Fix #ifndef, #define, #endif

src/mlpack/methods/hmm/discreteDST.hpp

@@ -30,4 +30,4 @@ class DiscreteDST {
 }; // namespace hmm
 }; // namespace mlpack
 
-#endif // __MLPACK_METHODS_HMM_DISCRETE_DISTRIBUTINO_HPP
+#endif // __MLPACK_METHODS_HMM_DISCRETE_DISTRIBUTION_HPP

src/mlpack/methods/hmm/discreteHMM.hpp

@@ -7,8 +7,8 @@
  * algorithm and Viterbi-like algorithm for parameter estimation. It can also
  * generate sequences from a Hidden Markov  Model.
  */
-#ifndef __MLPACK_METHODS_HMM_DISCRETE_HMM_H
-#define __MLPACK_METHODS_HMM_DISCRETE_HMM_H
+#ifndef __MLPACK_METHODS_HMM_DISCRETE_HMM_HPP
+#define __MLPACK_METHODS_HMM_DISCRETE_HMM_HPP
 
 #include <mlpack/core.h>
 
@@ -150,4 +150,4 @@ class DiscreteHMM {
 }; // namespace hmm
 }; // namespace mlpack
 
-#endif
+#endif // __MLPACK_METHODS_HMM_DISCRETE_HMM_HPP

src/mlpack/methods/hmm/gaussianHMM.hpp

@@ -7,8 +7,8 @@
  * parameter estimation. It can also generate sequences from a Hidden Markov
  * Model.
  */
-#ifndef __MLPACK_METHODS_HMM_GAUSSIAN_HMM_H
-#define __MLPACK_METHODS_HMM_GAUSSIAN_HMM_H
+#ifndef __MLPACK_METHODS_HMM_GAUSSIAN_HMM_HPP
+#define __MLPACK_METHODS_HMM_GAUSSIAN_HMM_HPP
 
 #include <mlpack/core.h>
 
@@ -200,4 +200,4 @@ class GaussianHMM {
 }; // namespace hmm
 }; // namespace mlpack
 
-#endif
+#endif // __MLPACK_METHODS_HMM_GAUSSIAN_HMM_HPP

src/mlpack/methods/hmm/mixgaussHMM.hpp

@@ -6,8 +6,8 @@
  * probable sequence, Baum-Welch algorithm and Viterbi-like algorithm for parameter
  * estimation. It can also generate sequences from a Hidden Markov  Model.
  */
-#ifndef __MLPACK_METHODS_HMM_MIXGAUSS_HMM_H
-#define __MLPACK_METHODS_HMM_MIXGAUSS_HMM_H
+#ifndef __MLPACK_METHODS_HMM_MIXGAUSS_HMM_HPP
+#define __MLPACK_METHODS_HMM_MIXGAUSS_HMM_HPP
 
 #include <mlpack/core.h>
 #include "mixtureDST.hpp"
@@ -170,4 +170,4 @@ class MixtureofGaussianHMM {
 }; // namespace hmm
 }; // namespace mlpack
 
-#endif
+#endif // __MLPACK_METHODS_HMM_MIXGAUSS_HMM_HPP

src/mlpack/methods/hmm/mixtureDST.hpp

@@ -9,8 +9,8 @@
  * parameters (i.e mean and covariance) and the prior probabilities.
  *
  */
-#ifndef __MLPACK_METHODS_HMM_MIXTURE_GAUSSIAN_H
-#define __MLPACK_METHODS_HMM_MIXTURE_GAUSSIAN_H
+#ifndef __MLPACK_METHODS_HMM_MIXTURE_GAUSSIAN_HPP
+#define __MLPACK_METHODS_HMM_MIXTURE_GAUSSIAN_HPP
 
 #include <mlpack/core.h>
 
@@ -168,4 +168,4 @@ class MixtureGauss {
 }; // namespace hmm
 }; // namespace mlpack
 
-#endif
+#endif // __MLPACK_METHODS_HMM_MIXTURE_GAUSSIAN_HPP

src/mlpack/methods/hmm/support.hpp

@@ -1,5 +1,5 @@
-#ifndef __MLPACK_METHODS_HMM_SUPPORT_H
-#define __MLPACK_METHODS_HMM_SUPPORT_H
+#ifndef __MLPACK_METHODS_HMM_SUPPORT_HPP
+#define __MLPACK_METHODS_HMM_SUPPORT_HPP
 
 #include <mlpack/core.h>
 
@@ -71,5 +71,4 @@ namespace hmm_support {
 }; // namespace hmm
 }; // namespace mlpack
 
-#endif
-
+#endif // __MLPACK_METHODS_HMM_SUPPORT_HPP