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| author | Gertjan van den Burg <burg@ese.eur.nl> | 2014-06-26 17:53:51 +0200 |
|---|---|---|
| committer | Gertjan van den Burg <burg@ese.eur.nl> | 2014-06-26 17:53:51 +0200 |
| commit | 244b5d30b3f794a030be5d943fa9f672e50c38ad (patch) | |
| tree | 52e645cb278df0a35d140d0e530012037df32a23 /src/msvmmaj_train_dataset.c | |
| parent | remove comments from prediction function (diff) | |
| download | gensvm-244b5d30b3f794a030be5d943fa9f672e50c38ad.tar.gz gensvm-244b5d30b3f794a030be5d943fa9f672e50c38ad.zip | |
remove fixed random seed from grid search
Diffstat (limited to 'src/msvmmaj_train_dataset.c')
| -rw-r--r-- | src/msvmmaj_train_dataset.c | 4 |
1 files changed, 0 insertions, 4 deletions
diff --git a/src/msvmmaj_train_dataset.c b/src/msvmmaj_train_dataset.c index 29b410b..7db1379 100644 --- a/src/msvmmaj_train_dataset.c +++ b/src/msvmmaj_train_dataset.c @@ -425,10 +425,6 @@ void consistency_repeats(struct Queue *q, long repeats, TrainType traintype) * seed_model parameter. If seed_model is NULL, random starting values are * used. * - * @todo - * There must be some inefficiencies here because the fold model is allocated - * at every fold. This would be detrimental with large datasets. - * * @param[in] model MajModel with the configuration to train * @param[in] seed_model MajModel with a seed for MajModel::V * @param[in] data MajData with the dataset |