[mlpack-svn] [MLPACK] #254: NCA does not find good solutions

[MLPACK Trac]

#254: NCA does not find good solutions
---------------------------------------------------------+------------------
  Reporter:  rcurtin                                     |        Owner:  rcurtin     
      Type:  defect                                      |       Status:  closed      
  Priority:  major                                       |    Milestone:  mlpack 1.0.4
 Component:  mlpack                                      |   Resolution:  fixed       
  Keywords:  nca, cgd, solution, convergence, nonconvex  |     Blocking:              
Blocked By:                                              |  
---------------------------------------------------------+------------------
Changes (by rcurtin):

  * status:  accepted => closed
  * resolution:  => fixed


Comment:

 Much better numbers:

 {{{
 cardiotoc       train mean      train variance        runtime (mean)
 test mean      test variance

 baseline        40.423%         0.015178%             -----
 35.031%          0.065745%
 lmnn            71.969%         0.085596%               15.228s
 66.050%          0.097625%
 nca (mlpack)    73.918%         0.026099%             1483.1s
 66.066%          0.052424%  alpha = 0.000004, iterations = 200k
 nca (matlab)
 rca
 fdsa
 m-h mcmc        66.176%         0.062989%             2892.6s
 55.392%          0.10958%
 m-h mcmc diag   74.637%         0.036214%              826.43s
 66.176%          0.16475%
 m-h diag (10k)  77.863%         0.032059%             3005.9s
 69.843%          0.07890%
 m-h diag (25k)  80.040%         0.018136%             7401.9s
 72.038%          0.05013%
 gibbs mcmc
 }}}

 With that said I'm going to go ahead and close this.  The documentation
 for NCA is a lot better now too.

-- 
Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/254#comment:2>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed by the FASTLAB at Georgia Tech under Dr. Alex Gray.