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NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > Member List

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

AddData(const af::array Ytrain) | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | virtual
AddStyle(Style< Scalar > style) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
afBias | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | protected
afFactorX1 | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afFactorX2 | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afGradMean | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afGradMeanCav | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afGradVariance | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afGradVarianceCav | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afIndexes | NeuralEngine::MachineLearning::IModel< Scalar > | protected
afLatentGradientX | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afPosteriorX1 | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afPosteriorX2 | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afPriorMean | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afPriorMeanCav | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afPriorVariance | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afPriorVarianceCav | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afPriorX1 | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afPriorX1Cav | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afPriorX2 | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afPriorX2Cav | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
afSegments | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | protected
afY | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | protected
AttachChild(std::shared_ptr< GPNode< Scalar > > const &child) | NeuralEngine::MachineLearning::GPNode< Scalar > |
backConst | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
bInit | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | protected
bIsLatetsFixed (defined in NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
boost::serialization::access (defined in NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar >) | NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > | friend
CavityGradientLatents(const af::array &dmx, const af::array &dvx, const af::array &m, const af::array &v) | NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > | protected
CavityLatents(af::array &mx, af::array &vx) | NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > | protected
ComputePhiLatents(const af::array &mx, const af::array &vx, af::array *dmx=nullptr, af::array *dvx=nullptr) | NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > | protected
dAlpha | NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > | private
DetachAllChildren() | NeuralEngine::MachineLearning::GPNode< Scalar > |
DetachChild(std::shared_ptr< GPNode< Scalar > > const &child) | NeuralEngine::MachineLearning::GPNode< Scalar > |
DetachChildAt(int i) | NeuralEngine::MachineLearning::GPNode< Scalar > |
dPriorMean | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
dPriorVariance | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
dPriorX1 | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
dPriorX2 | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
eEmMethod (defined in NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
FixInducing(bool isfixed) override | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | virtual
FixKernelParameters(bool isfixed) override | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | virtual
FixLatents(bool isFixed) (defined in NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
FixLikelihoodParameters(bool isfixed) | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | virtual
Function(const af::array &x, af::array &outGradient) override | NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > | virtual
GetBackConstraint() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
GetBatchSize() | NeuralEngine::MachineLearning::IModel< Scalar > |
GetChild(int i) | NeuralEngine::MachineLearning::GPNode< Scalar > |
GetDataDimensionality() | NeuralEngine::MachineLearning::IModel< Scalar > |
GetDataLenght() | NeuralEngine::MachineLearning::IModel< Scalar > |
GetLatentDimension() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
GetMeanGradient() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
GetModelType() | NeuralEngine::MachineLearning::IModel< Scalar > |
GetNumChildren() const | NeuralEngine::MachineLearning::GPNode< Scalar > |
GetNumParameters() override | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | virtual
GetParameters() override | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | virtual
GetParent() | NeuralEngine::MachineLearning::GPNode< Scalar > |
GetSegments() | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > |
GetStyles() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
GetTrainingData() | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > |
GetVarGradient() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< 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 > |
gpLayer | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | protected
GPLVMBaseModel(const af::array &Y, int latentDimension, Scalar priorMean=0.0, Scalar priorVariance=1.0, LogLikType lType=LogLikType::Gaussian, XInit emethod=XInit::pca) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
GPLVMBaseModel() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
GPNode() | NeuralEngine::MachineLearning::GPNode< Scalar > |
iBatchSize | NeuralEngine::MachineLearning::IModel< Scalar > | protected
iD | NeuralEngine::MachineLearning::IModel< Scalar > | protected
ik | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | protected
IModel(int numData, int numDimension, ModelType type) | NeuralEngine::MachineLearning::IModel< Scalar > | protected
iN | NeuralEngine::MachineLearning::IModel< Scalar > | protected
Init() override | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | virtual
NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel::Init(af::array &mx) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | virtual
iq | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected
LatentGradient(const af::array &dm, const af::array &dv) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected virtual
likLayer | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | protected
m_dType | NeuralEngine::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
mStyles | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< 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) override | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | virtual
pMode (defined in NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar >) | NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > | private
PosteriorGradientLatents(const af::array &dmx, const af::array &dvx) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected virtual
PosteriorLatents(af::array &mx, af::array &vx) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | virtual
PredictF(const af::array &testInputs, af::array &mf, af::array &vf) override | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< 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) override | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | virtual
serialize(Archive &ar, unsigned int version) (defined in NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar >) | NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > | inline private
SetBackConstraint(IBackconstraint< Scalar > *constraint) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
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 > |
SetLatentGradient(const af::array &dmParent, const af::array &dvParent) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
SetLatentGradientCavity(const af::array &dmParent, const af::array &dvParent) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
SetParameters(const af::array &param) override | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | virtual
SetParent(GPNode< Scalar > *parent) | NeuralEngine::MachineLearning::GPNode< Scalar > |
SetPrior(const af::array mean, const af::array var) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
SetPriorCavity(const af::array meanCav, const af::array varCav) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
SetSegments(af::array segments) | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > |
SetStyles(std::map< std::string, Style< Scalar > > *styles) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > |
SetTrainingData(af::array &data) | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > |
SGPLVM(const af::array &Y, int latentDimension, int numInducing=200, Scalar alpha=1.0, Scalar priorMean=0.0, Scalar priorVariance=1.0, PropagationMode probMode=PropagationMode::MomentMatching, LogLikType lType=LogLikType::Gaussian, XInit emethod=XInit::pca) | NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > |
SGPLVM() | NeuralEngine::MachineLearning::GPModels::AEP::SGPLVM< Scalar > |
SparseGPLVMBaseModel(const af::array &Y, int latentDimension, Scalar priorMean=0.0, Scalar priorVariance=1.0, int numInducing=200, LogLikType lType=LogLikType::Gaussian, XInit emethod=XInit::pca) | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > |
SparseGPLVMBaseModel() | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > |
UpdateParameters() override | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | virtual
UpdateParametersInternal() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected virtual
~GPBaseModel() | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | virtual
~GPLVMBaseModel() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | virtual
~GPNode() | NeuralEngine::MachineLearning::GPNode< Scalar > | virtual
~SparseGPLVMBaseModel() | NeuralEngine::MachineLearning::GPModels::SparseGPLVMBaseModel< Scalar > | virtual