Changeset 2335

Timestamp:

Oct 15, 2010, 2:22:13 PM (13 years ago)

Author:

Peter

Message:

prefer lines shorter than 80 characters

File:

• trunk/yat/classifier/KNN.h (modified) (6 diffs)

trunk/yat/classifier/KNN.h

@@ -199 +199 @@
   template <typename Distance, typename NeighborWeighting>
   KNN<Distance, NeighborWeighting>::KNN(const Distance& dist) 
-    : SupervisedClassifier(),data_ml_(0),data_mlw_(0),target_(0),k_(3), distance_(dist)
+    : SupervisedClassifier(), data_ml_(0), data_mlw_(0), target_(0), k_(3), 
+      distance_(dist)
   {
     BOOST_CONCEPT_ASSERT((utility::DistanceConcept<Distance>));
@@ -218 +219 @@
     for(size_t i=0; i<training.columns(); i++) {
       for(size_t j=0; j<test.columns(); j++) {
-        (*distances)(i,j) = distance_(training.begin_column(i), training.end_column(i), 
+        (*distances)(i,j) = distance_(training.begin_column(i), 
+                                      training.end_column(i), 
                                       test.begin_column(j));
         YAT_ASSERT(!std::isnan((*distances)(i,j)));
@@ -234 +236 @@
     for(size_t i=0; i<training.columns(); i++) { 
       for(size_t j=0; j<test.columns(); j++) {
-        (*distances)(i,j) = distance_(training.begin_column(i), training.end_column(i), 
+        (*distances)(i,j) = distance_(training.begin_column(i), 
+                                      training.end_column(i), 
                                       test.begin_column(j));
         // If the distance is NaN (no common variables with non-zero weights),
@@ -303 +306 @@
 
   template <typename Distance, typename NeighborWeighting>
-  void KNN<Distance, NeighborWeighting>::predict(const MatrixLookup& test,
-                                                 utility::Matrix& prediction) const
+  void 
+  KNN<Distance, NeighborWeighting>::predict(const MatrixLookup& test,
+                                            utility::Matrix& prediction) const
   {   
     // matrix with training samples as rows and test samples as columns
@@ -336 +340 @@
 
   template <typename Distance, typename NeighborWeighting>
-  void KNN<Distance, NeighborWeighting>::predict(const MatrixLookupWeighted& test,
-                                                 utility::Matrix& prediction) const
+  void 
+  KNN<Distance, NeighborWeighting>::predict(const MatrixLookupWeighted& test,
+                                            utility::Matrix& prediction) const
   {   
     // matrix with training samples as rows and test samples as columns
@@ -387 +392 @@
           prediction(c,j)=std::numeric_limits<double>::quiet_NaN();
   }
-
-
 }}} // of namespace classifier, yat, and theplu
 
 #endif
-