Base class for all samplers. More...

#include <IMP/kernel/Sampler.h>

Inheritance diagram for IMP::kernel::Sampler:

Public Member Functions
	Sampler (kernel::Model *m, std::string name="Sampler %1%")

ConfigurationSet *	create_sample () const

Model *	get_model () const

ScoringFunction *	get_scoring_function () const

void	set_scoring_function (ScoringFunctionAdaptor sf)

Public Member Functions inherited from IMP::base::Object
virtual void	clear_caches ()

virtual void	do_destroy ()

CheckLevel	get_check_level () const

LogLevel	get_log_level () const

virtual VersionInfo	get_version_info () const
	Get information about the module and version of the object.

void	set_check_level (CheckLevel l)

void	set_log_level (LogLevel l)
	Set the logging level used in this object. More...

void	set_was_used (bool tf) const

void	show (std::ostream &out=std::cout) const

const std::string &	get_name () const

void	set_name (std::string name)

virtual std::string	get_type_name () const

Protected Member Functions
virtual ConfigurationSet *	do_sample () const =0

Protected Member Functions inherited from IMP::base::Object
	Object (std::string name)
	Construct an object with the given name. More...

Detailed Description

A sampler takes a Model and searches for good configurations, given the optimizeable parameters and the scoring function in the Model and extra information that can be provided. Typically, the current configuration of the model is ignore.

Typically a sampler works by using one or more Optimizer types to search for configurations which minimize the scoring function.

Definition at line 31 of file kernel/Sampler.h.

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

kernel/Sampler.h

Public Member Functions

Protected Member Functions

Detailed Description