NeuralEngine
A Game Engine with embeded Machine Learning algorithms based on Gaussian Processes.
NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar > Member List

This is the complete list of members for NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >, including all inherited members.

AddData(const af::array Ytrain)NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >virtual
AddWindowData(af::array data) (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >virtual
afBiasNeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >protected
afDynIndexes (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afFactorX1NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afFactorX2NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afGradMeanNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afGradMeanCavNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afGradVarianceNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afGradVarianceCavNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afIndexesNeuralEngine::MachineLearning::IModel< Scalar >protected
afLatentGradientXNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afPosteriorX1NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afPosteriorX2NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afPriorMeanNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afPriorMeanCavNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afPriorVarianceNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afPriorVarianceCavNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afPriorX1NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afPriorX1CavNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afPriorX2NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afPriorX2CavNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afSegmentsNeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >protected
afXControl (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
afYNeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >protected
AttachChild(std::shared_ptr< GPNode< Scalar > > const &child)NeuralEngine::MachineLearning::GPNode< Scalar >
bControlToEmiss (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
bGPemission (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
bInitNeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >protected
boost::serialization::access (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >friend
DetachAllChildren()NeuralEngine::MachineLearning::GPNode< Scalar >
DetachChild(std::shared_ptr< GPNode< Scalar > > const &child)NeuralEngine::MachineLearning::GPNode< Scalar >
DetachChildAt(int i)NeuralEngine::MachineLearning::GPNode< Scalar >
dPriorMeanNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
dPriorVarianceNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
dPriorX1NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
dPriorX2NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
dSn (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
eEmMethod (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
FixLikelihoodParameters(bool isfixed)NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >virtual
Function(const af::array &x, af::array &outGradient)NeuralEngine::MachineLearning::IModel< Scalar >virtual
GetBatchSize()NeuralEngine::MachineLearning::IModel< Scalar >
GetChild(int i)NeuralEngine::MachineLearning::GPNode< Scalar >
GetDataDimensionality()NeuralEngine::MachineLearning::IModel< Scalar >
GetDataLenght()NeuralEngine::MachineLearning::IModel< Scalar >
GetLatents(af::array &mx, af::array &vx) (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >
GetModelType()NeuralEngine::MachineLearning::IModel< Scalar >
GetNumChildren() constNeuralEngine::MachineLearning::GPNode< Scalar >
GetNumParameters() overrideNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >virtual
GetParameters() overrideNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >virtual
GetParent()NeuralEngine::MachineLearning::GPNode< Scalar >
GetSegments()NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >
GetTrainingData()NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >
GPBaseModel(const af::array &Y, LogLikType lType=LogLikType::Gaussian, ModelType mtype=ModelType::GPR)NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >
GPBaseModel()NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >
GPNode()NeuralEngine::MachineLearning::GPNode< Scalar >
GPSSBaseModel(const af::array &Y, int latentDimension, Scalar priorMean=0.0, Scalar priorVariance=1.0, af::array &xControl=af::array(), PropagationMode probMode=PropagationMode::MomentMatching, LogLikType lType=LogLikType::Gaussian, bool GPemission=true, bool controlToEmiss=true, XInit emethod=XInit::pca)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >
GPSSBaseModel()NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >
iBatchSizeNeuralEngine::MachineLearning::IModel< Scalar >protected
iDNeuralEngine::MachineLearning::IModel< Scalar >protected
iDControlDyn (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
iDControlEmiss (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
IModel(int numData, int numDimension, ModelType type)NeuralEngine::MachineLearning::IModel< Scalar >protected
iNNeuralEngine::MachineLearning::IModel< Scalar >protected
Init(af::array &mx)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >virtual
NeuralEngine::MachineLearning::GPModels::GPBaseModel::Init()NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >virtual
iqNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
likLayerNeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >protected
m_dTypeNeuralEngine::MachineLearning::IModel< Scalar >protected
mChild (defined in NeuralEngine::MachineLearning::GPNode< Scalar >)NeuralEngine::MachineLearning::GPNode< Scalar >protected
mParent (defined in NeuralEngine::MachineLearning::GPNode< Scalar >)NeuralEngine::MachineLearning::GPNode< Scalar >protected
mType (defined in NeuralEngine::MachineLearning::IModel< Scalar >)NeuralEngine::MachineLearning::IModel< Scalar >protected
Optimise(OptimizerType method=L_BFGS, Scalar tol=0.0, bool reinit_hypers=true, int maxiter=1000, int mb_size=0, LineSearchType lsType=MoreThuente, bool disp=true, int *cycle=nullptr) overrideNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >virtual
pMode (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protected
PosteriorGradientLatents(const af::array &dmx, const af::array &dvx)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protectedvirtual
PosteriorLatents(af::array &mx, af::array &vx)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >virtual
PredictF(const af::array &testInputs, af::array &mf, af::array &vf)NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >virtual
PredictY(const af::array &testInputs, af::array &my, af::array &vy)NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >virtual
SampleY(const af::array inputs, int numSamples, af::array &outFunctions)NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >virtual
serialize(Archive &ar, unsigned int version) (defined in NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >)NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >inlineprivate
SetBatchSize(int size)NeuralEngine::MachineLearning::IModel< Scalar >virtual
SetChild(int i, std::shared_ptr< GPNode< Scalar > > const &child)NeuralEngine::MachineLearning::GPNode< Scalar >
SetIndexes(af::array &indexes)NeuralEngine::MachineLearning::IModel< Scalar >
SetParameters(const af::array &param) overrideNeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >virtual
SetParent(GPNode< Scalar > *parent)NeuralEngine::MachineLearning::GPNode< Scalar >
SetSegments(af::array segments)NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >
SetTrainingData(af::array &data)NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >
UpdateDynamicIndexes()NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >
UpdateParameters()NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >virtual
UpdateParametersInternal()NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >protectedvirtual
~GPBaseModel()NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar >virtual
~GPNode()NeuralEngine::MachineLearning::GPNode< Scalar >virtual
~GPSSBaseModel()NeuralEngine::MachineLearning::GPModels::GPSSBaseModel< Scalar >virtual