[mlpack-svn] r16029 - mlpack/trunk/src/mlpack/methods/logistic_regression

[fastlab-svn at coffeetalk-1.cc.gatech.edu]

Author: rcurtin
Date: Wed Nov 13 13:28:07 2013
New Revision: 16029

Log:
Remove getSigmoid() and add class documentation.


Modified:
   mlpack/trunk/src/mlpack/methods/logistic_regression/logistic_regression_function.cpp
   mlpack/trunk/src/mlpack/methods/logistic_regression/logistic_regression_function.hpp

Modified: mlpack/trunk/src/mlpack/methods/logistic_regression/logistic_regression_function.cpp
==============================================================================
--- mlpack/trunk/src/mlpack/methods/logistic_regression/logistic_regression_function.cpp	(original)
+++ mlpack/trunk/src/mlpack/methods/logistic_regression/logistic_regression_function.cpp	Wed Nov 13 13:28:07 2013
@@ -36,16 +36,6 @@
     this->initialPoint = arma::zeros<arma::mat>(predictors.n_rows + 1, 1);
 }
 
-/*
-arma::vec LogisticRegressionFunction::getSigmoid(const arma::vec& values,
-                                       arma::vec& output) const
-{
-  arma::vec out = arma::ones<arma::vec>(values.n_rows,1) /
-      (arma::ones<arma::vec>(values.n_rows,1) + arma::exp(-values));
-  return out;
-}
-*/
-
 /**
  * Evaluate the logistic regression objective function given the estimated
  * parameters.

Modified: mlpack/trunk/src/mlpack/methods/logistic_regression/logistic_regression_function.hpp
==============================================================================
--- mlpack/trunk/src/mlpack/methods/logistic_regression/logistic_regression_function.hpp	(original)
+++ mlpack/trunk/src/mlpack/methods/logistic_regression/logistic_regression_function.hpp	Wed Nov 13 13:28:07 2013
@@ -14,6 +14,11 @@
 namespace mlpack {
 namespace regression {
 
+/**
+ * The log-likelihood function for the logistic regression objective function.
+ * This is used by various mlpack optimizers to train a logistic regression
+ * model.
+ */
 class LogisticRegressionFunction
 {
  public:
@@ -26,8 +31,6 @@
                              const arma::mat& initialPoint,
                              const double lambda = 0);
 
-  arma::vec getSigmoid(const arma::vec& values) const;
-
   //! Return the initial point for the optimization.
   const arma::mat& InitialPoint() const { return initialPoint; }
   //! Modify the initial point for the optimization.