struct model model
It represents a trained model that has been obtained using PIRWLS or PSIRWLS.
double * quadratic_value
Definition: IOStructures.h:120
double * quadratic_value
Definition: IOStructures.h:89
double Eta
Definition: IOStructures.h:52
int kernelType
Definition: IOStructures.h:83
A dataset.
Definition: IOStructures.h:114
int nElem
Definition: IOStructures.h:86
int kernelType
Definition: IOStructures.h:46
int index
Definition: IOStructures.h:103
void freeModel(model modelo)
Free model memory.
double * weights
Definition: IOStructures.h:87
int l
Definition: IOStructures.h:115
double bias
Definition: IOStructures.h:91
char * separator
Definition: IOStructures.h:54
struct properties properties
Training parameters of the IRWLS procedures.
It represents a trained model that has been obtained using PIRWLS or PSIRWLS.
Definition: IOStructures.h:81
int Soft
Definition: IOStructures.h:68
int nSVs
Definition: IOStructures.h:85
int algorithm
Definition: IOStructures.h:51
void writeOutput(char fileoutput[], double *predictions, int size)
It writes the content of a double array into a file.
double * y
Definition: IOStructures.h:118
struct svm_dataset svm_dataset
A dataset.
struct svm_sample ** x
Definition: IOStructures.h:119
double Kgamma
Definition: IOStructures.h:45
struct svm_sample * features
Definition: IOStructures.h:92
struct predictProperties predictProperties
Testing parameters of the IRWLS procedures.
int verbose
Definition: IOStructures.h:55
double value
Definition: IOStructures.h:104
int maxdim
Definition: IOStructures.h:117
Training parameters of the IRWLS procedures.
Definition: IOStructures.h:44
int maxdim
Definition: IOStructures.h:90
int sparse
Definition: IOStructures.h:116
struct svm_sample svm_sample
A single feature of a data.
void freeDataset(svm_dataset data)
Free dataset memory.
double C
Definition: IOStructures.h:47
struct svm_sample ** x
Definition: IOStructures.h:88
int Labels
Definition: IOStructures.h:66
int sparse
Definition: IOStructures.h:84
int file
Definition: IOStructures.h:69
int Threads
Definition: IOStructures.h:67
svm_dataset readTrainFile(char filename[])
It reads a file that contains a labeled dataset in libsvm format.
struct svm_sample * features
Definition: IOStructures.h:121
Testing parameters of the IRWLS procedures.
Definition: IOStructures.h:65
void storeModel(model *mod, FILE *Output)
It stores a trained model into a file.
char * separator
Definition: IOStructures.h:70
A single feature of a data.
Definition: IOStructures.h:102
int size
Definition: IOStructures.h:50
double Kgamma
Definition: IOStructures.h:82
svm_dataset readUnlabeledFileCSV(char filename[], char *separator)
It reads a file that contains an unlabeled dataset in CSV format.
void readModel(model *mod, FILE *Input)
It loads a trained model from a file.
int Threads
Definition: IOStructures.h:48
int MaxSize
Definition: IOStructures.h:49
int file
Definition: IOStructures.h:53
svm_dataset readTrainFileCSV(char filename[], char *separator)
It reads a file that contains a labeled dataset in CSV format.
int verbose
Definition: IOStructures.h:71
svm_dataset readUnlabeledFile(char filename[])
It reads a file that contains an unlabeled dataset in libsvm format.