lti::hmmClassifier::parameters Class Reference

the parameters for the class hmmClassifier More...

#include <ltiHmmClassifier.h>

Inheritance diagram for lti::hmmClassifier::parameters:

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Collaboration diagram for lti::hmmClassifier::parameters:

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List of all members.

Public Types
enum	mappingType { exponential, linear, none }
Public Member Functions
	parameters ()
	parameters (const parameters &other)
virtual	~parameters ()
const char *	getTypeName () const
parameters &	copy (const parameters &other)
parameters &	operator= (const parameters &other)
virtual classifier::parameters *	clone () const
virtual bool	write (ioHandler &handler, const bool complete=true) const
virtual bool	read (ioHandler &handler, const bool complete=true)
Public Attributes
hmmTrainer::parameters	hmmTrainingParameters
hiddenMarkovModel	defaultModel
mappingType	mappingFunction

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Detailed Description

the parameters for the class hmmClassifier

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Member Enumeration Documentation

enum lti::hmmClassifier::parameters::mappingType

Mapping type used for scores.

Currently exponential, linear and none are available.

exponential

linear

none

Enumerator:

exponential	choose exponential mapping
linear	choose linear mapping
none	choose no mapping

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Constructor & Destructor Documentation

lti::hmmClassifier::parameters::parameters

(

)

default constructor

Reimplemented from lti::classifier::parameters.

Reimplemented in lti::hmmOnlineClassifier::parameters.

lti::hmmClassifier::parameters::parameters

(

const parameters &

other

)

copy constructor

Parameters:

other

the parameters object to be copied

Reimplemented in lti::hmmOnlineClassifier::parameters.

virtual lti::hmmClassifier::parameters::~parameters

(

)

[virtual]

destructor

Reimplemented from lti::classifier::parameters.

Reimplemented in lti::hmmOnlineClassifier::parameters.

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Member Function Documentation

virtual classifier::parameters* lti::hmmClassifier::parameters::clone

(

)

const [virtual]

returns a pointer to a clone of the parameters

Reimplemented from lti::classifier::parameters.

Reimplemented in lti::hmmOnlineClassifier::parameters.

parameters& lti::hmmClassifier::parameters::copy

(

const parameters &

other

)

copy the contents of a parameters object

Parameters:

other

the parameters object to be copied

Returns:

a reference to this parameters object

Reimplemented in lti::hmmOnlineClassifier::parameters.

const char* lti::hmmClassifier::parameters::getTypeName

(

)

const [virtual]

returns name of this type

Reimplemented from lti::classifier::parameters.

Reimplemented in lti::hmmOnlineClassifier::parameters.

parameters& lti::hmmClassifier::parameters::operator=

(

const parameters &

other

)

copy the contents of a parameters object

Parameters:

other

the parameters object to be copied

Returns:

a reference to this parameters object

Reimplemented in lti::hmmOnlineClassifier::parameters.

virtual bool lti::hmmClassifier::parameters::read	(	ioHandler &	handler,
		const bool	complete = true
	)			[virtual]

read the parameters from the given ioHandler

Parameters:

	handler	the ioHandler to be used
	complete	if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written.

Returns:

true if write was successful

Reimplemented from lti::classifier::parameters.

Reimplemented in lti::hmmOnlineClassifier::parameters.

virtual bool lti::hmmClassifier::parameters::write	(	ioHandler &	handler,
		const bool	complete = true
	)			const [virtual]

write the parameters in the given ioHandler

Parameters:

	handler	the ioHandler to be used
	complete	if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written.

Returns:

true if write was successful

Reimplemented from lti::classifier::parameters.

Reimplemented in lti::hmmOnlineClassifier::parameters.

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Member Data Documentation

hiddenMarkovModel lti::hmmClassifier::parameters::defaultModel

Default hidden markov model used for the training process.

This can be useful for modifying attributes such as emissionScoreWeight. Changing these parameters only affects the following training processes, existing models are left untouched.

hmmTrainer::parameters lti::hmmClassifier::parameters::hmmTrainingParameters

Parameters used for the training process.

Changing these parameters only affects the following training processes.

mappingType lti::hmmClassifier::parameters::mappingFunction

Specifies the mapping function to be used.

default: exponentialMapping

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

• ltiHmmClassifier.h