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authorGertjan van den Burg <gertjanvandenburg@gmail.com>2016-05-09 20:55:24 +0200
committerGertjan van den Burg <gertjanvandenburg@gmail.com>2016-05-09 20:55:24 +0200
commit7c8a5e4b2a7cff7573b1a308daf19d2dbd558a9c (patch)
tree2c4774a63ec91d60931d822a7607a5011711c946 /src/gensvm_pred.c
parentadd doc and test to phony (diff)
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Diffstat (limited to 'src/gensvm_pred.c')
-rw-r--r--src/gensvm_pred.c6
1 files changed, 3 insertions, 3 deletions
diff --git a/src/gensvm_pred.c b/src/gensvm_pred.c
index 7baae07..7835bf6 100644
--- a/src/gensvm_pred.c
+++ b/src/gensvm_pred.c
@@ -6,7 +6,7 @@
*
* @details
* This file contains functions for predicting the class labels of instances
- * and a function for calculating the predictive performance (hitrate) of
+ * and a function for calculating the predictive performance (hitrate) of
* a prediction given true class labels.
*
*/
@@ -24,7 +24,7 @@
* @brief Predict class labels of data given and output in predy
*
* @details
- * The labels are predicted by mapping each instance in data to the
+ * The labels are predicted by mapping each instance in data to the
* simplex space using the matrix V in the given model. Next, for each
* instance the nearest simplex vertex is determined using an Euclidean
* norm. The nearest simplex vertex determines the predicted class label,
@@ -113,7 +113,7 @@ void gensvm_predict_labels(struct GenData *testdata, struct GenModel *model,
*
* @details
* The predictive performance is calculated by simply counting the number
- * of correctly classified samples and dividing by the total number of
+ * of correctly classified samples and dividing by the total number of
* samples, multiplying by 100.
*
* @param[in] data the GenData dataset with known labels