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| author | Gertjan van den Burg <burg@ese.eur.nl> | 2014-03-21 16:09:34 +0100 |
|---|---|---|
| committer | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2014-05-19 22:39:28 -0700 |
| commit | 45ebfa383f3416cd99ada5355df1e3cc5ff9b141 (patch) | |
| tree | 64502eb16f648f2965ed8c88f2fb6857d0887d02 /include/msvmmaj_train_dataset.h | |
| parent | work on regularization term with nonlinearity (diff) | |
| download | gensvm-45ebfa383f3416cd99ada5355df1e3cc5ff9b141.tar.gz gensvm-45ebfa383f3416cd99ada5355df1e3cc5ff9b141.zip | |
reached basic functionality of nonlinear training and grid search
Diffstat (limited to 'include/msvmmaj_train_dataset.h')
| -rw-r--r-- | include/msvmmaj_train_dataset.h | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/include/msvmmaj_train_dataset.h b/include/msvmmaj_train_dataset.h index 4ee39bf..2afcde8 100644 --- a/include/msvmmaj_train_dataset.h +++ b/include/msvmmaj_train_dataset.h @@ -29,7 +29,7 @@ * @param lambda parameter for the MajModel * @param epsilon parameter for the MajModel * @param kerneltype parameter for the MajModel - * @param *kernel_param parameters for the MajModel + * @param *kernelparam parameters for the MajModel * @param *train_data pointer to the training data * @param *test_data pointer to the test data (if any) * @param performance performance after cross validation @@ -43,7 +43,7 @@ struct Task { double kappa; double lambda; double epsilon; - double *kernel_param; + double *kernelparam; struct MajData *train_data; struct MajData *test_data; double performance; @@ -137,4 +137,5 @@ void copy_model(struct MajModel *from, struct MajModel *to); void msvmmaj_reallocate_model(struct MajModel *model, long n); +void print_progress_string(struct Task *task, long N); #endif |