AbstractModel() | shark::AbstractModel< RealVector, LabelType > | inline |
BatchInputType typedef | shark::CARTClassifier< LabelType > | |
BatchOutputType typedef | shark::CARTClassifier< LabelType > | |
BOOST_SERIALIZATION_SPLIT_MEMBER() | shark::ISerializable | |
CARTClassifier() | shark::CARTClassifier< LabelType > | inline |
CARTClassifier(TreeType const &tree) | shark::CARTClassifier< LabelType > | inlineexplicit |
CARTClassifier(TreeType &&tree) | shark::CARTClassifier< LabelType > | inlineexplicit |
CARTClassifier(TreeType const &tree, bool optimize) | shark::CARTClassifier< LabelType > | inline |
CARTClassifier(TreeType const &tree, std::size_t d) | shark::CARTClassifier< LabelType > | inline |
CARTClassifier(TreeType &&tree, std::size_t d) BOOST_NOEXCEPT_IF((std | shark::CARTClassifier< LabelType > | inline |
computeFeatureImportances(ClassificationDataset const &dataOOB, random::rng_type &rng) | shark::CARTClassifier< LabelType > | inline |
computeFeatureImportances(RegressionDataset const &dataOOB, random::rng_type &rng) | shark::CARTClassifier< LabelType > | inline |
computeOOBerror(const ClassificationDataset &dataOOB) | shark::CARTClassifier< LabelType > | inline |
computeOOBerror(RegressionDataset const &dataOOB) | shark::CARTClassifier< LabelType > | inline |
countAttributes() const | shark::CARTClassifier< LabelType > | inline |
createState() const | shark::CARTClassifier< LabelType > | inlinevirtual |
eval(BatchInputType const &patterns, BatchOutputType &outputs) const | shark::CARTClassifier< LabelType > | inlinevirtual |
eval(BatchInputType const &patterns, BatchOutputType &outputs, State &state) const | shark::CARTClassifier< LabelType > | inlinevirtual |
eval(RealVector const &pattern, LabelType &output) | shark::CARTClassifier< LabelType > | inline |
AbstractModel< RealVector, LabelType >::eval(InputType const &pattern, OutputType &output) const | shark::AbstractModel< RealVector, LabelType > | inlinevirtual |
evalPattern(Vector const &pattern) const | shark::CARTClassifier< LabelType > | inlineprotected |
Feature enum name | shark::AbstractModel< RealVector, LabelType > | |
featureImportances() const | shark::CARTClassifier< LabelType > | inline |
FeatureNotAvailableException typedef | shark::AbstractModel< RealVector, LabelType > | |
Features typedef | shark::AbstractModel< RealVector, LabelType > | |
features() const | shark::AbstractModel< RealVector, LabelType > | inline |
findNode(std::size_t nodeId) const | shark::CARTClassifier< LabelType > | inlineprotected |
getTree() const | shark::CARTClassifier< LabelType > | inline |
HAS_FIRST_INPUT_DERIVATIVE enum value | shark::AbstractModel< RealVector, LabelType > | |
HAS_FIRST_PARAMETER_DERIVATIVE enum value | shark::AbstractModel< RealVector, LabelType > | |
HAS_SECOND_INPUT_DERIVATIVE enum value | shark::AbstractModel< RealVector, LabelType > | |
HAS_SECOND_PARAMETER_DERIVATIVE enum value | shark::AbstractModel< RealVector, LabelType > | |
hasFirstInputDerivative() const | shark::AbstractModel< RealVector, LabelType > | inline |
hasFirstParameterDerivative() const | shark::AbstractModel< RealVector, LabelType > | inline |
hasSecondInputDerivative() const | shark::AbstractModel< RealVector, LabelType > | inline |
hasSecondParameterDerivative() const | shark::AbstractModel< RealVector, LabelType > | inline |
inputSize() const | shark::CARTClassifier< LabelType > | inline |
InputType typedef | shark::AbstractModel< RealVector, LabelType > | |
IS_SEQUENTIAL enum value | shark::AbstractModel< RealVector, LabelType > | |
isSequential() const | shark::AbstractModel< RealVector, LabelType > | inline |
load(InArchive &archive, unsigned int version) | shark::ISerializable | inline |
m_featureImportances | shark::CARTClassifier< LabelType > | protected |
m_features | shark::AbstractModel< RealVector, LabelType > | protected |
m_inputDimension | shark::CARTClassifier< LabelType > | protected |
m_OOBerror | shark::CARTClassifier< LabelType > | protected |
m_tree | shark::CARTClassifier< LabelType > | protected |
name() const | shark::CARTClassifier< LabelType > | inlinevirtual |
numberOfParameters() const | shark::CARTClassifier< LabelType > | inlinevirtual |
OOBerror() const | shark::CARTClassifier< LabelType > | inline |
operator()(Data< InputType > const &patterns) const | shark::AbstractModel< RealVector, LabelType > | inline |
operator()(InputType const &pattern) const | shark::AbstractModel< RealVector, LabelType > | inline |
operator()(BatchInputType const &patterns) const | shark::AbstractModel< RealVector, LabelType > | inline |
optimizeTree(TreeType &tree) const | shark::CARTClassifier< LabelType > | inlineprotected |
OutputType typedef | shark::AbstractModel< RealVector, LabelType > | |
parameterVector() const | shark::CARTClassifier< LabelType > | inlinevirtual |
read(InArchive &archive) | shark::CARTClassifier< LabelType > | inlinevirtual |
save(OutArchive &archive, unsigned int version) const | shark::ISerializable | inline |
setInputDimension(std::size_t d) | shark::CARTClassifier< LabelType > | inline |
setParameterVector(RealVector const ¶m) | shark::CARTClassifier< LabelType > | inlinevirtual |
setTree(TreeType const &tree) | shark::CARTClassifier< LabelType > | inline |
TreeType typedef | shark::CARTClassifier< LabelType > | |
updateFeatures() | shark::AbstractModel< RealVector, LabelType > | inlinevirtual |
weightedDerivatives(BatchInputType const &patterns, BatchOutputType const &coefficients, State const &state, RealVector ¶meterDerivative, BatchInputType &inputDerivative) const | shark::AbstractModel< RealVector, LabelType > | inlinevirtual |
weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) const | shark::AbstractModel< RealVector, LabelType > | inlinevirtual |
weightedInputDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, typename Batch< RealMatrix >::type const &errorHessian, State const &state, RealMatrix &derivative, Batch< RealMatrix >::type &hessian) const | shark::AbstractModel< RealVector, LabelType > | inlinevirtual |
weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, State const &state, RealVector &derivative) const | shark::AbstractModel< RealVector, LabelType > | inlinevirtual |
weightedParameterDerivative(BatchInputType const &pattern, BatchOutputType const &coefficients, Batch< RealMatrix >::type const &errorHessian, State const &state, RealVector &derivative, RealMatrix &hessian) const | shark::AbstractModel< RealVector, LabelType > | inlinevirtual |
write(OutArchive &archive) const | shark::CARTClassifier< LabelType > | inlinevirtual |
~AbstractModel() | shark::AbstractModel< RealVector, LabelType > | inlinevirtual |
~INameable() | shark::INameable | inlinevirtual |
~IParameterizable() | shark::IParameterizable | inlinevirtual |
~ISerializable() | shark::ISerializable | inlinevirtual |