BootstrapSamplerBase< Data > Class Template Reference

Base class/interface for the bootstrap sampler. More...

Inheritance diagram for BootstrapSamplerBase< Data >:

Public Member Functions
	BootstrapSamplerBase (size_t data_size, Data orig_data)
	Constructor for the bootstrap functor base.
virtual	~BootstrapSamplerBase ()
	Destructor.
virtual void	operator() (size_t num_samp, Data &bootstrapped_sample)=0
	Generate and store a new bootstrapped sample into bootstrapped_sample.
virtual size_t	getDataSize ()
	Obatin the number of samples used in the empirical distribution.
virtual void	operator() (Data &bootstrapped_sample)
	Generate and store an dataSize out of dataSize bootstrap sample.
virtual Data	operator() ()
	Return bootstrapped sample.

Static Public Member Functions
static void	set_seed (size_t seed)

Protected Attributes
boost::random::uniform_int_distribution	sampler
	Uniform distribution to provide samples from the empirical distribution.
const size_t	dataSize
	Size of the dataset defining the empirical distribution.
Data	origData
	Original data defining the empirical distribution TODO: Consider if it should be const (breaks Teuchos)

Static Protected Attributes
static boost::random::mt19937	bootstrapRNG
	Random number generator to use for sampling. More...

Detailed Description

template<typename Data>
class Dakota::BootstrapSamplerBase< Data >

Base class/interface for the bootstrap sampler.

BootstrapSamplerBase defines the minimum interface for a bootstrap sampler and handles initialization of the random variate generation used by the bootstrap. Functor is templated on the data type, but does not actually define a data member.

Member Data Documentation

bootstrapRNG

boost::random::mt19937 bootstrapRNG

staticprotected

Random number generator to use for sampling.

The boostrap random number generator.

Referenced by BootstrapSampler< Data >::operator()(), BootstrapSamplerWithGS< Data, Getter, Setter >::operator()(), and BootstrapSampler< Teuchos::SerialDenseMatrix< OrdinalType, ScalarType > >::operator()().

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

• BootstrapSampler.hpp