struct model model
It represents a trained model that has been obtained using PIRWLS or PSIRWLS.
double * quadratic_value
Definition: IOStructures.h:114
double * quadratic_value
Definition: IOStructures.h:83
double Eta
Definition: IOStructures.h:52
int kernelType
Definition: IOStructures.h:77
A dataset.
Definition: IOStructures.h:108
int nElem
Definition: IOStructures.h:80
int kernelType
Definition: IOStructures.h:46
int index
Definition: IOStructures.h:97
void freeModel(model modelo)
Free model memory.
double * weights
Definition: IOStructures.h:81
int l
Definition: IOStructures.h:109
double bias
Definition: IOStructures.h:85
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:75
int Soft
Definition: IOStructures.h:65
int nSVs
Definition: IOStructures.h:79
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:112
struct svm_dataset svm_dataset
A dataset.
struct svm_sample ** x
Definition: IOStructures.h:113
double Kgamma
Definition: IOStructures.h:45
struct svm_sample * features
Definition: IOStructures.h:86
struct predictProperties predictProperties
Testing parameters of the IRWLS procedures.
double value
Definition: IOStructures.h:98
int maxdim
Definition: IOStructures.h:111
Training parameters of the IRWLS procedures.
Definition: IOStructures.h:44
int maxdim
Definition: IOStructures.h:84
int sparse
Definition: IOStructures.h:110
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:82
int Labels
Definition: IOStructures.h:63
int sparse
Definition: IOStructures.h:78
int Threads
Definition: IOStructures.h:64
svm_dataset readTrainFile(char filename[])
It reads a file that contains a labeled dataset in libsvm format.
struct svm_sample * features
Definition: IOStructures.h:115
Testing parameters of the IRWLS procedures.
Definition: IOStructures.h:62
void storeModel(model *mod, FILE *Output)
It stores a trained model into a file.
A single feature of a data.
Definition: IOStructures.h:96
int size
Definition: IOStructures.h:50
double Kgamma
Definition: IOStructures.h:76
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
svm_dataset readUnlabeledFile(char filename[])
It reads a file that contains an unlabeled dataset in libsvm format.