ebl::scaler_answer< T, Tds1, Tds2, Tstate > Class Template Reference

#include <ebl_answer.h>

Inheritance diagram for ebl::scaler_answer< T, Tds1, Tds2, Tstate >:

List of all members.

Public Member Functions
	scaler_answer (uint negative_id_, uint positive_id_, bool raw_confidence=false, float threshold=0.0, bool spatial=false, const char *name="scaler_answer")
virtual void	fprop (Tstate &in, Tstate &out)
virtual void	fprop (labeled_datasource< T, Tds1, Tds2 > &ds, Tstate &out)
virtual std::string	describe ()
	Returns a string describing this module and its parameters.
Protected Attributes
uint	negative_id
	The id of the negative class.
uint	positive_id
	The id of the positive class.
bool	raw_confidence
	Use raw output as confidence or not.
bbstate_idx< T >	jitter
	A temp buffer to extract jitter info to.
T	threshold
	Threshold used for classifying into pos/neg class.
bool	spatial
	If true, use spatial jitter as well.
uint	jsize
	Number of jitter elements used.

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Detailed Description

template<typename T, typename Tds1 = T, typename Tds2 = T, class Tstate = bbstate_idx<T>>
class ebl::scaler_answer< T, Tds1, Tds2, Tstate >

This module produces binary-class answers and a scale estimate for the positive class. It also produces a target value for training given a datasource 'ds'.

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Constructor & Destructor Documentation

template<typename T , typename Tds1 , typename Tds2 , class Tstate >

ebl::scaler_answer< T, Tds1, Tds2, Tstate >::scaler_answer	(	uint	negative_id_,
		uint	positive_id_,
		bool	raw_confidence = false,
		float	threshold = 0.0,
		bool	spatial = false,
		const char *	name = "scaler_answer< T, Tds1, Tds2, Tstate >"
	)

Parameters:

negative_id	The id of the negative class.
positive_id	The id of the positive class.
raw_confidence	If true, the confidence is just the net output.
threshold	Classification threshold.
spatial	If true, use spatial jitter as well.

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Member Function Documentation

template<typename T , typename Tds1 , typename Tds2 , class Tstate >

void ebl::scaler_answer< T, Tds1, Tds2, Tstate >::fprop	(	Tstate &	in,
		Tstate &	out
	)		[virtual]

Produce a vector of answers given input 'in'. 'out' contains answers in this order: class id, confidence and scale.

Reimplemented from ebl::answer_module< T, Tds1, Tds2, Tstate >.

template<typename T , typename Tds1 , typename Tds2 , class Tstate >

void ebl::scaler_answer< T, Tds1, Tds2, Tstate >::fprop	(	labeled_datasource< T, Tds1, Tds2 > &	ds,
		Tstate &	out
	)		[virtual]

Copy a single target value into 'out' given datasource 'ds'. If negative class, target value is 0, the scale otherwise.

Reimplemented from ebl::answer_module< T, Tds1, Tds2, Tstate >.

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

• /home/rex/ebltrunk/core/libeblearn/include/ebl_answer.h
• /home/rex/ebltrunk/core/libeblearn/include/ebl_answer.hpp