[mlpack] 21/22: Remove unused variables to fix warnings.

[Barak A. Pearlmutter]

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bap pushed a commit to branch svn-trunk
in repository mlpack.

commit bdc8e806e4f1c2d38a9d1265fa8d2180c1a6bfa5
Author: rcurtin <rcurtin at 9d5b8971-822b-0410-80eb-d18c1038ef23>
Date:   Wed Apr 16 19:09:27 2014 +0000

    Remove unused variables to fix warnings.
    
    
    git-svn-id: http://svn.cc.gatech.edu/fastlab/mlpack/trunk@16442 9d5b8971-822b-0410-80eb-d18c1038ef23
---
 src/mlpack/tests/sparse_autoencoder_test.cpp | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/src/mlpack/tests/sparse_autoencoder_test.cpp b/src/mlpack/tests/sparse_autoencoder_test.cpp
index 735037f..03d4e72 100644
--- a/src/mlpack/tests/sparse_autoencoder_test.cpp
+++ b/src/mlpack/tests/sparse_autoencoder_test.cpp
@@ -105,7 +105,6 @@ BOOST_AUTO_TEST_CASE(SparseAutoencoderFunctionRegularizationEvaluate)
   const size_t trials = 50;
   const size_t vSize = 20;
   const size_t hSize = 10;
-  const size_t l1 = hSize;
   const size_t l2 = vSize;
   const size_t l3 = 2 * hSize;
 
@@ -119,7 +118,7 @@ BOOST_AUTO_TEST_CASE(SparseAutoencoderFunctionRegularizationEvaluate)
   SparseAutoencoderFunction safBigReg(data, vSize, hSize, 20, 0);
 
   // Run a number of trials.
-  for(size_t i = 0; i < trials; i++)
+  for (size_t i = 0; i < trials; i++)
   {
     // Create a random set of parameters.
     arma::mat parameters;
@@ -200,10 +199,8 @@ BOOST_AUTO_TEST_CASE(SparseAutoencoderFunctionKLDivergenceEvaluate)
 BOOST_AUTO_TEST_CASE(SparseAutoencoderFunctionGradient)
 {
   const size_t points = 1000;
-  const size_t trials = 50;
   const size_t vSize = 20;
   const size_t hSize = 10;
-  const size_t l1 = hSize;
   const size_t l2 = vSize;
   const size_t l3 = 2 * hSize;
 

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