GestureRecognitionToolkit  Version: 0.2.5
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
Public Member Functions | Static Public Member Functions | Protected Attributes | List of all members
LeakyIntegrator Class Reference

The LeakyIntegrator class computes the following signal: y = y*z + x, where x is the input, y is the output and z is the leakrate. More...

#include <LeakyIntegrator.h>

Inheritance diagram for LeakyIntegrator:
PreProcessing MLBase GRTBase Observer< TrainingResult > Observer< TestInstanceResult >

Public Member Functions

 LeakyIntegrator (const Float leakRate=0.99, const UINT numDimensions=1)
 
 LeakyIntegrator (const LeakyIntegrator &rhs)
 
virtual ~LeakyIntegrator ()
 
LeakyIntegrator & operator= (const LeakyIntegrator &rhs)
 
virtual bool deepCopyFrom (const PreProcessing *preProcessing)
 
virtual bool process (const VectorFloat &inputVector)
 
virtual bool reset ()
 
virtual bool save (std::fstream &file) const
 
virtual bool load (std::fstream &file)
 
bool init (const Float leakRate, const UINT numDimensions)
 
Float update (const Float x)
 
VectorFloat update (const VectorFloat &x)
 
bool setLeakRate (const Float leakRate)
 
Float getLeakRate () const
 
- Public Member Functions inherited from PreProcessing
 PreProcessing (const std::string &id="")
 
virtual ~PreProcessing (void)
 
bool copyBaseVariables (const PreProcessing *preProcessingModule)
 
virtual bool clear () override
 
bool getInitialized () const
 
VectorFloat getProcessedData () const
 
PreProcessing * create () const
 
 GRT_DEPRECATED_MSG ("createNewInstance is deprecated, use create() instead.", PreProcessing *createNewInstance() const )
 
 GRT_DEPRECATED_MSG ("createInstanceFromString(id) is deprecated, use create(id) instead.", static PreProcessing *createInstanceFromString(const std::string &id))
 
 GRT_DEPRECATED_MSG ("getPreProcessingType is deprecated, use getId() instead", std::string getPreProcessingType() const )
 
- Public Member Functions inherited from MLBase
 MLBase (const std::string &id="", const BaseType type=BASE_TYPE_NOT_SET)
 
virtual ~MLBase (void)
 
bool copyMLBaseVariables (const MLBase *mlBase)
 
virtual bool train (ClassificationData trainingData)
 
virtual bool train_ (ClassificationData &trainingData)
 
virtual bool train (RegressionData trainingData)
 
virtual bool train_ (RegressionData &trainingData)
 
virtual bool train (RegressionData trainingData, RegressionData validationData)
 
virtual bool train_ (RegressionData &trainingData, RegressionData &validationData)
 
virtual bool train (TimeSeriesClassificationData trainingData)
 
virtual bool train_ (TimeSeriesClassificationData &trainingData)
 
virtual bool train (ClassificationDataStream trainingData)
 
virtual bool train_ (ClassificationDataStream &trainingData)
 
virtual bool train (UnlabelledData trainingData)
 
virtual bool train_ (UnlabelledData &trainingData)
 
virtual bool train (MatrixFloat data)
 
virtual bool train_ (MatrixFloat &data)
 
virtual bool predict (VectorFloat inputVector)
 
virtual bool predict_ (VectorFloat &inputVector)
 
virtual bool predict (MatrixFloat inputMatrix)
 
virtual bool predict_ (MatrixFloat &inputMatrix)
 
virtual bool map (VectorFloat inputVector)
 
virtual bool map_ (VectorFloat &inputVector)
 
virtual bool print () const
 
virtual bool save (const std::string &filename) const
 
virtual bool load (const std::string &filename)
 
 GRT_DEPRECATED_MSG ("saveModelToFile(std::string filename) is deprecated, use save(const std::string &filename) instead", virtual bool saveModelToFile(const std::string &filename) const )
 
 GRT_DEPRECATED_MSG ("saveModelToFile(std::fstream &file) is deprecated, use save(std::fstream &file) instead", virtual bool saveModelToFile(std::fstream &file) const )
 
 GRT_DEPRECATED_MSG ("loadModelFromFile(std::string filename) is deprecated, use load(const std::string &filename) instead", virtual bool loadModelFromFile(const std::string &filename))
 
 GRT_DEPRECATED_MSG ("loadModelFromFile(std::fstream &file) is deprecated, use load(std::fstream &file) instead", virtual bool loadModelFromFile(std::fstream &file))
 
virtual bool getModel (std::ostream &stream) const
 
virtual std::string getModelAsString () const
 
DataType getInputType () const
 
DataType getOutputType () const
 
BaseType getType () const
 
UINT getNumInputFeatures () const
 
UINT getNumInputDimensions () const
 
UINT getNumOutputDimensions () const
 
UINT getMinNumEpochs () const
 
UINT getMaxNumEpochs () const
 
UINT getBatchSize () const
 
UINT getNumRestarts () const
 
UINT getValidationSetSize () const
 
UINT getNumTrainingIterationsToConverge () const
 
Float getMinChange () const
 
Float getLearningRate () const
 
Float getRMSTrainingError () const
 
 GRT_DEPRECATED_MSG ("getRootMeanSquaredTrainingError() is deprecated, use getRMSTrainingError() instead", Float getRootMeanSquaredTrainingError() const )
 
Float getTotalSquaredTrainingError () const
 
Float getRMSValidationError () const
 
Float getValidationSetAccuracy () const
 
VectorFloat getValidationSetPrecision () const
 
VectorFloat getValidationSetRecall () const
 
bool getUseValidationSet () const
 
bool getRandomiseTrainingOrder () const
 
bool getTrained () const
 
 GRT_DEPRECATED_MSG ("getModelTrained() is deprecated, use getTrained() instead", bool getModelTrained() const )
 
bool getConverged () const
 
bool getScalingEnabled () const
 
bool getIsBaseTypeClassifier () const
 
bool getIsBaseTypeRegressifier () const
 
bool getIsBaseTypeClusterer () const
 
bool getTrainingLoggingEnabled () const
 
bool getTestingLoggingEnabled () const
 
bool enableScaling (const bool useScaling)
 
bool setMaxNumEpochs (const UINT maxNumEpochs)
 
bool setBatchSize (const UINT batchSize)
 
bool setMinNumEpochs (const UINT minNumEpochs)
 
bool setNumRestarts (const UINT numRestarts)
 
bool setMinChange (const Float minChange)
 
bool setLearningRate (const Float learningRate)
 
bool setUseValidationSet (const bool useValidationSet)
 
bool setValidationSetSize (const UINT validationSetSize)
 
bool setRandomiseTrainingOrder (const bool randomiseTrainingOrder)
 
bool setTrainingLoggingEnabled (const bool loggingEnabled)
 
bool setTestingLoggingEnabled (const bool loggingEnabled)
 
bool registerTrainingResultsObserver (Observer< TrainingResult > &observer)
 
bool registerTestResultsObserver (Observer< TestInstanceResult > &observer)
 
bool removeTrainingResultsObserver (const Observer< TrainingResult > &observer)
 
bool removeTestResultsObserver (const Observer< TestInstanceResult > &observer)
 
bool removeAllTrainingObservers ()
 
bool removeAllTestObservers ()
 
bool notifyTrainingResultsObservers (const TrainingResult &data)
 
bool notifyTestResultsObservers (const TestInstanceResult &data)
 
MLBase * getMLBasePointer ()
 
const MLBase * getMLBasePointer () const
 
Vector< TrainingResult > getTrainingResults () const
 
- Public Member Functions inherited from GRTBase
 GRTBase (const std::string &id="")
 
virtual ~GRTBase (void)
 
bool copyGRTBaseVariables (const GRTBase *GRTBase)
 
 GRT_DEPRECATED_MSG ("getClassType is deprecated, use getId() instead!", std::string getClassType() const )
 
std::string getId () const
 
std::string getLastWarningMessage () const
 
std::string getLastErrorMessage () const
 
std::string getLastInfoMessage () const
 
bool setInfoLoggingEnabled (const bool loggingEnabled)
 
bool setWarningLoggingEnabled (const bool loggingEnabled)
 
bool setErrorLoggingEnabled (const bool loggingEnabled)
 
bool setDebugLoggingEnabled (const bool loggingEnabled)
 
GRTBase * getGRTBasePointer ()
 
const GRTBase * getGRTBasePointer () const
 
Float scale (const Float &x, const Float &minSource, const Float &maxSource, const Float &minTarget, const Float &maxTarget, const bool constrain=false)
 
Float SQR (const Float &x) const
 
- Public Member Functions inherited from Observer< TrainingResult >
virtual void notify (const TrainingResult &data)
 
- Public Member Functions inherited from Observer< TestInstanceResult >
virtual void notify (const TestInstanceResult &data)
 

Static Public Member Functions

static std::string getId ()
 
- Static Public Member Functions inherited from PreProcessing
static PreProcessing * create (const std::string &id)
 
- Static Public Member Functions inherited from GRTBase
static std::string getGRTVersion (bool returnRevision=true)
 
static std::string getGRTRevison ()
 

Protected Attributes

Float leakRate
 The current leak rate.
 
VectorFloat y
 A buffer holding the previous input value(s)
 
- Protected Attributes inherited from PreProcessing
std::string preProcessingType
 
bool initialized
 
VectorFloat processedData
 
- Protected Attributes inherited from MLBase
bool trained
 
bool useScaling
 
bool converged
 
DataType inputType
 
DataType outputType
 
BaseType baseType
 
UINT numInputDimensions
 
UINT numOutputDimensions
 
UINT numTrainingIterationsToConverge
 
UINT minNumEpochs
 
UINT maxNumEpochs
 
UINT batchSize
 
UINT validationSetSize
 
UINT numRestarts
 
Float learningRate
 
Float minChange
 
Float rmsTrainingError
 
Float rmsValidationError
 
Float totalSquaredTrainingError
 
Float validationSetAccuracy
 
bool useValidationSet
 
bool randomiseTrainingOrder
 
VectorFloat validationSetPrecision
 
VectorFloat validationSetRecall
 
Random random
 
Vector< TrainingResult > trainingResults
 
TrainingResultsObserverManager trainingResultsObserverManager
 
TestResultsObserverManager testResultsObserverManager
 
TrainingLog trainingLog
 
TestingLog testingLog
 
- Protected Attributes inherited from GRTBase
std::string classId
 Stores the name of the class (e.g., MinDist)
 
DebugLog debugLog
 
ErrorLog errorLog
 
InfoLog infoLog
 
WarningLog warningLog
 

Additional Inherited Members

- Public Types inherited from PreProcessing
typedef std::map< std::string, PreProcessing *(*)() > StringPreProcessingMap
 
- Public Types inherited from MLBase
enum  BaseType {
  BASE_TYPE_NOT_SET =0, CLASSIFIER, REGRESSIFIER, CLUSTERER,
  PRE_PROCSSING, POST_PROCESSING, FEATURE_EXTRACTION, CONTEXT
}
 
- Protected Member Functions inherited from PreProcessing
bool init ()
 
bool savePreProcessingSettingsToFile (std::fstream &file) const
 
bool loadPreProcessingSettingsFromFile (std::fstream &file)
 
- Protected Member Functions inherited from MLBase
bool saveBaseSettingsToFile (std::fstream &file) const
 
bool loadBaseSettingsFromFile (std::fstream &file)
 
- Static Protected Member Functions inherited from PreProcessing
static StringPreProcessingMap * getMap ()
 

Detailed Description

The LeakyIntegrator class computes the following signal: y = y*z + x, where x is the input, y is the output and z is the leakrate.

GRT MIT License Copyright (c) <2012> <Nicholas Gillian, Media Lab, MIT>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Definition at line 37 of file LeakyIntegrator.h.

Constructor & Destructor Documentation

LeakyIntegrator::LeakyIntegrator ( const Float  leakRate = 0.99,
const UINT  numDimensions = 1 
)

Constructor, sets the leak rate and the dimensionality of the input data.

Parameters
leakRatesets the leak rate of the filter, this should be in the range [0 1]. Default delta = 0.99
numDimensionsthe dimensionality of the input data. Default numDimensions = 1

Definition at line 33 of file LeakyIntegrator.cpp.

LeakyIntegrator::LeakyIntegrator ( const LeakyIntegrator &  rhs)

Copy Constructor, copies the LeakyIntegrator from the rhs instance to this instance

Parameters
rhsanother instance of the LeakyIntegrator class from which the data will be copied to this instance

Definition at line 38 of file LeakyIntegrator.cpp.

LeakyIntegrator::~LeakyIntegrator ( )
virtual

Default Destructor

Definition at line 43 of file LeakyIntegrator.cpp.

Member Function Documentation

bool LeakyIntegrator::deepCopyFrom ( const PreProcessing *  preProcessing)
virtual

Sets the PreProcessing deepCopyFrom function, overwriting the base PreProcessing function. This function is used to clone the values from the input pointer to this instance of the PreProcessing module. This function is called by the GestureRecognitionPipeline when the user adds a new PreProcessing module to the pipeline.

Parameters
preProcessinga pointer to another instance of a LeakyIntegrator, the values of that instance will be cloned to this instance
Returns
true if the deep copy was successful, false otherwise

Reimplemented from PreProcessing.

Definition at line 56 of file LeakyIntegrator.cpp.

std::string LeakyIntegrator::getId ( )
static

Gets a string that represents the ID of this class.

Returns
returns a string containing the ID of this class

Definition at line 28 of file LeakyIntegrator.cpp.

Float LeakyIntegrator::getLeakRate ( ) const

Gets the leak rate.

Returns
returns the current leak rate

Definition at line 222 of file LeakyIntegrator.cpp.

bool LeakyIntegrator::init ( const Float  leakRate,
const UINT  numDimensions 
)

Initializes the instance, sets the leak rate and the dimensionality of the input data.

Parameters
leakRatesets the leak rate of the filter, this should be in the range [0 1]. Default delta = 0.99
numDimensionsthe dimensionality of the input data. Default numDimensions = 1
Returns
true if the instance was initiliazed, false otherwise

Definition at line 153 of file LeakyIntegrator.cpp.

bool LeakyIntegrator::load ( std::fstream &  file)
virtual

This loads the LeakyIntegrator settings from a file. This overrides the load function in the PreProcessing base class.

Parameters
filea reference to the file to load the settings from
Returns
returns true if the model was loaded successfully, false otherwise

Reimplemented from MLBase.

Definition at line 119 of file LeakyIntegrator.cpp.

LeakyIntegrator & LeakyIntegrator::operator= ( const LeakyIntegrator &  rhs)

Sets the equals operator, copies the data from the rhs instance to this instance

Parameters
rhsanother instance of the LeakyIntegrator class from which the data will be copied to this instance
Returns
a reference to this instance of LeakyIntegrator

Definition at line 47 of file LeakyIntegrator.cpp.

bool LeakyIntegrator::process ( const VectorFloat &  inputVector)
virtual

Sets the PreProcessing process function, overwriting the base PreProcessing function. This function is called by the GestureRecognitionPipeline when any new input data needs to be processed (during the prediction phase for example). This function calls the LeakyIntegrator's computeLeakyIntegrator function.

Parameters
inputVectorthe inputVector that should be processed. Must have the same dimensionality as the PreProcessing module
Returns
true if the data was processed, false otherwise

Reimplemented from PreProcessing.

Definition at line 77 of file LeakyIntegrator.cpp.

bool LeakyIntegrator::reset ( )
virtual

Sets the PreProcessing reset function, overwriting the base PreProcessing function. This function is called by the GestureRecognitionPipeline when the pipelines main reset() function is called. This function resets the LeakyIntegrator values by re-initiliazing the filter.

Returns
true if the LeakyIntegrator was reset, false otherwise

Reimplemented from PreProcessing.

Definition at line 95 of file LeakyIntegrator.cpp.

bool LeakyIntegrator::save ( std::fstream &  file) const
virtual

This saves the current settings of the LeakyIntegrator to a file. This overrides the save function in the PreProcessing base class.

Parameters
filea reference to the file the settings will be saved to
Returns
returns true if the settings were saved successfully, false otherwise

Reimplemented from MLBase.

Definition at line 100 of file LeakyIntegrator.cpp.

bool LeakyIntegrator::setLeakRate ( const Float  leakRate)

Sets the leak rate. This should be in the range [0 1]. Setting delta will re-initialize this instance.

Parameters
leakRatethe new leak rate value
Returns
returns true if delta was set, false otherwise

Definition at line 212 of file LeakyIntegrator.cpp.

Float LeakyIntegrator::update ( const Float  x)

Computes the LeakyIntegrator of the input, this should only be called if the dimensionality of the instance was set to 1.

Parameters
xthe value to compute the LeakyIntegrator of, this should only be called if the dimensionality of the filter was set to 1
Returns
the LeakyIntegrator of the input. Zero will be returned if the value was not computed

Definition at line 178 of file LeakyIntegrator.cpp.

VectorFloat LeakyIntegrator::update ( const VectorFloat &  x)

Computes the LeakyIntegrator of the input, the dimensionality of the input should match the number of inputs for the LeakyIntegrator

Parameters
xthe values to compute the LeakyIntegrator of, the dimensionality of the input should match the number of inputs for the LeakyIntegrator
Returns
the LeakyIntegrators of the input. An empty vector will be returned if the values were not filtered

Definition at line 192 of file LeakyIntegrator.cpp.

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