Classias: A C++ template library for classification


Public Types
typedef error_tmpl	error_type
	The type implementing an error function.
typedef error_type::model_type	model_type
	The type implementing a model (weight vector for features).
typedef model_type::value_type	value_type
	The type representing a value.
typedef pegasos_base< error_tmpl >	base_class
	A synonym of the base class.
typedef pegasos_binary< error_tmpl >	this_class
	A synonym of this class.
Public Member Functions
template<class iterator_type, class feature_generator_type>
void	update (iterator_type it, feature_generator_type &fgen)
	Receives a training instance and updates feature weights.
template<class iterator_type>
void	update (iterator_type first, iterator_type last)
	Receives multiple training instances and updates feature weights.
Protected Member Functions
template<class feature_generator_type, class iterator_type>
void	update_weights (int l, feature_generator_type &fgen, iterator_type first, iterator_type last, value_type delta)
	Adds a value to weights associated with a feature vector.

Member Function Documentation

template<class error_tmpl>

template<class iterator_type, class feature_generator_type>

void classias::train::pegasos_multi< error_tmpl >::update	(	iterator_type	it,
		feature_generator_type &	fgen
	)			`[inline]`

Receives a training instance and updates feature weights.

Parameters:

	it	An interator for the training instance.
	fgen	The feature generator.

template<class error_tmpl>

template<class iterator_type>

void classias::train::pegasos_multi< error_tmpl >::update	(	iterator_type	first,
		iterator_type	last
	)			`[inline]`

Receives multiple training instances and updates feature weights.

Parameters:

	first	The iterator pointing to the first instance.
	last	The iterator pointing just beyond the last instance.

template<class error_tmpl>

template<class feature_generator_type, class iterator_type>

void classias::train::pegasos_multi< error_tmpl >::update_weights	(	int	l,
		feature_generator_type &	fgen,
		iterator_type	first,
		iterator_type	last,
		value_type	delta
	)			`[inline, protected]`

Adds a value to weights associated with a feature vector.

Parameters:

	l	The label or candidate index.
	fgen	The feature generator.
	first	The iterator pointing to the first element of the feature vector.
	last	The iterator pointing just beyond the last element of the feature vector.
	delta	The value to be added to the weights.

	error_tmpl	The type of the error (loss) function.
	model_tmpl	The type of a weight vector for features.

classias::train::pegasos_multi< error_tmpl > Class Template Reference