser.copy()
e = vUser.dot(vMovie) - rating
c1 = (1 - eta * lambduh)
vUser[:] = c1 * vUser - eta * e * vMovie
vMovie[:] = c1 * vMovie - eta * e * vUserTmp
# update error
innerIt += 1
#if innerIt % 100000 == 0:
it += 1
print "time %f" % (time.time() - start)
print "%d - %f" % (innerIt, RMSE(data, latent))
SGD(data)
# In[ ]: