PLearn::HCoordinateDescent Class Reference

#include <HyperOptimizer.h>

Inheritance diagram for PLearn::HCoordinateDescent:

[legend]Collaboration diagram for PLearn::HCoordinateDescent:

[legend]List of all members.

Public Member Functions
	HCoordinateDescent ()
virtual void	optimize (PP< Learner > learner, const VMat &dataset, const HAliases &aliases)
	Optimize the learner with respect to the given hyperparameters and dataset.
	PLEARN_DECLARE_OBJECT (HCoordinateDescent)
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)
Protected Attributes
int	max_iterations
HStrategy	substragegy
Private Types
typedef HyperOptimizer	inherited

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Member Typedef Documentation

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

Reimplemented from PLearn::HyperOptimizer. Definition at line 140 of file HyperOptimizer.h.

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Constructor & Destructor Documentation

PLearn::HCoordinateDescent::HCoordinateDescent (   )  [inline]

Definition at line 142 of file HyperOptimizer.h. References max_iterations.

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Member Function Documentation

void PLearn::HCoordinateDescent::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::HyperOptimizer. Definition at line 117 of file HyperOptimizer.cc. References PLearn::declareOption(), and PLearn::OptionList.

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

Optimize the learner with respect to the given hyperparameters and dataset. Implements PLearn::HyperOptimizer. Definition at line 127 of file HyperOptimizer.cc. References PLearn::HAliases, max_iterations, and PLearn::TVec< T >::size().

PLearn::HCoordinateDescent::PLEARN_DECLARE_OBJECT (  HCoordinateDescent   )

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Member Data Documentation

int PLearn::HCoordinateDescent::max_iterations [protected]

Definition at line 151 of file HyperOptimizer.h. Referenced by HCoordinateDescent(), and optimize().

HStrategy PLearn::HCoordinateDescent::substragegy [protected]

Definition at line 152 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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