[mlpack-svn] [MLPACK] #305: Logistic Regression

[MLPACK Trac]

#305: Logistic Regression
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  Reporter:  sumedhghaisas        |        Owner:  rcurtin     
      Type:  enhancement          |       Status:  closed      
  Priority:  major                |    Milestone:  mlpack 1.0.8
 Component:  mlpack               |   Resolution:  fixed       
  Keywords:  logistic_regression  |     Blocking:              
Blocked By:                       |  
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Comment (by sumedhghaisas):

 So is the non-vectorized implementation is faster in this case?? Is this
 specific to this case or is generally true for the case of Armadillo
 library???

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Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/305#comment:8>
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MLPACK is an intuitive, fast, and scalable C++ machine learning library developed at Georgia Tech.