| AddData(const af::array Ytrain) | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | virtual |
| afBias | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | protected |
| afIndexes | NeuralEngine::MachineLearning::IModel< Scalar > | protected |
| afSegments | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | protected |
| afX | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | protected |
| afY | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | protected |
| bInit | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | protected |
| boost::serialization::access (defined in NeuralEngine::MachineLearning::GPModels::PowerEP::SGPR< Scalar >) | NeuralEngine::MachineLearning::GPModels::PowerEP::SGPR< Scalar > | friend |
| FixInducing(bool isfixed) | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | virtual |
| FixKernelParameters(bool isfixed) | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | virtual |
| 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 > | |
| GetDataDimensionality() | NeuralEngine::MachineLearning::IModel< Scalar > | |
| GetDataLenght() | NeuralEngine::MachineLearning::IModel< Scalar > | |
| GetGPLayer() | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | |
| GetModelType() | NeuralEngine::MachineLearning::IModel< Scalar > | |
| GetNumParameters() override | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | virtual |
| GetParameters() override | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | virtual |
| GetPseudoInputs() | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | |
| GetSegments() | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | |
| GetTrainingData() | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | |
| GetTrainingInputs() | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< 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::SparseGPBaseModel< Scalar > | protected |
| iBatchSize | NeuralEngine::MachineLearning::IModel< Scalar > | protected |
| iD | NeuralEngine::MachineLearning::IModel< Scalar > | protected |
| ik | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | protected |
| IModel(int numData, int numDimension, ModelType type) | NeuralEngine::MachineLearning::IModel< Scalar > | protected |
| iN | NeuralEngine::MachineLearning::IModel< Scalar > | protected |
| Inference(Scalar alpha=1.0, int numIter=10, bool parallelUpdate=false, Scalar decay=0.5) | NeuralEngine::MachineLearning::GPModels::PowerEP::SGPR< Scalar > | |
| Init() override | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | virtual |
| iq | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | protected |
| likLayer | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | protected |
| m_dType | NeuralEngine::MachineLearning::IModel< 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) | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | virtual |
| PredictF(const af::array &testInputs, af::array &mf, af::array &vf) override | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< 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::SparseGPBaseModel< Scalar > | virtual |
| serialize(Archive &ar, unsigned int version) (defined in NeuralEngine::MachineLearning::GPModels::PowerEP::SGPR< Scalar >) | NeuralEngine::MachineLearning::GPModels::PowerEP::SGPR< Scalar > | inlineprivate |
| SetBatchSize(int size) | NeuralEngine::MachineLearning::IModel< Scalar > | virtual |
| SetIndexes(af::array &indexes) | NeuralEngine::MachineLearning::IModel< Scalar > | |
| SetParameters(const af::array ¶m) override | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | virtual |
| SetSegments(af::array segments) | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | |
| SetTrainingData(af::array &data) | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | |
| SetTrainingInputs(af::array &inputs) | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | |
| SGPR(const af::array &Y, const af::array &X, int numInducing=20, LogLikType lType=LogLikType::Gaussian) | NeuralEngine::MachineLearning::GPModels::PowerEP::SGPR< Scalar > | |
| SGPR() (defined in NeuralEngine::MachineLearning::GPModels::PowerEP::SGPR< Scalar >) | NeuralEngine::MachineLearning::GPModels::PowerEP::SGPR< Scalar > | protected |
| SparseGPBaseModel(const af::array &Y, const af::array &X, int numInducing=200, LogLikType lType=LogLikType::Gaussian) | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | |
| SparseGPBaseModel() | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | |
| UpdateParameters() override | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | virtual |
| ~GPBaseModel() | NeuralEngine::MachineLearning::GPModels::GPBaseModel< Scalar > | virtual |
| ~SparseGPBaseModel() | NeuralEngine::MachineLearning::GPModels::SparseGPBaseModel< Scalar > | virtual |