[mlpack-svn] master: Minor comment fix. (7c08cd7)
gitdub at big.cc.gt.atl.ga.us
gitdub at big.cc.gt.atl.ga.us
Fri Jan 2 12:17:34 EST 2015
Repository : https://github.com/mlpack/mlpack
On branch : master
Link : https://github.com/mlpack/mlpack/compare/95106d0c279591ff7894455f60595452799e73a5...a9d746c9c13f8f2950c89ea6f5f91a928f622d04
>---------------------------------------------------------------
commit 7c08cd765b5f7c5740de9ec007dabc863e3de8c5
Author: Marcus Edel <marcus.edel at fu-berlin.de>
Date: Fri Jan 2 17:34:26 2015 +0100
Minor comment fix.
>---------------------------------------------------------------
7c08cd765b5f7c5740de9ec007dabc863e3de8c5
src/mlpack/methods/ann/connections/full_connection.hpp | 9 +++++++--
src/mlpack/methods/ann/connections/fullself_connection.hpp | 13 +++++++++----
src/mlpack/methods/ann/connections/self_connection.hpp | 11 ++++++++---
3 files changed, 24 insertions(+), 9 deletions(-)
diff --git a/src/mlpack/methods/ann/connections/full_connection.hpp b/src/mlpack/methods/ann/connections/full_connection.hpp
index 82efd49..da95755 100644
--- a/src/mlpack/methods/ann/connections/full_connection.hpp
+++ b/src/mlpack/methods/ann/connections/full_connection.hpp
@@ -40,8 +40,13 @@ class FullConnection
* Create the FullConnection object using the specified input layer, output
* layer, optimizer and weight initialize rule.
*
- * @param lowerBound The number used as lower bound.
- * @param upperBound The number used as upper bound.
+ * @param InputLayerType The input layer which is connected with the output
+ * layer.
+ * @param OutputLayerType The output layer which is connected with the input
+ * layer.
+ * @param OptimizerType The optimizer used to update the weight matrix.
+ * @param WeightInitRule The weight initialize rule used to initialize the
+ * weight matrix.
*/
FullConnection(InputLayerType& inputLayer,
OutputLayerType& outputLayer,
diff --git a/src/mlpack/methods/ann/connections/fullself_connection.hpp b/src/mlpack/methods/ann/connections/fullself_connection.hpp
index 5d7fc81..37b6dc3 100644
--- a/src/mlpack/methods/ann/connections/fullself_connection.hpp
+++ b/src/mlpack/methods/ann/connections/fullself_connection.hpp
@@ -39,11 +39,16 @@ class FullselfConnection
{
public:
/**
- * Create the FullselfConnection object using the specified input layer,
- * output layer, optimizer and weight initialize rule.
+ * Create the FullConnection object using the specified input layer, output
+ * layer, optimizer and weight initialize rule.
*
- * @param lowerBound The number used as lower bound.
- * @param upperBound The number used as upper bound.
+ * @param InputLayerType The input layer which is connected with the output
+ * layer.
+ * @param OutputLayerType The output layer which is connected with the input
+ * layer.
+ * @param OptimizerType The optimizer used to update the weight matrix.
+ * @param WeightInitRule The weight initialize rule used to initialize the
+ * weight matrix.
*/
FullselfConnection(InputLayerType& inputLayer,
OutputLayerType& outputLayer,
diff --git a/src/mlpack/methods/ann/connections/self_connection.hpp b/src/mlpack/methods/ann/connections/self_connection.hpp
index 2f404ba..6401c42 100644
--- a/src/mlpack/methods/ann/connections/self_connection.hpp
+++ b/src/mlpack/methods/ann/connections/self_connection.hpp
@@ -39,11 +39,16 @@ class SelfConnection
{
public:
/**
- * Create the SelfConnection object using the specified input layer, output
+ * Create the FullConnection object using the specified input layer, output
* layer, optimizer and weight initialize rule.
*
- * @param lowerBound The number used as lower bound.
- * @param upperBound The number used as upper bound.
+ * @param InputLayerType The input layer which is connected with the output
+ * layer.
+ * @param OutputLayerType The output layer which is connected with the input
+ * layer.
+ * @param OptimizerType The optimizer used to update the weight matrix.
+ * @param WeightInitRule The weight initialize rule used to initialize the
+ * weight matrix.
*/
SelfConnection(InputLayerType& inputLayer,
OutputLayerType& outputLayer,
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