GClasses

GClasses::GRecurrentModel Member List

This is the complete list of members for GClasses::GRecurrentModel, including all inherited members.
baseDomNode(GDom *pDoc, const char *szClassName)GClasses::GSystemLearner [protected]
blurImageVector(const double *pIn, double *pOut, int wid, int hgt, int chan, double valueRange, int radius, int iters)GClasses::GRecurrentModel [static]
calibrate(const double *pObs)GClasses::GRecurrentModel [virtual]
context()GClasses::GRecurrentModel [inline]
contextDims()GClasses::GRecurrentModel [inline]
doAction(const double *pAction)GClasses::GRecurrentModel [virtual]
frames(GMatrix *pDataAction, GMatrix *pDataObs, bool calibrateContext, unsigned int frameWidth, int stepsPerImage, double scalePredictions)GClasses::GRecurrentModel
GRecurrentModel(GSupervisedLearner *pTransition, GSupervisedLearner *pObservation, size_t actionDims, size_t contextDims, size_t obsDims, GRand *pRand, std::vector< size_t > *pParamDims=NULL)GClasses::GRecurrentModel
GRecurrentModel(GDomNode *pNode, GRand *pRand)GClasses::GRecurrentModel
GSystemLearner()GClasses::GSystemLearner [inline]
GSystemLearner(GDomNode *pNode)GClasses::GSystemLearner [inline]
joshuaEstimateState(GMatrix *pActions, GMatrix *pObservations)GClasses::GRecurrentModel [protected]
m_actionDimsGClasses::GRecurrentModel [protected]
m_channelsGClasses::GRecurrentModel [protected]
m_contextDimsGClasses::GRecurrentModel [protected]
m_multiplierGClasses::GRecurrentModel [protected]
m_obsDimsGClasses::GRecurrentModel [protected]
m_paramDimsGClasses::GRecurrentModel [protected]
m_pBufGClasses::GRecurrentModel [protected]
m_pContextGClasses::GRecurrentModel [protected]
m_pixelsGClasses::GRecurrentModel [protected]
m_pObservationFuncGClasses::GRecurrentModel [protected]
m_pParamRangesGClasses::GRecurrentModel [protected]
m_pParamsGClasses::GRecurrentModel [protected]
m_pRandGClasses::GRecurrentModel [protected]
m_pTransitionFuncGClasses::GRecurrentModel [protected]
m_pValidationDataGClasses::GRecurrentModel [protected]
m_trainingSecondsGClasses::GRecurrentModel [protected]
m_transitionDeltaGClasses::GRecurrentModel [protected]
m_useIsomapGClasses::GRecurrentModel [protected]
m_validationIntervalGClasses::GRecurrentModel [protected]
mosesEstimateState(GMatrix *pActions, GMatrix *pObservations)GClasses::GRecurrentModel [protected]
obsDims()GClasses::GRecurrentModel [inline]
observationFunc()GClasses::GRecurrentModel [inline]
onFinishedComputingStateEstimate(GMatrix *pStateEstimate)GClasses::GRecurrentModel [inline, virtual]
onObtainValidationScore(size_t timeSlice, double seconds, double squaredError)GClasses::GRecurrentModel [inline, virtual]
paramDims()GClasses::GRecurrentModel [inline]
paramRanges()GClasses::GRecurrentModel [inline]
params()GClasses::GRecurrentModel [inline]
predict(double *pObs)GClasses::GRecurrentModel [virtual]
predictPixel(const double *pParams, double *pObs)GClasses::GRecurrentModel
prepareForOptimization(GMatrix *pActions, GMatrix *pObservations)GClasses::GRecurrentModel [protected]
quickValidate(GMatrix *pDataAction, GMatrix *pDataObs, size_t pixelSamples, double *paramArray, bool monotonic)GClasses::GRecurrentModel
serialize(GDom *pDoc)GClasses::GRecurrentModel [virtual]
setTrainingSeconds(double d)GClasses::GRecurrentModel [inline]
setUseIsomap(bool b)GClasses::GRecurrentModel [inline]
trainAaron(GMatrix *pActions, GMatrix *pObservations)GClasses::GRecurrentModel
trainBackPropThroughTime(GMatrix *pActions, GMatrix *pObservations, size_t depth, size_t itersPerSeqLen)GClasses::GRecurrentModel
trainEvolutionary(GMatrix *pActions, GMatrix *pObservations)GClasses::GRecurrentModel
trainHillClimber(GMatrix *pActions, GMatrix *pObservations, double dev, double decay, double seconds, bool climb, bool anneal)GClasses::GRecurrentModel
trainJoshua(GMatrix *pActions, GMatrix *pObservations)GClasses::GRecurrentModel
trainMoses(GMatrix *pActions, GMatrix *pObservations)GClasses::GRecurrentModel
trainObservationFunction(GMatrix *pEstState, GMatrix *pObservations)GClasses::GRecurrentModel [protected]
trainObservationFunctionIteratively(double dStart, GMatrix *pEstState, GMatrix *pObservations)GClasses::GRecurrentModel [protected]
trainTransitionFunction(GMatrix *pActions, GMatrix *pEstState)GClasses::GRecurrentModel [protected]
transitionFunc()GClasses::GRecurrentModel [inline]
validate(std::vector< GMatrix * > &validationData, bool calibrateContext, bool monotonic, double multiplier)GClasses::GRecurrentModel
validateDuringTraining(double timeInterval, std::vector< GMatrix * > *pValidationData)GClasses::GRecurrentModel
~GRecurrentModel()GClasses::GRecurrentModel [virtual]
~GSystemLearner()GClasses::GSystemLearner [inline, virtual]