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| author | Gertjan van den Burg <burg@ese.eur.nl> | 2016-12-06 16:26:01 +0100 |
|---|---|---|
| committer | Gertjan van den Burg <burg@ese.eur.nl> | 2016-12-06 16:26:01 +0100 |
| commit | a1d164e6371eaf81a8aaf0be1e1a9b16a1af43fc (patch) | |
| tree | 8fb1d9784d7903fe9e0f188440e52a35c2b0c644 /include/gensvm_grid.h | |
| parent | add msvmmaj matlab file to git (diff) | |
| download | gensvm-a1d164e6371eaf81a8aaf0be1e1a9b16a1af43fc.tar.gz gensvm-a1d164e6371eaf81a8aaf0be1e1a9b16a1af43fc.zip | |
document undocumented elements
Diffstat (limited to 'include/gensvm_grid.h')
| -rw-r--r-- | include/gensvm_grid.h | 24 |
1 files changed, 24 insertions, 0 deletions
diff --git a/include/gensvm_grid.h b/include/gensvm_grid.h index 24a6e9a..900a62a 100644 --- a/include/gensvm_grid.h +++ b/include/gensvm_grid.h @@ -66,28 +66,52 @@ */ struct GenGrid { TrainType traintype; + ///< type of training to use KernelType kerneltype; + ///< type of kernel to use throughout training long folds; + ///< number of folds in cross validation long repeats; + ///< number of repeats to be done after the grid search to find the + ///< parameter set with the most consistent high performance double percentile; + ///< percentile to use for the consistency repeats long Np; + ///< size of the array of p values long Nl; + ///< size of the array of lambda values long Nk; + ///< size of the array of kappa values long Ne; + ///< size of the array of epsilon values long Nw; + ///< size of the array of weight_idx values long Ng; + ///< size of the array of gamma values long Nc; + ///< size of the array of coef values long Nd; + ///< size of the array of degree values int *weight_idxs; + ///< array of weight_idxs double *ps; + ///< array of p values double *lambdas; + ///< array of lambda values double *kappas; + ///< array of kappa values double *epsilons; + ///< array of epsilon values double *gammas; + ///< array of gamma values double *coefs; + ///< array of coef values double *degrees; + ///< array of degree values char *train_data_file; + ///< filename of train data file char *test_data_file; + ///< filename of test data file }; // function declarations |
