[mlpack-git] master: Minor style and formatting changes. (c13f764)

gitdub at big.cc.gt.atl.ga.us gitdub at big.cc.gt.atl.ga.us
Fri Nov 13 12:45:53 EST 2015


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

On branch  : master
Link       : https://github.com/mlpack/mlpack/compare/0f4e83dc9cc4dcdc315d2cceee32b23ebab114c2...7388de71d5398103ee3a0b32b4026902a40a67b3

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

commit c13f7645086896eff39bd748abceaa87e4bf2c09
Author: marcus <marcus.edel at fu-berlin.de>
Date:   Thu Nov 12 14:46:24 2015 +0100

    Minor style and formatting changes.


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

c13f7645086896eff39bd748abceaa87e4bf2c09
 src/mlpack/tests/feedforward_network_test.cpp | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/src/mlpack/tests/feedforward_network_test.cpp b/src/mlpack/tests/feedforward_network_test.cpp
index f8b964e..4c54e77 100644
--- a/src/mlpack/tests/feedforward_network_test.cpp
+++ b/src/mlpack/tests/feedforward_network_test.cpp
@@ -82,7 +82,7 @@ void BuildVanillaNetwork(MatType& trainData,
   OutputLayerType classOutputLayer;
 
   auto modules = std::tie(inputLayer, inputBiasLayer, inputBaseLayer,
-  						  hiddenLayer1, hiddenBiasLayer1, outputLayer);
+                          hiddenLayer1, hiddenBiasLayer1, outputLayer);
 
   FFN<decltype(modules), decltype(classOutputLayer), PerformanceFunctionType>
       net(modules, classOutputLayer);
@@ -95,8 +95,8 @@ void BuildVanillaNetwork(MatType& trainData,
 
   for (size_t i = 0; i < testData.n_cols; i++)
   {
-  	MatType predictionInput = testData.unsafe_col(i);
-  	MatType targetOutput = testLabels.unsafe_col(i);
+    MatType predictionInput = testData.unsafe_col(i);
+    MatType targetOutput = testLabels.unsafe_col(i);
 
     net.Predict(predictionInput, prediction);
 
@@ -212,7 +212,7 @@ void BuildDropoutNetwork(MatType& trainData,
   OutputLayerType classOutputLayer;
 
   auto modules = std::tie(inputLayer, biasLayer, hiddenLayer0, dropoutLayer0,
-      					  hiddenLayer1, outputLayer);
+                          hiddenLayer1, outputLayer);
 
   FFN<decltype(modules), decltype(classOutputLayer), PerformanceFunctionType>
       net(modules, classOutputLayer);
@@ -225,10 +225,10 @@ void BuildDropoutNetwork(MatType& trainData,
 
   for (size_t i = 0; i < testData.n_cols; i++)
   {
-  	MatType input = testData.unsafe_col(i);
+    MatType input = testData.unsafe_col(i);
     net.Predict(input, prediction);
     if (arma::sum(arma::sum(arma::abs(
-    	prediction - testLabels.unsafe_col(i)))) == 0)
+      prediction - testLabels.unsafe_col(i)))) == 0)
       error++;
   }
 
@@ -388,7 +388,7 @@ void BuildNetworkOptimzer(MatType& trainData,
   OutputLayerType classOutputLayer;
 
   auto modules = std::tie(inputLayer, inputBiasLayer, inputBaseLayer,
-  						  hiddenLayer1, hiddenBiasLayer1, outputLayer);
+                hiddenLayer1, hiddenBiasLayer1, outputLayer);
 
   FFN<decltype(modules), OutputLayerType, PerformanceFunctionType>
       net(modules, classOutputLayer);



More information about the mlpack-git mailing list