diff --git a/src/mlpack/methods/lmnn/lmnn.hpp b/src/mlpack/methods/lmnn/lmnn.hpp
index a62f8b86e4..e7c29977f8 100644
--- a/src/mlpack/methods/lmnn/lmnn.hpp
+++ b/src/mlpack/methods/lmnn/lmnn.hpp
@@ -77,7 +77,9 @@ class LMNN
    * LearnDistance() is called with an outputMatrix with correct dimensions,
    * then that matrix will be used as the starting point for optimization.
    *
+   * @tparam CallbackTypes Types of Callback functions.
    * @param outputMatrix Covariance matrix of Mahalanobis distance.
+   * @param callbacks Callback Functions.
    */
   template<typename... CallbackTypes>
   void LearnDistance(arma::mat& outputMatrix, CallbackTypes&&... callbacks);
diff --git a/src/mlpack/methods/nca/nca.hpp b/src/mlpack/methods/nca/nca.hpp
index 046f8e6608..98a88b7c20 100644
--- a/src/mlpack/methods/nca/nca.hpp
+++ b/src/mlpack/methods/nca/nca.hpp
@@ -73,7 +73,9 @@ class NCA
    * dataset.n_rows), that matrix will be used as the starting point for
    * optimization.
    *
+   * @tparam CallbackTypes Types of Callback functions.
    * @param output_matrix Covariance matrix of Mahalanobis distance.
+   * @param callbacks Callback Functions. 
    */
   template<typename... CallbackTypes>
   void LearnDistance(arma::mat& outputMatrix, CallbackTypes&&... callbacks);
diff --git a/src/mlpack/tests/nca_test.cpp b/src/mlpack/tests/nca_test.cpp
index 3760d6e870..3aa410501b 100644
--- a/src/mlpack/tests/nca_test.cpp
+++ b/src/mlpack/tests/nca_test.cpp
@@ -272,7 +272,7 @@ BOOST_AUTO_TEST_CASE(NCASGDSimpleDataset)
   nca.Optimizer().Shuffle() = true;
 
   arma::mat outputMatrix;
-  
+
   std::stringstream stream;
   nca.LearnDistance(outputMatrix, ens::ProgressBar(70, stream));
   BOOST_REQUIRE_GT(stream.str().length(), 0);