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## README ##
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 - Make sure python-dev package is installed
 - Download numPy module from http://www.scipy.org/Download and after extracted the tarball
    run: sudo python setup.py install
 - Documentation at http://www.scipy.org/Documentation
 - mkdir -p data/logs_flashvideo



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# Example of how to use SVD methods ######
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Create a file with the following content:

from similarity import *

users = { 1 : "Ben", 2 : "Tom", 3 : "John", 4 : "Fred" }
a = array([[5,5,0,5],
           [5,0,3,4],
           [3,4,0,3],
           [0,0,5,3],
           [5,4,4,5],
           [5,4,5,5]])


u,sigma,q = svd_components(a)

print 'u:\n%s\n' % u
print 'eigen value:\n%s\n' % sigma
print 'q transposta:\n%s\n' % q
print '*' * 50

u2, q2, eigenvalues_inverse = svd_reduce(u, sigma, q)

print 'u2:\n%s\n' % u2
print 'eigenvalue_inverse:\n%s\n' % eigenvalues_inverse
print 'q2:\n%s\n' % q2

gus = array([5,5,0,0,0,5])
print '\nhere comes gus:\n%s\n' % gus

gus2D = data_2D(gus, u2, eigenvalues_inverse)
print '\ngus2D:\n%s\n' % gus2D

user_sim = sim_cos(q2, gus2D)
print user_sim

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