PLearn::HyperOptimizer Class Reference

#include <HyperOptimizer.h>

Inheritance diagram for PLearn::HyperOptimizer:

[legend]Collaboration diagram for PLearn::HyperOptimizer:

[legend]List of all members.

Public Member Functions
	HyperOptimizer ()
virtual void	optimize (PP< Learner > learner, const VMat &dataset, const HAliases &aliases)=0
	Optimize the learner with respect to the given hyperparameters and dataset.
	PLEARN_DECLARE_ABSTRACT_OBJECT (HyperOptimizer)
Static Public Member Functions
void	declareOptions (OptionList &ol)
	redefine this in subclasses: call declareOption(...) for each option, and then call inherited::declareOptions(options) ( see the declareOption function further down)
Public Attributes
PP< TestMethod >	objective
HStrategy	substrategy
Private Types
typedef Object	inherited

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Member Typedef Documentation

typedef Object PLearn::HyperOptimizer::inherited [private]

Reimplemented from PLearn::Object. Reimplemented in PLearn::HSetVal, PLearn::HTryAll, PLearn::HCoordinateDescent, and PLearn::HTryCombinations. Definition at line 64 of file HyperOptimizer.h.

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Constructor & Destructor Documentation

PLearn::HyperOptimizer::HyperOptimizer (   )  [inline]

Definition at line 66 of file HyperOptimizer.h.

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Member Function Documentation

void PLearn::HyperOptimizer::declareOptions (  OptionList &  ol  )  [static]

redefine this in subclasses: call declareOption(...) for each option, and then call inherited::declareOptions(options) ( see the declareOption function further down) ex: static void declareOptions(OptionList& ol) { declareOption(ol, "inputsize", &MyObject::inputsize_, OptionBase::buildoption, "the size of the input\n it must be provided"); declareOption(ol, "weights", &MyObject::weights, OptionBase::learntoption, "the learnt model weights"); inherited::declareOptions(ol); } Reimplemented from PLearn::Object. Reimplemented in PLearn::HSetVal, PLearn::HTryAll, PLearn::HCoordinateDescent, and PLearn::HTryCombinations. Definition at line 52 of file HyperOptimizer.cc. References PLearn::declareOption(), and PLearn::OptionList.

virtual void PLearn::HyperOptimizer::optimize (  PP< Learner >  learner, const VMat &  dataset, const HAliases &  aliases )  [pure virtual]

Optimize the learner with respect to the given hyperparameters and dataset. Implemented in PLearn::HSetVal, PLearn::HTryAll, PLearn::HCoordinateDescent, and PLearn::HTryCombinations.

PLearn::HyperOptimizer::PLEARN_DECLARE_ABSTRACT_OBJECT (  HyperOptimizer   )

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Member Data Documentation

PP<TestMethod> PLearn::HyperOptimizer::objective

Definition at line 73 of file HyperOptimizer.h.

HStrategy PLearn::HyperOptimizer::substrategy

Definition at line 74 of file HyperOptimizer.h.

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

• HyperOptimizer.h
• HyperOptimizer.cc

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