NeuralEngine
A Game Engine with embeded Machine Learning algorithms based on Gaussian Processes.
Class Index
A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V | W | X | _
A
AdaMaxSolver (NeuralEngine::MachineLearning)
AdamSolver (NeuralEngine::MachineLearning)
AfArma (NeuralEngine::MachineLearning)
AfCv (NeuralEngine::MachineLearning)
ARDKernel (NeuralEngine::MachineLearning)
ArmijoBracketingLineSearch (NeuralEngine::MachineLearning)
ArmijoLineSearch (NeuralEngine::MachineLearning)
Array2 (NeuralEngine)
Array3 (NeuralEngine)
Array4 (NeuralEngine)
B
BaseGradientOptimizationMethod (NeuralEngine::MachineLearning)
BaseOptimizationMethod (NeuralEngine::MachineLearning)
BSGPR (NeuralEngine::MachineLearning::GPModels::AEP)
C
Color (NeuralEngine::MachineLearning)
CommonUtil (NeuralEngine::MachineLearning)
CompoundKernel (NeuralEngine::MachineLearning)
ComputeModel (NeuralEngine)
D
DeepGPBaseModel (NeuralEngine::MachineLearning::GPModels)
DiscreteFactorNode (NeuralEngine::MachineLearning)
DiscreteGraph (NeuralEngine::MachineLearning)
DiscreteMessage (NeuralEngine::MachineLearning)
DiscreteVariableNode (NeuralEngine::MachineLearning)
E
EFStream (NeuralEngine)
EigenvalueDecomposition (NeuralEngine::MachineLearning)
Environment (NeuralEngine)
F
Figure (NeuralEngine::MachineLearning)
G
GaussEmission (NeuralEngine::MachineLearning::GPModels)
GaussHermiteQuadrature (NeuralEngine::MachineLearning)
GaussianMessage (NeuralEngine::MachineLearning)
GaussLikLayer (NeuralEngine::MachineLearning::GPModels)
GPBaseLayer (NeuralEngine::MachineLearning::GPModels)
GPBaseModel (NeuralEngine::MachineLearning::GPModels)
GPLVMBaseModel (NeuralEngine::MachineLearning::GPModels)
GPNode (NeuralEngine::MachineLearning)
GPSSBaseModel (NeuralEngine::MachineLearning::GPModels)
H
HiddenLayerDescription (NeuralEngine::MachineLearning)
HighGUI (NeuralEngine::MachineLearning)
I
IBackconstraint (NeuralEngine::MachineLearning::GPModels)
IEmbed (NeuralEngine::MachineLearning)
IFactorNode (NeuralEngine::MachineLearning)
IGradientOptimizationMethod (NeuralEngine::MachineLearning)
IGraph (NeuralEngine::MachineLearning)
IKernel (NeuralEngine::MachineLearning)
ILayer (NeuralEngine::MachineLearning)
ILineSearch (NeuralEngine::MachineLearning)
IMessage (NeuralEngine::MachineLearning)
IModel (NeuralEngine::MachineLearning)
INode (NeuralEngine::MachineLearning)
InterDomainKernel (NeuralEngine::MachineLearning)
IObjectiveFunction (NeuralEngine::MachineLearning)
IOptimizationMethod (NeuralEngine::MachineLearning)
is_float (NeuralEngine::MachineLearning)
is_Scalar (NeuralEngine::MachineLearning)
Isomap (NeuralEngine::MachineLearning)
IVariableNode (NeuralEngine::MachineLearning)
K
KBR (NeuralEngine::MachineLearning::GPModels)
KMeans (NeuralEngine::MachineLearning)
L
layertype_serializer
LBFGSBSolver (NeuralEngine::MachineLearning)
LBFGSSolver (NeuralEngine::MachineLearning)
LexicoArray2 (NeuralEngine)
LexicoArray2< false, Real > (NeuralEngine)
LexicoArray2< false, Real, NumRows, NumCols >
LexicoArray2< true, Real > (NeuralEngine)
LexicoArray2< true, Real, NumRows, NumCols >
LikelihoodBaseLayer (NeuralEngine::MachineLearning::GPModels)
LinearAccelerationKernel (NeuralEngine::MachineLearning)
LinearKernel (NeuralEngine::MachineLearning)
Listener (NeuralEngine)
LLE (NeuralEngine::MachineLearning)
Logger (NeuralEngine)
LogReporter (NeuralEngine)
LogToFile (NeuralEngine)
LogToMessageBox (NeuralEngine)
LogToOutputWindow (NeuralEngine)
LogToStdout (NeuralEngine)
LogToStringArray (NeuralEngine)
M
map (better_enums)
map_compare (better_enums)
map_compare< const char * > (better_enums)
map_compare< const wchar_t * > (better_enums)
MatlabIO (NeuralEngine)
MatlabIOContainer (NeuralEngine)
Metrics (NeuralEngine::MachineLearning)
MinHeap (NeuralEngine)
MoreThuenteLineSearch (NeuralEngine::MachineLearning)
N
NadamSolver (NeuralEngine::MachineLearning)
NonlinearObjectiveFunction (NeuralEngine::MachineLearning)
O
Offset (NeuralEngine::MachineLearning)
OptimizationMethod (NeuralEngine::MachineLearning)
optional (better_enums)
P
PCA (NeuralEngine::MachineLearning)
Point2 (NeuralEngine::MachineLearning)
Point3 (NeuralEngine::MachineLearning)
Potential (NeuralEngine::MachineLearning)
ProbitLikLayer (NeuralEngine::MachineLearning::GPModels)
PTC (NeuralEngine::MachineLearning::GPModels)
R
RBFAccelerationKernel (NeuralEngine::MachineLearning)
RBFKernel (NeuralEngine::MachineLearning)
MinHeap::Record (NeuralEngine)
Rect (NeuralEngine::MachineLearning)
ReversalObject (NeuralEngine)
S
ScaledConjugateGradient (NeuralEngine::MachineLearning)
SDGPLVM (NeuralEngine::MachineLearning::GPModels::AEP)
SDGPR (NeuralEngine::MachineLearning::GPModels::AEP)
SDGPSSM (NeuralEngine::MachineLearning::GPModels::AEP)
Series (NeuralEngine::MachineLearning)
SGPLayer (NeuralEngine::MachineLearning::GPModels::AEP)
SGPLayer (NeuralEngine::MachineLearning::GPModels::PowerEP)
SGPLayer (NeuralEngine::MachineLearning::GPModels::VFE)
SGPLayer2nd (NeuralEngine::MachineLearning::GPModels::PowerEP)
SGPLVM (NeuralEngine::MachineLearning::GPModels::AEP)
SGPLVM (NeuralEngine::MachineLearning::GPModels::PowerEP)
SGPLVM (NeuralEngine::MachineLearning::GPModels::VFE)
SGPR (NeuralEngine::MachineLearning::GPModels::AEP)
SGPR (NeuralEngine::MachineLearning::GPModels::PowerEP)
SGPR (NeuralEngine::MachineLearning::GPModels::VFE)
SGPR2nd (NeuralEngine::MachineLearning::GPModels::PowerEP)
SGPSSM (NeuralEngine::MachineLearning::GPModels::AEP)
Size (NeuralEngine::MachineLearning)
SparseDeepGPBaseModel (NeuralEngine::MachineLearning::GPModels)
SparseDeepGPLVMBaseModel (NeuralEngine::MachineLearning::GPModels)
SparseDeepGPSSMBaseModel (NeuralEngine::MachineLearning::GPModels)
SparseGPBaseLayer (NeuralEngine::MachineLearning::GPModels)
SparseGPBaseModel (NeuralEngine::MachineLearning::GPModels)
SparseGPLVMBaseModel (NeuralEngine::MachineLearning::GPModels)
SparseGPSSMBaseModel (NeuralEngine::MachineLearning::GPModels)
StrongWolfeBacktrackingLineSearch (NeuralEngine::MachineLearning)
StrongWolfeBracketingLineSearch (NeuralEngine::MachineLearning)
Style (NeuralEngine::MachineLearning::GPModels)
StyleKernel (NeuralEngine::MachineLearning)
T
TensorKernel (NeuralEngine::MachineLearning)
ThreadSafeMap (NeuralEngine)
ThreadSafeQueue (NeuralEngine)
Timer (NeuralEngine)
TMsgBox (NeuralEngine::MachineLearning)
Trans (NeuralEngine::MachineLearning)
TypeName (NeuralEngine)
TypeName< bool > (NeuralEngine)
TypeName< char > (NeuralEngine)
TypeName< cv::Mat > (NeuralEngine)
TypeName< double > (NeuralEngine)
TypeName< float > (NeuralEngine)
TypeName< int16_t > (NeuralEngine)
TypeName< int32_t > (NeuralEngine)
TypeName< int64_t > (NeuralEngine)
TypeName< int8_t > (NeuralEngine)
TypeName< MatlabIOContainer > (NeuralEngine)
TypeName< std::vector< cv::Mat > > (NeuralEngine)
TypeName< std::vector< MatlabIOContainer > > (NeuralEngine)
TypeName< std::vector< std::vector< MatlabIOContainer > > > (NeuralEngine)
TypeName< uint16_t > (NeuralEngine)
TypeName< uint32_t > (NeuralEngine)
TypeName< uint64_t > (NeuralEngine)
TypeName< uint8_t > (NeuralEngine)
TypeName< void > (NeuralEngine)
U
Util (NeuralEngine::MachineLearning)
Util (NeuralEngine)
V
View (NeuralEngine::MachineLearning)
W
WhiteKernel (NeuralEngine::MachineLearning)
Window (NeuralEngine::MachineLearning)
WolfeBacktrackingLineSearch (NeuralEngine::MachineLearning)
WolfeBracketingLineSearch (NeuralEngine::MachineLearning)
X
Isomap::Xstruct (NeuralEngine::MachineLearning)
_
_eat_assign (better_enums)
_initialize_at_program_start (better_enums)
_Iterable (better_enums)