Special kernel function for multi-task and transfer learning. More...
#include <shark/Models/Kernels/MultiTaskKernel.h>
Public Types | |
typedef AbstractKernelFunction< InputTypeT > | InputKernelType |
Public Types inherited from shark::ProductKernel< MultiTaskSample< InputTypeT > > | |
typedef AbstractKernelFunction< MultiTaskSample< InputTypeT > > | SubKernel |
typedef base_type::BatchInputType | BatchInputType |
typedef base_type::ConstInputReference | ConstInputReference |
typedef base_type::ConstBatchInputReference | ConstBatchInputReference |
Public Types inherited from shark::AbstractKernelFunction< MultiTaskSample< InputTypeT > > | |
enum | Feature |
enumerations of kerneland metric features (flags) More... | |
typedef base_type::InputType | InputType |
Input type of the Kernel. More... | |
typedef base_type::BatchInputType | BatchInputType |
batch input type of the kernel More... | |
typedef base_type::ConstInputReference | ConstInputReference |
Const references to InputType. More... | |
typedef base_type::ConstBatchInputReference | ConstBatchInputReference |
Const references to BatchInputType. More... | |
typedef TypedFlags< Feature > | Features |
This statement declares the member m_features. See Core/Flags.h for details. More... | |
typedef TypedFeatureNotAvailableException< Feature > | FeatureNotAvailableException |
Public Types inherited from shark::AbstractMetric< MultiTaskSample< InputTypeT > > | |
typedef MultiTaskSample< InputTypeT > | InputType |
Input type of the Kernel. More... | |
typedef Batch< MultiTaskSample< InputTypeT > >::type | BatchInputType |
batch input type of the kernel More... | |
typedef ConstProxyReference< InputType const >::type | ConstInputReference |
Const references to InputType. More... | |
typedef ConstProxyReference< BatchInputType const >::type | ConstBatchInputReference |
Const references to BatchInputType. More... | |
Public Types inherited from shark::IParameterizable<> | |
typedef RealVector | ParameterVectorType |
Public Member Functions | |
MultiTaskKernel (InputKernelType *inputkernel, DiscreteKernel *taskkernel) | |
Constructor. More... | |
std::string | name () const |
From INameable: return the class name. More... | |
Public Member Functions inherited from shark::ProductKernel< MultiTaskSample< InputTypeT > > | |
ProductKernel () | |
Default constructor. More... | |
ProductKernel (SubKernel *k1, SubKernel *k2) | |
Constructor for a product of two kernels. More... | |
ProductKernel (std::vector< SubKernel * > kernels) | |
std::string | name () const |
From INameable: return the class name. More... | |
void | addKernel (SubKernel *k) |
Add one more kernel to the expansion. More... | |
RealVector | parameterVector () const |
Return the parameter vector. More... | |
void | setParameterVector (RealVector const &newParameters) |
Set the parameter vector. More... | |
std::size_t | numberOfParameters () const |
Return the number of parameters. More... | |
double | eval (ConstInputReference x1, ConstInputReference x2) const |
evaluates the kernel function More... | |
void | eval (ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix &result) const |
Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns). More... | |
void | eval (ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix &result, State &state) const |
Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns). More... | |
void | read (InArchive &ar) |
From ISerializable. More... | |
void | write (OutArchive &ar) const |
From ISerializable. More... | |
Public Member Functions inherited from shark::AbstractKernelFunction< MultiTaskSample< InputTypeT > > | |
AbstractKernelFunction () | |
const Features & | features () const |
virtual void | updateFeatures () |
bool | hasFirstParameterDerivative () const |
bool | hasFirstInputDerivative () const |
bool | isNormalized () const |
bool | supportsVariableInputSize () const |
virtual boost::shared_ptr< State > | createState () const |
Creates an internal state of the kernel. More... | |
double | operator() (ConstInputReference x1, ConstInputReference x2) const |
Convenience operator which evaluates the kernel function. More... | |
RealMatrix | operator() (ConstBatchInputReference batchX1, ConstBatchInputReference batchX2) const |
Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns). More... | |
virtual void | weightedParameterDerivative (ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix const &coefficients, State const &state, RealVector &gradient) const |
Computes the gradient of the parameters as a weighted sum over the gradient of all elements of the batch. More... | |
virtual void | weightedInputDerivative (ConstBatchInputReference batchX1, ConstBatchInputReference batchX2, RealMatrix const &coefficientsX2, State const &state, BatchInputType &gradient) const |
Calculates the derivative of the inputs X1 (only x1!). More... | |
virtual double | featureDistanceSqr (ConstInputReference x1, ConstInputReference x2) const |
Computes the squared distance in the kernel induced feature space. More... | |
virtual RealMatrix | featureDistanceSqr (ConstBatchInputReference batchX1, ConstBatchInputReference batchX2) const |
Computes the squared distance in the kernel induced feature space. More... | |
Public Member Functions inherited from shark::AbstractMetric< MultiTaskSample< InputTypeT > > | |
AbstractMetric () | |
virtual | ~AbstractMetric () |
virtual double | featureDistanceSqr (ConstInputReference x1, ConstInputReference x2) const=0 |
Computes the squared distance in the kernel induced feature space. More... | |
virtual RealMatrix | featureDistanceSqr (ConstBatchInputReference batchX1, ConstBatchInputReference batchX2) const=0 |
double | featureDistance (ConstInputReference x1, ConstInputReference x2) const |
Computes the distance in the kernel induced feature space. More... | |
Public Member Functions inherited from shark::INameable | |
virtual | ~INameable () |
Public Member Functions inherited from shark::IParameterizable<> | |
virtual | ~IParameterizable () |
Public Member Functions inherited from shark::ISerializable | |
virtual | ~ISerializable () |
Virtual d'tor. More... | |
void | load (InArchive &archive, unsigned int version) |
Versioned loading of components, calls read(...). More... | |
void | save (OutArchive &archive, unsigned int version) const |
Versioned storing of components, calls write(...). More... | |
BOOST_SERIALIZATION_SPLIT_MEMBER () | |
Additional Inherited Members | |
Protected Attributes inherited from shark::ProductKernel< MultiTaskSample< InputTypeT > > | |
std::vector< SubKernel *> | m_kernels |
vector of sub-kernels More... | |
std::size_t | m_numberOfParameters |
total number of parameters in the product (this is redundant information) More... | |
Protected Attributes inherited from shark::AbstractKernelFunction< MultiTaskSample< InputTypeT > > | |
Features | m_features |
Special kernel function for multi-task and transfer learning.
Definition at line 297 of file MultiTaskKernel.h.
typedef AbstractKernelFunction<InputTypeT> shark::MultiTaskKernel< InputTypeT >::InputKernelType |
Definition at line 305 of file MultiTaskKernel.h.
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inline |
Constructor.
inputkernel | kernel on inputs |
taskkernel | kernel on task indices |
Definition at line 310 of file MultiTaskKernel.h.
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inlinevirtual |
From INameable: return the class name.
Reimplemented from shark::INameable.
Definition at line 318 of file MultiTaskKernel.h.