[mlpack-git] master: Comment normalization for doxygen, and remove no-longer-relevant comment. (2881fb8)

[gitdub at big.cc.gt.atl.ga.us]

Repository : https://github.com/mlpack/mlpack

On branch  : master
Link       : https://github.com/mlpack/mlpack/compare/904762495c039e345beba14c1142fd719b3bd50e...f94823c800ad6f7266995c700b1b630d5ffdcf40

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

commit 2881fb83bfb574cffa986bc0041ae91e2c8b491c
Author: Ryan Curtin <ryan at ratml.org>
Date:   Wed Aug 20 21:08:24 2014 +0000

    Comment normalization for doxygen, and remove no-longer-relevant comment.


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

2881fb83bfb574cffa986bc0041ae91e2c8b491c
 src/mlpack/core/dists/gaussian_distribution.cpp | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/src/mlpack/core/dists/gaussian_distribution.cpp b/src/mlpack/core/dists/gaussian_distribution.cpp
index 595613e..35c2d12 100644
--- a/src/mlpack/core/dists/gaussian_distribution.cpp
+++ b/src/mlpack/core/dists/gaussian_distribution.cpp
@@ -25,7 +25,6 @@ double GaussianDistribution::Probability(const arma::vec& observation) const
 {
   arma::vec diff = mean - observation;
 
-  // Parentheses required for Armadillo 3.0.0 bug.
   arma::vec exponent = -0.5 * (trans(diff) * inv(covariance) * diff);
 
   // TODO: What if det(cov) < 0?
@@ -177,15 +176,21 @@ std::string GaussianDistribution::ToString() const
 }
 
 
-/*
- * Save to or Load from SaveRestoreUtility
+/*&
+ * Save to SaveRestoreUtility.
  */
-void GaussianDistribution::Save(util::SaveRestoreUtility& sr) const {
+void GaussianDistribution::Save(util::SaveRestoreUtility& sr) const
+{
   sr.SaveParameter(Type(), "type");
   sr.SaveParameter(mean, "mean");
   sr.SaveParameter(covariance, "covariance");
 }
-void GaussianDistribution::Load(const util::SaveRestoreUtility& sr) {
+
+/**
+ * Load from SaveRestoreUtility.
+ */
+void GaussianDistribution::Load(const util::SaveRestoreUtility& sr)
+{
   sr.LoadParameter(mean, "mean");
   sr.LoadParameter(covariance, "covariance");
 }