[mlpack-git] master, mlpack-1.0.x: Trivial spacing fixes. (fb7d980)

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

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

On branches: master,mlpack-1.0.x
Link       : https://github.com/mlpack/mlpack/compare/904762495c039e345beba14c1142fd719b3bd50e...f94823c800ad6f7266995c700b1b630d5ffdcf40

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

commit fb7d9807a1a8b7223998d5e5e35bfc8946412b59
Author: Ryan Curtin <ryan at ratml.org>
Date:   Tue Jul 8 11:27:44 2014 +0000

    Trivial spacing fixes.


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

fb7d9807a1a8b7223998d5e5e35bfc8946412b59
 src/mlpack/tests/decision_stump_test.cpp | 36 ++++++++++++++++----------------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/src/mlpack/tests/decision_stump_test.cpp b/src/mlpack/tests/decision_stump_test.cpp
index 04fbf41..d6e4791 100644
--- a/src/mlpack/tests/decision_stump_test.cpp
+++ b/src/mlpack/tests/decision_stump_test.cpp
@@ -104,11 +104,11 @@ BOOST_AUTO_TEST_CASE(PerfectSplitOnZero)
   Row<size_t> predictedLabels(testingData.n_cols);
   ds.Classify(testingData, predictedLabels);
 
-  BOOST_CHECK_EQUAL(predictedLabels(0,0),0);
-  BOOST_CHECK_EQUAL(predictedLabels(0,1),1);
-  BOOST_CHECK_EQUAL(predictedLabels(0,2),0);
-  BOOST_CHECK_EQUAL(predictedLabels(0,3),0);
-  BOOST_CHECK_EQUAL(predictedLabels(0,4),1);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 0), 0);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 1), 1);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 2), 0);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 3), 0);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 4), 1);
 }
 
 /**
@@ -135,7 +135,7 @@ BOOST_AUTO_TEST_CASE(BinningTesting)
   Row<size_t> predictedLabels(testingData.n_cols);
   ds.Classify(testingData, predictedLabels);
 
-  BOOST_CHECK_EQUAL(predictedLabels(0,0),0);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 0), 0);
 }
 
 /**
@@ -165,10 +165,10 @@ BOOST_AUTO_TEST_CASE(PerfectMultiClassSplit)
   Row<size_t> predictedLabels(testingData.n_cols);
   ds.Classify(testingData, predictedLabels);
 
-  BOOST_CHECK_EQUAL(predictedLabels(0,0),0);
-  BOOST_CHECK_EQUAL(predictedLabels(0,1),1);
-  BOOST_CHECK_EQUAL(predictedLabels(0,2),2);
-  BOOST_CHECK_EQUAL(predictedLabels(0,3),3);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 0), 0);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 1), 1);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 2), 2);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 3), 3);
 }
 
 /**
@@ -200,14 +200,14 @@ BOOST_AUTO_TEST_CASE(MultiClassSplit)
   Row<size_t> predictedLabels(testingData.n_cols);
   ds.Classify(testingData, predictedLabels);
 
-  BOOST_CHECK_EQUAL(predictedLabels(0,0),0);
-  BOOST_CHECK_EQUAL(predictedLabels(0,1),0);
-  BOOST_CHECK_EQUAL(predictedLabels(0,2),0);
-  BOOST_CHECK_EQUAL(predictedLabels(0,3),0);
-  BOOST_CHECK_EQUAL(predictedLabels(0,4),0);
-  BOOST_CHECK_EQUAL(predictedLabels(0,5),1);
-  BOOST_CHECK_EQUAL(predictedLabels(0,6),2);
-  BOOST_CHECK_EQUAL(predictedLabels(0,7),2);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 0), 0);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 1), 0);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 2), 0);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 3), 0);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 4), 0);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 5), 1);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 6), 2);
+  BOOST_CHECK_EQUAL(predictedLabels(0, 7), 2);
 }
 
 BOOST_AUTO_TEST_SUITE_END();