structure to provide parameters for the BatchLearner More...

#include <BatchConfiguration.hpp>

Public Attributes
size_t	batchsize_
	size of one batch More...

std::string	filename_
	arff-file to be read More...

double	lambda_
	lambda for solving More...

size_t	refineEvery_
	refine every xth batch (0=never) More...

size_t	samples_

int	seed_
	seed for the sampling More...

size_t	stack_
	number of last batches alphavectors to be saved (0=all) More...

size_t	testsize_

bool	verbose_
	verbose flag More...

double	wArgument_
	argument for the weighting method More...

int	wMode_

Detailed Description

structure to provide parameters for the BatchLearner

Member Data Documentation

◆ batchsize_

size_t sgpp::base::BatchConfiguration::batchsize_

size of one batch

number of samles for the monte carlo sampling (normalization) (0=don't sample) good: 1000

◆ filename_

std::string sgpp::base::BatchConfiguration::filename_

arff-file to be read

◆ lambda_

double sgpp::base::BatchConfiguration::lambda_

lambda for solving

◆ refineEvery_

size_t sgpp::base::BatchConfiguration::refineEvery_

refine every xth batch (0=never)

◆ samples_

size_t sgpp::base::BatchConfiguration::samples_

◆ seed_

int sgpp::base::BatchConfiguration::seed_

seed for the sampling

number of weighting mode to use x = batch#, y = wArgument: 0 = all batches are equal,

◆ stack_

size_t sgpp::base::BatchConfiguration::stack_

number of last batches alphavectors to be saved (0=all)

how many items to test from the data following the batch (0=don't test after learned)

◆ testsize_

size_t sgpp::base::BatchConfiguration::testsize_

◆ verbose_

bool sgpp::base::BatchConfiguration::verbose_

verbose flag

◆ wArgument_

double sgpp::base::BatchConfiguration::wArgument_

argument for the weighting method

◆ wMode_

int sgpp::base::BatchConfiguration::wMode_

The documentation for this struct was generated from the following file:

datadriven/src/sgpp/datadriven/configuration/BatchConfiguration.hpp

Public Attributes