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 > | inline protected
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(af::array *X=nullptr) (defined in NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar > | virtual
iq | NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar > | protected
isFixedHypers (defined in NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar >) | NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar > | protected
JITTER | NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar > | protected
kernel | NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar > | protected
lType | NeuralEngine::MachineLearning::ILayer< Scalar > | protected
m_dType | NeuralEngine::MachineLearning::ILayer< Scalar > | protected
mStyles | NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar > | protected
ReinitParameters() | NeuralEngine::MachineLearning::GPModels::GPBaseLayer< Scalar > | protected virtual
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 > | inline private
SetDataSize(int length, int dimension) override | NeuralEngine::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()=default | NeuralEngine::MachineLearning::ILayer< Scalar > | virtual