[mlpack-git] mlpack-2.0.x: Fixing vector classes to comply with method calls. (fc4195d)

[gitdub at mlpack.org]

Repository : https://github.com/mlpack/mlpack
On branch  : mlpack-2.0.x
Link       : https://github.com/mlpack/mlpack/compare/e434bc4ac042534529a2a440a44d86935b4d7164...fc4195d27bb9e642356a384d1fa6fe10cbdf89a6

>---------------------------------------------------------------

commit fc4195d27bb9e642356a384d1fa6fe10cbdf89a6
Author: Seb Bro <sbrodehl at students.uni-mainz.de>
Date:   Wed Jul 20 15:06:23 2016 +0200

    Fixing vector classes to comply with method calls.
    
    Changed vector classes of 'assignments' to comply with the corresponding method calls.
    Fixes compile errors for those samples.


>---------------------------------------------------------------

fc4195d27bb9e642356a384d1fa6fe10cbdf89a6
 doc/tutorials/kmeans/kmeans.txt | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/doc/tutorials/kmeans/kmeans.txt b/doc/tutorials/kmeans/kmeans.txt
index c9f7e80..8d5efc5 100644
--- a/doc/tutorials/kmeans/kmeans.txt
+++ b/doc/tutorials/kmeans/kmeans.txt
@@ -245,7 +245,7 @@ extern arma::mat data;
 extern size_t clusters;
 
 // The assignments will be stored in this vector.
-arma::Col<size_t> assignments;
+arma::Row<size_t> assignments;
 
 // Initialize with the default arguments.
 KMeans<> k;
@@ -271,7 +271,7 @@ extern arma::mat data;
 extern size_t clusters;
 
 // The assignments will be stored in this vector.
-arma::Col<size_t> assignments;
+arma::Row<size_t> assignments;
 // The centroids will be stored in this matrix.
 arma::mat centroids;
 
@@ -320,7 +320,7 @@ extern arma::mat dataset;
 extern size_t clusters;
 
 // A vector pre-filled with initial assignment guesses.
-extern arma::Col<size_t> assignments;
+extern arma::Row<size_t> assignments;
 
 KMeans<> k;
 
@@ -340,7 +340,7 @@ extern arma::mat dataset;
 extern size_t clusters;
 
 // A vector pre-filled with initial assignment guesses.
-extern arma::Col<size_t> assignments;
+extern arma::Row<size_t> assignments;
 
 // This will hold the centroids of the finished clusters.
 arma::mat centroids;
@@ -394,7 +394,7 @@ extern size_t clusters;
 extern arma::mat centroids;
 
 // This will be filled with the final cluster assignments for each point.
-arma::Col<size_t> assignments;
+arma::Row<size_t> assignments;
 
 KMeans<> k;
 
@@ -433,7 +433,7 @@ extern arma::sp_mat sparseDataset;
 extern size_t clusters;
 
 // The assignments will be stored in this vector.
-arma::Col<size_t> assignments;
+arma::Row<size_t> assignments;
 // The centroids of each cluster will be stored in this sparse matrix.
 arma::sp_mat sparseCentroids;
 
@@ -550,7 +550,7 @@ void Cluster(MatType& data,
 template<typename MatType>
 void Cluster(MatType& data,
              const size_t clusters,
-             arma::Col<size_t> assignments);
+             arma::Row<size_t> assignments);
 @endcode
 
 The templatization of the \c Cluster() function allows both dense and sparse
@@ -563,7 +563,7 @@ and the wrong type of matrix, you will get many ugly compilation errors!
 // The Cluster() function specialized for dense matrices.
 void Cluster(arma::mat& data,
              const size_t clusters,
-             arma::Col<size_t> assignments);
+             arma::Row<size_t> assignments);
 @endcode
 
 Note that only one of the two possible \c Cluster() functions are required.
@@ -613,7 +613,7 @@ size_t EmptyCluster(const MatType& data,
                     const size_t emptyCluster,
                     const MatType& centroids,
                     arma::Col<size_t>& clusterCounts,
-                    arma::Col<size_t>& assignments);
+                    arma::Row<size_t>& assignments);
 @endcode
 
 The \c EmptyCluster() function is called for each cluster that is empty at each