| afGHw (defined in NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar > | protected |
| afGHx (defined in NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar > | protected |
| 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::ProbitLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< 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::ProbitLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar > | virtual |
| bDimMod (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | protected |
| boost::serialization::access (defined in NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar > | friend |
| ComputeLogLikExp(const af::array &mout, const af::array &vout, const af::array &y) (defined in NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< 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::ProbitLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< 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::ProbitLikLayer< 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::ProbitLikLayer< Scalar > | virtual |
| FixParameters(bool isfixed) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | virtual |
| GetLogLikType() | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | |
| GetNumParameters() | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | virtual |
| GetParameters() | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< 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::ProbitLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar > | virtual |
| ProbitLikLayer(int numPoints, int outputDim) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar > | |
| ProbitLikLayer() (defined in NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar > | inlineprotected |
| serialize(Archive &ar, unsigned int version) (defined in NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::ProbitLikLayer< Scalar > | inlineprivate |
| SetDataSize(int length, int dimension) | NeuralEngine::MachineLearning::ILayer< Scalar > | inlinevirtual |
| SetParameters(const af::array ¶m) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | virtual |
| UpdateParameters() | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | inlinevirtual |
| ~ILayer()=default | NeuralEngine::MachineLearning::ILayer< Scalar > | virtual |
| ~LikelihoodBaseLayer() (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | virtual |