From 7c8a5e4b2a7cff7573b1a308daf19d2dbd558a9c Mon Sep 17 00:00:00 2001
From: Gertjan van den Burg <gertjanvandenburg@gmail.com>
Date: Mon, 9 May 2016 20:55:24 +0200
Subject: strip whitespaces

---
 src/gensvm_crossval.c | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

(limited to 'src/gensvm_crossval.c')

diff --git a/src/gensvm_crossval.c b/src/gensvm_crossval.c
index 864e692..6930166 100644
--- a/src/gensvm_crossval.c
+++ b/src/gensvm_crossval.c
@@ -1,13 +1,13 @@
 /**
  * @file crossval.c
- * @author Gertjan van den Burg 
+ * @author Gertjan van den Burg
  * @date January 7, 2014
  * @brief Functions for cross validation
  *
  * @details
  * This file contains functions for performing cross validation. The funtion
  * gensvm_make_cv_split() creates a cross validation vector for non-stratified
- * cross validation. The function gensvm_get_tt_split() creates a train and 
+ * cross validation. The function gensvm_get_tt_split() creates a train and
  * test dataset from a given dataset and a pre-determined CV partition vector.
  * See individual function documentation for details.
  *
@@ -22,17 +22,17 @@
  *
  * @details
  * A pre-allocated vector of length N is created which can be used to define
- * cross validation splits. The folds are contain between 
- * @f$ \lfloor N / folds \rfloor @f$ and @f$ \lceil N / folds \rceil @f$ 
- * instances. An instance is mapped to a partition randomly until all folds 
- * contain @f$ N \% folds @f$ instances. The zero fold then contains 
+ * cross validation splits. The folds are contain between
+ * @f$ \lfloor N / folds \rfloor @f$ and @f$ \lceil N / folds \rceil @f$
+ * instances. An instance is mapped to a partition randomly until all folds
+ * contain @f$ N \% folds @f$ instances. The zero fold then contains
  * @f$ N / folds + N \% folds @f$ instances. These remaining @f$ N \% folds @f$
- * instances are then distributed over the first @f$ N \% folds @f$ folds. 
+ * instances are then distributed over the first @f$ N \% folds @f$ folds.
  *
  * @param[in] 		N 	number of instances
  * @param[in] 		folds 	number of folds
  * @param[in,out] 	cv_idx 	array of size N which contains the fold index
- * 				for each observation on exit	
+ * 				for each observation on exit
  *
  */
 void gensvm_make_cv_split(long N, long folds, long *cv_idx)
@@ -44,7 +44,7 @@ void gensvm_make_cv_split(long N, long folds, long *cv_idx)
 
 	long big_folds = N%folds;
 	long small_fold_size = N/folds;
-	
+
 	j = 0;
 	for (i=0; i<small_fold_size*folds; i++)
 		while (1) {
@@ -73,9 +73,9 @@ void gensvm_make_cv_split(long N, long folds, long *cv_idx)
  * @details
  * Given a GenData structure for the full dataset, a previously created
  * cross validation split vector and a fold index, a training and test dataset
- * are created. 
+ * are created.
  *
- * @param[in] 		full_data 	a GenData structure for the entire 
+ * @param[in] 		full_data 	a GenData structure for the entire
  * 					dataset
  * @param[in,out] 	train_data 	an initialized GenData structure which
  * 					on exit contains the training dataset
@@ -83,7 +83,7 @@ void gensvm_make_cv_split(long N, long folds, long *cv_idx)
  * 					on exit contains the test dataset
  * @param[in] 		cv_idx 		a vector of cv partitions created by
  * 					gensvm_make_cv_split()
- * @param[in] 		fold_idx 	index of the fold which becomes the 
+ * @param[in] 		fold_idx 	index of the fold which becomes the
  * 					test dataset
  */
 void gensvm_get_tt_split(struct GenData *full_data, struct GenData *train_data,
-- 
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