| AddData(const af::array Ytrain) | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | virtual |
| AddStyle(Style< Scalar > style) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | |
| AEP::SGPLayer< Scalar > (defined in NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | friend |
| 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::SparseDeepGPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< 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 > | |
| 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) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | virtual |
| FixKernelParameters(bool isfixed) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< 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) | NeuralEngine::MachineLearning::IModel< 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 > | |
| GetGPLayers() | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | virtual |
| GetLatentDimension() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | |
| GetMeanGradient() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | |
| GetModelType() | NeuralEngine::MachineLearning::IModel< Scalar > | |
| GetNumChildren() const | NeuralEngine::MachineLearning::GPNode< Scalar > | |
| GetNumGPLayerParameters() | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | virtual |
| GetNumLayers() | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | virtual |
| GetNumParameters() override | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | virtual |
| GetParameters() override | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< 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 (defined in NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< 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 |
| IModel(int numData, int numDimension, ModelType type) | NeuralEngine::MachineLearning::IModel< Scalar > | protected |
| iN | NeuralEngine::MachineLearning::IModel< Scalar > | protected |
| Init() override | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | virtual |
| NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel::Init(af::array &mx) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | virtual |
| iNumLayer (defined in NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | protected |
| iq | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protected |
| LatentGradient(const af::array &dm, const af::array &dv) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protectedvirtual |
| 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 |
| PosteriorGradientLatents(const af::array &dmx, const af::array &dvx) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protectedvirtual |
| PosteriorLatents(af::array &mx, af::array &vx) | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | virtual |
| PowerEP::SGPLayer< Scalar > (defined in NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | friend |
| PredictF(const af::array &testInputs, af::array &mf, af::array &vf) override | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< 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::SparseDeepGPLVMBaseModel< Scalar > | virtual |
| serialize(Archive &ar, unsigned int version) (defined in NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | inlineprivate |
| 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 ¶m) override | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< 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 > | |
| SparseDeepGPLVMBaseModel(const af::array &Y, int latentDimension, HiddenLayerDescription description, Scalar priorMean=0.0, Scalar priorVariance=1.0, LogLikType lType=LogLikType::Gaussian, XInit emethod=XInit::pca) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | |
| SparseDeepGPLVMBaseModel(const af::array &Y, int latentDimension, std::vector< HiddenLayerDescription > descriptions, Scalar priorMean=0.0, Scalar priorVariance=1.0, LogLikType lType=LogLikType::Gaussian, XInit emethod=XInit::pca) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | |
| SparseDeepGPLVMBaseModel() | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | |
| UpdateParameters() override | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | virtual |
| UpdateParametersInternal() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | protectedvirtual |
| vDescription (defined in NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | protected |
| vNumPseudosPerLayer (defined in NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | protected |
| vSize (defined in NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar >) | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | protected |
| ~GPBaseModel() | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | virtual |
| ~GPLVMBaseModel() | NeuralEngine::MachineLearning::GPModels::GPLVMBaseModel< Scalar > | virtual |
| ~GPNode() | NeuralEngine::MachineLearning::GPNode< Scalar > | virtual |
| ~SparseDeepGPLVMBaseModel() | NeuralEngine::MachineLearning::GPModels::SparseDeepGPLVMBaseModel< Scalar > | virtual |