[mlpack-git] master: Adjust the performance function test; use the simplified performance function. (61d7876)

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

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

On branch  : master
Link       : https://github.com/mlpack/mlpack/compare/0547fb75a32eda7e273651a7e6b6a258c5885a1e...61d7876048f2208cf45d41d71f9d4baa825e2a51

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

commit 61d7876048f2208cf45d41d71f9d4baa825e2a51
Author: Marcus Edel <marcus.edel at fu-berlin.de>
Date:   Mon Jun 1 23:28:09 2015 +0200

    Adjust the performance function test; use the simplified performance function.


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

61d7876048f2208cf45d41d71f9d4baa825e2a51
 src/mlpack/methods/ann/init_rules/random_init.hpp | 4 ++--
 src/mlpack/tests/activation_functions_test.cpp    | 2 +-
 src/mlpack/tests/performance_functions_test.cpp   | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/mlpack/methods/ann/init_rules/random_init.hpp b/src/mlpack/methods/ann/init_rules/random_init.hpp
index c7714f8..4e38623 100644
--- a/src/mlpack/methods/ann/init_rules/random_init.hpp
+++ b/src/mlpack/methods/ann/init_rules/random_init.hpp
@@ -26,8 +26,8 @@ class RandomInitialization
    * @param lowerBound The number used as lower bound.
    * @param upperBound The number used as upper bound.
    */
-  RandomInitialization(const double lowerBound = -0.05,
-                       const double upperBound = 0.05) :
+  RandomInitialization(const double lowerBound = -1,
+                       const double upperBound = 1) :
       lowerBound(lowerBound), upperBound(upperBound) { }
 
   /**
diff --git a/src/mlpack/tests/activation_functions_test.cpp b/src/mlpack/tests/activation_functions_test.cpp
index 5d2ce2d..1aa9926 100644
--- a/src/mlpack/tests/activation_functions_test.cpp
+++ b/src/mlpack/tests/activation_functions_test.cpp
@@ -215,7 +215,7 @@ void CheckGradientNumericallyCorrect(const arma::colvec input,
                                      const double threshold)
 {
   // Specify the structure of the feed forward neural network.
-  RandomInitialization<> randInit(-0.5, 0.5);
+  RandomInitialization randInit(-0.5, 0.5);
   arma::colvec error;
 
   NeuronLayer<ActivationFunction> inputLayer(input.n_elem);
diff --git a/src/mlpack/tests/performance_functions_test.cpp b/src/mlpack/tests/performance_functions_test.cpp
index 31eec7e..84839a1 100644
--- a/src/mlpack/tests/performance_functions_test.cpp
+++ b/src/mlpack/tests/performance_functions_test.cpp
@@ -24,7 +24,7 @@ BOOST_AUTO_TEST_CASE(MeanSquaredErrorTest)
   arma::colvec input("1.0 0.0 1.0 0.0 -1.0 0.0 -1.0 0.0");
   arma::colvec target = arma::zeros<arma::colvec>(8);
 
-  BOOST_REQUIRE_EQUAL(MeanSquaredErrorFunction<>::Error(input, target), 0.5);
+  BOOST_REQUIRE_EQUAL(MeanSquaredErrorFunction::Error(input, target), 0.5);
 }
 
 // Test the cross entropy performance function.
@@ -43,7 +43,7 @@ BOOST_AUTO_TEST_CASE(SumSquaredErrorTest)
   arma::colvec input("1.0 0.0 1.0 0.0 -1.0 0.0 -1.0 0.0");
   arma::colvec target = arma::zeros<arma::colvec>(8);
 
-  BOOST_REQUIRE_EQUAL(SumSquaredErrorFunction<>::Error(input, target), 4);
+  BOOST_REQUIRE_EQUAL(SumSquaredErrorFunction::Error(input, target), 4);
 }
 
 BOOST_AUTO_TEST_SUITE_END();