NeuralEngine
A Game Engine with embeded Machine Learning algorithms based on Gaussian Processes.
NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar > Member List

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

boost::serialization::access (defined in NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >friend
FixKernelParameters(bool isfixed)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >virtual
ForwardPredictionPost(const af::array *mx, const af::array *vx, af::array &mout, af::array &vout)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >virtual
GetKernel()NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >
GetNumParameters()NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >virtual
GetParameters()NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >virtual
GetType()NeuralEngine::MachineLearning::ILayer< Scalar >inline
GPBaseLayer(int numPoints, int outputDim, int inputDim)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >
GPBaseLayer()NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >inlineprotected
iDNeuralEngine::MachineLearning::ILayer< Scalar >protected
ILayer(LayerType type, int numPoints, int outputDim)NeuralEngine::MachineLearning::ILayer< Scalar >inline
ILayer()NeuralEngine::MachineLearning::ILayer< Scalar >inlineprotected
iNNeuralEngine::MachineLearning::ILayer< Scalar >protected
InitParameters(af::array *X=nullptr) (defined in NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >virtual
iqNeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >protected
isFixedHypers (defined in NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >protected
JITTERNeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >protected
kernelNeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >protected
lTypeNeuralEngine::MachineLearning::ILayer< Scalar >protected
m_dTypeNeuralEngine::MachineLearning::ILayer< Scalar >protected
mStylesNeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >protected
ReinitParameters()NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >protectedvirtual
SampleFromPost(const af::array &inX, af::array &outfsample)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >virtual
serialize(Archive &ar, unsigned int version) (defined in NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >inlineprivate
SetDataSize(int length, int dimension) overrideNeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >virtual
SetKernel(IKernel< Scalar > *kern)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >
SetLatentDimension(int q)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >
SetParameters(const af::array &param)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >virtual
SetStyles(std::map< std::string, Style< Scalar > > *styles)NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >
UpdateParameters()NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >virtual
~GPBaseLayer()NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >virtual
~ILayer()=defaultNeuralEngine::MachineLearning::ILayer< Scalar >virtual