Support Vector Machine for regression. More...

#include <nusvr.h>

Inheritance diagram for NuSVR:

Public Member Functions
void	train (const DataSet &dataset, SvmParam param) override

Public Member Functions inherited from SVR
void	train (const DataSet &dataset, SvmParam param) override

Public Member Functions inherited from SvmModel
virtual vector< float_type >	predict (const DataSet::node2d &instances, int batch_size)

void	predict_dec_values (const DataSet::node2d &instances, SyncArray< float_type > &dec_values, int batch_size) const

virtual vector< float_type >	cross_validation (DataSet dataset, SvmParam param, int n_fold)

virtual void	save_to_file (string path)

virtual void	load_from_file (string path)

Additional Inherited Members
Protected Member Functions inherited from SVR
void	save_svr_coef (const SyncArray< float_type > &alpha_2, const DataSet::node2d &instances)

Protected Member Functions inherited from SvmModel
virtual void	model_setup (const DataSet &dataset, SvmParam &param)

Protected Attributes inherited from SvmModel
SvmParam	param

SyncArray< float_type >	coef

DataSet::node2d	sv

SyncArray< int >	n_sv
	the number of support vectors for each class

int	n_total_sv
	the number of support vectors for all classes

SyncArray< float_type >	rho
	the bias term for each binary model

int	n_classes = 2
	the number of classes

size_t	n_binary_models
	the number of binary models, equal to \(k(k-1)/2\), where \(k\) is the number of classes

vector< float_type >	probA
	be used to predict probability for each binary model

vector< float_type >	probB
	be used to predict probability for each binary model

vector< int >	label
	only for SVC, maps logical label (0,1,2,...) to real label in dataset (maybe 2,4,5,...)

Detailed Description

Support Vector Machine for regression.

Member Function Documentation

overridevirtual

train model given dataset and param.

Parameters

dataset	training dataset
param	param for training

Implements SvmModel.

The documentation for this class was generated from the following files: