33 #ifndef BUDGETEDTRAIN_ 34 #define BUDGETEDTRAIN_ A dataset.
Definition: IOStructures.h:114
properties parseTrainParameters(int *argc, char ***argv)
It parses input command line to extract the parameters of the budgeted algorithm. ...
It represents a trained model that has been obtained using PIRWLS or PSIRWLS.
Definition: IOStructures.h:81
int * SGMA(svm_dataset dataset, properties props)
Sparse Greedy Matrix Approximation algorithm.
int * randomCentroids(svm_dataset dataset, properties props)
Random selection of centroids for the budgeted model.
void printBudgetedInstructions(void)
Print Instructions.
Input and Output structures and procedures.
Training parameters of the IRWLS procedures.
Definition: IOStructures.h:44
double * IRWLSpar(svm_dataset dataset, int *indexes, properties props)
Iterative Re-Weighted Least Squares Algorithm.
model calculateBudgetedModel(properties props, svm_dataset dataset, int *centroids, double *beta)
It converts the result of the budgeted algorithm into a model struct.