_sn (defined in NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | private |
BackpropagationGradients(const af::array &mout, const af::array &vout, af::array &dmout, af::array &dvout, Scalar alpha=1.0, Scalar scale=1.0) (defined in NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
BackpropagationGradientsLogLikExp(const af::array &mout, const af::array &vout, af::array &dmout, af::array &dvout, af::array &y, Scalar scale=1.0) (defined in NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
bDimMod (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | protected |
boost::serialization::access (defined in NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | friend |
ComputeLogLikExp(const af::array &mout, const af::array &vout, const af::array &y) (defined in NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
ComputeLogLikExpGradients(const af::array &mout, const af::array &vout, const af::array &y, af::array *de_dm=nullptr, af::array *de_dv=nullptr) (defined in NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
ComputeLogZ(const af::array &mout, const af::array &vout, const af::array &y, Scalar alpha=1.0, af::array *dlogZ_dm=nullptr, af::array *dlogZ_dv=nullptr, af::array *dlogZ_dm2=nullptr) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
ComputeLogZGradients(const af::array &mout, const af::array &vout, const af::array &y, af::array *dlogZ_dm=nullptr, af::array *dlogZ_dv=nullptr, af::array *dlogZ_dm2=nullptr, Scalar alpha=1.0) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
FixParameters(bool isfixed) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | virtual |
GaussLikLayer(int numPoints, int outputDim) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | |
GaussLikLayer() | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | inlineprotected |
GetLogLikType() | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | |
GetNumParameters() override | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
GetParameters() override | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
GetType() | NeuralEngine::MachineLearning::ILayer< Scalar > | inline |
iD | NeuralEngine::MachineLearning::ILayer< Scalar > | protected |
ILayer(LayerType type, int numPoints, int outputDim) | NeuralEngine::MachineLearning::ILayer< Scalar > | inline |
ILayer() | NeuralEngine::MachineLearning::ILayer< Scalar > | inlineprotected |
iN | NeuralEngine::MachineLearning::ILayer< Scalar > | protected |
InitParameters() (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | inlinevirtual |
isFixedParam (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | protected |
LikelihoodBaseLayer(LogLikType type, int numPoints, int outputDim) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | |
LikelihoodBaseLayer() | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | inlineprotected |
lltype (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | private |
lType | NeuralEngine::MachineLearning::ILayer< Scalar > | protected |
m_dType | NeuralEngine::MachineLearning::ILayer< Scalar > | protected |
ProbabilisticOutput(const af::array &mf, const af::array &vf, af::array &myOut, af::array &vyOut, Scalar alpha=1.0f) (defined in NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
serialize(Archive &ar, unsigned int version) (defined in NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | inlineprivate |
SetDataSize(int length, int dimension) | NeuralEngine::MachineLearning::ILayer< Scalar > | inlinevirtual |
SetParameters(const af::array ¶m) override | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
UpdateParameters() override | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | virtual |
~GaussLikLayer() | NeuralEngine::MachineLearning::GPModels::GaussLikLayer< Scalar > | |
~ILayer()=default | NeuralEngine::MachineLearning::ILayer< Scalar > | virtual |
~LikelihoodBaseLayer() (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | virtual |