Vaspol pmf logistic pmf

This PR is based off of #1 There are two implementations of probabilistic matrix factorization here:

1. The normal probabilistic matrix factorization
2. The logistic probabilistic matrix factorization
But I cannot force matlab to compute the RMSE in each iteration, I can only do that if I iterate the maximum number of iteration and computes svd in every iteration, it is slow. Also, I always got RMSE=0.4115 for whatever number of passes. However, in the figure of the paper, it should be a convex shape for SVD. I am wondering if the RMSE is too small with four digits displayed. Any idea?

Jie

> On Dec 10, 2014, at 12:56 PM, Jie Song <jiesong23@gmail.com> wrote:
> 
> I just found out that I can specify the maximum number of iteration for suds, then I will have a series of RMSE for every input matrix and parameter pair.
> 
> Jie
>> On Dec 10, 2014, at 12:09 PM, Vaspol Ruamviboonsuk <notifications@github.com <mailto:notifications@github.com>> wrote:
>> 
>> In logistic_pmf.m <https://github.com/paivaspol/EECS545/pull/2#discussion-diff-21618268>:
>> 
>> > @@ -0,0 +1,127 @@
>> > +function constrained_pmf(dataFileName, mapSparseData)
>> LOL yeah i should nice catch!
>> 
>> —
>> Reply to this email directly or view it on GitHub <https://github.com/paivaspol/EECS545/pull/2/files#r21618268>.
>> 
>