[mlpack-git] master: Decrease the overall test time by decreasing the layer size and number of epochs. (5235578)

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

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

On branch  : master
Link       : https://github.com/mlpack/mlpack/compare/2da470c4d465af81639fc5bccbd8a5da84c75cdc...52355783c75dcf250b75362f5734fa357156da62

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

commit 52355783c75dcf250b75362f5734fa357156da62
Author: Marcus Edel <marcus.edel at fu-berlin.de>
Date:   Wed Sep 2 15:34:09 2015 +0200

    Decrease the overall test time by decreasing the layer size and number of epochs.


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

52355783c75dcf250b75362f5734fa357156da62
 src/mlpack/methods/ann/trainer/trainer.hpp    | 2 --
 src/mlpack/tests/feedforward_network_test.cpp | 8 ++++----
 2 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/src/mlpack/methods/ann/trainer/trainer.hpp b/src/mlpack/methods/ann/trainer/trainer.hpp
index cbb6521..62b331e 100644
--- a/src/mlpack/methods/ann/trainer/trainer.hpp
+++ b/src/mlpack/methods/ann/trainer/trainer.hpp
@@ -84,8 +84,6 @@ class Trainer
           ElementCount(trainingData) - 1, ElementCount(trainingData));
       epoch = 0;
 
-      size_t foo = 0;
-
       while(true)
       {
         if (shuffle)
diff --git a/src/mlpack/tests/feedforward_network_test.cpp b/src/mlpack/tests/feedforward_network_test.cpp
index 2ffc3d4..29a562c 100644
--- a/src/mlpack/tests/feedforward_network_test.cpp
+++ b/src/mlpack/tests/feedforward_network_test.cpp
@@ -265,7 +265,7 @@ BOOST_AUTO_TEST_CASE(DropoutNetworkTest)
   BuildDropoutNetwork<LogisticFunction,
                       BinaryClassificationLayer,
                       MeanSquaredErrorFunction>
-      (trainData, trainLabels, testData, testLabels, 4, 500, 0.1, 60);
+      (trainData, trainLabels, testData, testLabels, 4, 100, 0.1, 60);
 
   dataset.load("mnist_first250_training_4s_and_9s.arm");
 
@@ -280,13 +280,13 @@ BOOST_AUTO_TEST_CASE(DropoutNetworkTest)
   BuildVanillaNetwork<LogisticFunction,
                       BinaryClassificationLayer,
                       MeanSquaredErrorFunction>
-      (dataset, labels, dataset, labels, 30, 100, 0.6, 10);
+      (dataset, labels, dataset, labels, 8, 100, 0.6, 10);
 
   // Vanilla neural net with tanh activation function.
   BuildVanillaNetwork<TanhFunction,
                       BinaryClassificationLayer,
                       MeanSquaredErrorFunction>
-    (dataset, labels, dataset, labels, 10, 200, 0.6, 20);
+    (dataset, labels, dataset, labels, 8, 100, 0.6, 20);
 }
 
 /**
@@ -424,7 +424,7 @@ BOOST_AUTO_TEST_CASE(NetworkDecreasingErrorTest)
                        LogisticFunction,
                        BinaryClassificationLayer,
                        MeanSquaredErrorFunction>
-      (dataset, labels, dataset, labels, 30, 50);
+      (dataset, labels, dataset, labels, 30, 10);
 }
 
 BOOST_AUTO_TEST_SUITE_END();