SvmWrapper.h File Reference

#include "SVMparam.h"

Go to the source code of this file.

Namespaces
	KKMLL
	Namespace for all K^2 Machine Learning code.

Typedefs
typedef std::vector< double >	KKMLL::Dvector
typedef std::vector< float >	KKMLL::Fvector
typedef std::vector< kkint32 >	KKMLL::Ivector

Enumerations
enum	KKMLL::LearnType {   KKMLL::LearnType::NORMAL, KKMLL::LearnType::BAGGING, KKMLL::LearnType::BOOSTING, KKMLL::LearnType::SUBSPACE,   KKMLL::LearnType::SAMPLESV }

Functions
void	KKMLL::EncodeProblem (const struct svm_paramater &param, struct svm_problem &prob_in, struct svm_problem &prob_out)
void	KKMLL::SvmDestroyModel (struct SvmModel233 **subModel)
struct SvmModel233 **	KKMLL::SvmLoadModel (istream &f, RunLog &log)
void	KKMLL::SvmPredictClass (SVMparam &svmParam, struct SvmModel233 **subModel, const struct svm_node *unknownClassFeatureData, kkint32 *votes, double *probabilities, kkint32 knownClass, kkint32 &predClass1, kkint32 &predClass2, kkint32 &predClass1Votes, kkint32 &predClass2Votes, double &predClass1Prob, double &predClass2Prob, double &probOfKnownClass, Ivector &winners, double **crossClassProbTable, double &breakTie)
void	KKMLL::SvmPredictRaw (SvmModel233 **submodel, const svm_node *unKnownData, double &label, double &dist)
kkint32	KKMLL::SvmPredictTwoClass (const struct svm_parameter &param, SvmModel233 **submodel, const svm_node *unKnownData, kkint32 desired, double &dist, double &probability, kkint32 excludeSupportVectorIDX)
void	KKMLL::SvmSaveModel (ostream &o, struct SvmModel233 **model)
struct SvmModel233 **	KKMLL::SvmTrainModel (const struct svm_parameter &param, struct svm_problem &subprob)