#include <InputLearningFeaturePlane.h>

Inheritance diagram for InputLearningFeaturePlane:

Public Member Functions
	~InputLearningFeaturePlane ()
OutputImage *	getCurrentOutput ()
OutputImage *	getCurrentOutput (int index)
OutputImage **	getCurrentOutputs ()
void	inhibitReturn ()
bool	isSameAsLast ()
	Is the input the same as at the last step?
Protected Member Functions
	InputLearningFeaturePlane (Network net, int l, char filename, QString name, bool isWTA, bool visible, bool scale, bool noise, float min, float max, NotifyStrategyAbstract notify, int maxSteps, int levels)
Protected Attributes
char *	mask_filename
bool	input_scale
float	input_min
float	input_max
int	window
bool	noise
Friends
class	FeaturePlaneFactory

Detailed Description

Loads a dataset and offers it as output sequentially.

Constructor & Destructor Documentation

InputLearningFeaturePlane::~InputLearningFeaturePlane ( )

InputLearningFeaturePlane::InputLearningFeaturePlane	(	Network *	net,
		int	l,
		char *	filename,
		QString *	name,
		bool	isWTA,
		bool	visible,
		bool	scale,
		bool	noise,
		float	min,
		float	max,
		NotifyStrategyAbstract *	notify,
		int	maxSteps,
		int	levels
	)		`[protected]`

Load the specified file

Parameters:

net	- network that the FP belongs to
filename	- base name of dataset
name	- name of the feature plane
visible	- should the FP be presented in the UI
scale	- to scale or not to scale, this is the question
min	- scale currentOutput to the min - max range
max
notify	- notification strategy

Member Function Documentation

OutputImage * InputLearningFeaturePlane::getCurrentOutput ( ) [virtual]

Current output

Reimplemented from FeaturePlaneAbstract.

OutputImage * InputLearningFeaturePlane::getCurrentOutput ( int index ) [virtual]

Returns the feature plane's latest output, with an index for multi-output FPs. Overloaded in InputControllerAbstract and InputFeaturePlane where we can get RGB independently.

Reimplemented from FeaturePlaneAbstract.

OutputImage ** InputLearningFeaturePlane::getCurrentOutputs ( )

Array with sequence of outputs

void InputLearningFeaturePlane::inhibitReturn ( ) [virtual]

Reimplemented from InputFeaturePlaneAbstract.

bool InputLearningFeaturePlane::isSameAsLast ( )

Is the input the same as at the last step?