[mlpack-svn] r16050 - mlpack/trunk/src/mlpack/methods/logistic_regression

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

Author: rcurtin
Date: Wed Nov 20 11:42:09 2013
New Revision: 16050

Log:
Make predictors and responses const.


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 20 11:42:09 2013
@@ -10,8 +10,8 @@
 using namespace mlpack::regression;
 
 LogisticRegressionFunction::LogisticRegressionFunction(
-    arma::mat& predictors,
-    arma::vec& responses,
+    const arma::mat& predictors,
+    const arma::vec& responses,
     const double lambda) :
     predictors(predictors),
     responses(responses),
@@ -21,8 +21,8 @@
 }
 
 LogisticRegressionFunction::LogisticRegressionFunction(
-    arma::mat& predictors,
-    arma::vec& responses,
+    const arma::mat& predictors,
+    const arma::vec& responses,
     const arma::mat& initialPoint,
     const double lambda) :
     initialPoint(initialPoint),

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 20 11:42:09 2013
@@ -22,12 +22,12 @@
 class LogisticRegressionFunction
 {
  public:
-  LogisticRegressionFunction(arma::mat& predictors,
-                             arma::vec& responses,
+  LogisticRegressionFunction(const arma::mat& predictors,
+                             const arma::vec& responses,
                              const double lambda = 0);
 
-  LogisticRegressionFunction(arma::mat& predictors,
-                             arma::vec& responses,
+  LogisticRegressionFunction(const arma::mat& predictors,
+                             const arma::vec& responses,
                              const arma::mat& initialPoint,
                              const double lambda = 0);
 
@@ -103,9 +103,9 @@
   //! The initial point, from which to start the optimization.
   arma::mat initialPoint;
   //! The matrix of data points (predictors).
-  arma::mat& predictors;
+  const arma::mat& predictors;
   //! The vector of responses to the input data points.
-  arma::vec& responses;
+  const arma::vec& responses;
   //! The regularization parameter for L2-regularization.
   double lambda;
 };