NeuralEngine A Game Engine with embeded Machine Learning algorithms based on Gaussian Processes. |

NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > Member List

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

BackpropagationGradients(const af::array &mout, const af::array &vout, af::array &dmout, af::array &dvout, Scalar alpha=1.0, Scalar scale=1.0)=0 (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | pure virtual
BackpropagationGradientsLogLikExp(const af::array &mout, const af::array &vout, af::array &dmout, af::array &dvout, af::array &y, Scalar scale=1.0)=0 (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | pure virtual
bDimMod (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | protected
boost::serialization::access (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | friend
ComputeLogLikExp(const af::array &mout, const af::array &vout, const af::array &y)=0 (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | pure virtual
ComputeLogLikExpGradients(const af::array &mout, const af::array &vout, const af::array &y, af::array *de_dm=nullptr, af::array *de_dv=nullptr)=0 (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | pure 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)=0 | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | pure 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)=0 | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | pure 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 > | inline protected
iN | NeuralEngine::MachineLearning::ILayer< Scalar > | protected
InitParameters() (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | inline virtual
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 > | inline protected
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)=0 (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | pure virtual
serialize(Archive &ar, unsigned int version) (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | inline private
SetDataSize(int length, int dimension) | NeuralEngine::MachineLearning::ILayer< Scalar > | inline virtual
SetParameters(const af::array &param) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | virtual
UpdateParameters() | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | inline virtual
~ILayer()=default | NeuralEngine::MachineLearning::ILayer< Scalar > | virtual
~LikelihoodBaseLayer() (defined in NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::LikelihoodBaseLayer< Scalar > | virtual