Abstract model with associated clustering object. More...
#include <shark/Models/Clustering/ClusteringModel.h>
Public Types | |
typedef AbstractClustering< InputT > | ClusteringType |
typedef base_type::BatchInputType | BatchInputType |
typedef base_type::BatchOutputType | BatchOutputType |
Public Types inherited from shark::AbstractModel< InputT, OutputT > | |
enum | Feature |
typedef InputT | InputType |
Defines the input type of the model. More... | |
typedef OutputT | OutputType |
Defines the output type of the model. More... | |
typedef AbstractModel< InputT, OutputT, RealVector > | ModelBaseType |
Defines the BaseType used by the model (this type). Useful for creating derived models. More... | |
typedef Batch< InputType >::type | BatchInputType |
defines the batch type of the input type. More... | |
typedef Batch< OutputType >::type | BatchOutputType |
defines the batch type of the output type More... | |
typedef TypedFlags< Feature > | Features |
typedef TypedFeatureNotAvailableException< Feature > | FeatureNotAvailableException |
Public Types inherited from shark::IParameterizable< RealVector > | |
typedef RealVector | ParameterVectorType |
Public Member Functions | |
ClusteringModel (ClusteringType *clustering) | |
Constructor. More... | |
RealVector | parameterVector () const |
Redirect parameter access to the clustering object. More... | |
void | setParameterVector (RealVector const &newParameters) |
Redirect parameter access to the clustering object. More... | |
std::size_t | numberOfParameters () const |
Redirect parameter access to the clustering object. More... | |
void | read (InArchive &archive) |
From ISerializable, reads a model from an archive. More... | |
void | write (OutArchive &archive) const |
From ISerializable, writes a model to an archive. More... | |
void | eval (BatchInputType const &patterns, BatchOutputType &outputs, State &state) const |
Standard interface for evaluating the response of the model to a batch of patterns. More... | |
Public Member Functions inherited from shark::AbstractModel< InputT, OutputT > | |
AbstractModel () | |
virtual | ~AbstractModel () |
const Features & | features () const |
virtual void | updateFeatures () |
bool | hasFirstParameterDerivative () const |
Returns true when the first parameter derivative is implemented. More... | |
bool | hasFirstInputDerivative () const |
Returns true when the first input derivative is implemented. More... | |
virtual Shape | inputShape () const=0 |
Returns the expected shape of the input. More... | |
virtual Shape | outputShape () const=0 |
Returns the shape of the output. More... | |
virtual boost::shared_ptr< State > | createState () const |
Creates an internal state of the model. More... | |
virtual void | eval (BatchInputType const &patterns, BatchOutputType &outputs) const |
Standard interface for evaluating the response of the model to a batch of patterns. More... | |
virtual void | eval (InputType const &pattern, OutputType &output) const |
Standard interface for evaluating the response of the model to a single pattern. More... | |
Data< OutputType > | operator() (Data< InputType > const &patterns) const |
Model evaluation as an operator for a whole dataset. This is a convenience function. More... | |
OutputType | operator() (InputType const &pattern) const |
Model evaluation as an operator for a single pattern. This is a convenience function. More... | |
BatchOutputType | operator() (BatchInputType const &patterns) const |
Model evaluation as an operator for a single pattern. This is a convenience function. More... | |
virtual void | weightedParameterDerivative (BatchInputType const &pattern, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, RealVector &derivative) const |
calculates the weighted sum of derivatives w.r.t the parameters. More... | |
virtual void | weightedInputDerivative (BatchInputType const &pattern, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, BatchInputType &derivative) const |
calculates the weighted sum of derivatives w.r.t the inputs More... | |
virtual void | weightedDerivatives (BatchInputType const &patterns, BatchOutputType const &outputs, BatchOutputType const &coefficients, State const &state, RealVector ¶meterDerivative, BatchInputType &inputDerivative) const |
calculates weighted input and parameter derivative at the same time More... | |
Public Member Functions inherited from shark::IParameterizable< RealVector > | |
virtual | ~IParameterizable () |
Public Member Functions inherited from shark::INameable | |
virtual | ~INameable () |
virtual std::string | name () const |
returns the name of the object More... | |
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 () | |
Protected Attributes | |
ClusteringType * | mep_clustering |
Clustering object, see class AbstractClustering. More... | |
Protected Attributes inherited from shark::AbstractModel< InputT, OutputT > | |
Features | m_features |
Abstract model with associated clustering object.
See HardClusteringModel and SoftClusteringModel for details.
Definition at line 50 of file ClusteringModel.h.
typedef base_type::BatchInputType shark::ClusteringModel< InputT, OutputT >::BatchInputType |
Definition at line 55 of file ClusteringModel.h.
typedef base_type::BatchOutputType shark::ClusteringModel< InputT, OutputT >::BatchOutputType |
Definition at line 56 of file ClusteringModel.h.
typedef AbstractClustering<InputT> shark::ClusteringModel< InputT, OutputT >::ClusteringType |
Definition at line 54 of file ClusteringModel.h.
|
inline |
Constructor.
Definition at line 59 of file ClusteringModel.h.
|
inlinevirtual |
Standard interface for evaluating the response of the model to a batch of patterns.
patterns | the inputs of the model |
outputs | the predictions or response of the model to every pattern |
state | intermediate results stored by eval which can be reused for derivative computation. |
Implements shark::AbstractModel< InputT, OutputT >.
Definition at line 85 of file ClusteringModel.h.
Referenced by shark::ClusteringModel< InputT, unsigned int >::eval().
|
inlinevirtual |
Redirect parameter access to the clustering object.
Reimplemented from shark::IParameterizable< RealVector >.
Definition at line 73 of file ClusteringModel.h.
|
inlinevirtual |
Redirect parameter access to the clustering object.
Reimplemented from shark::IParameterizable< RealVector >.
Definition at line 65 of file ClusteringModel.h.
|
inlinevirtual |
From ISerializable, reads a model from an archive.
Reimplemented from shark::AbstractModel< InputT, OutputT >.
Definition at line 77 of file ClusteringModel.h.
|
inlinevirtual |
Redirect parameter access to the clustering object.
Reimplemented from shark::IParameterizable< RealVector >.
Definition at line 69 of file ClusteringModel.h.
|
inlinevirtual |
From ISerializable, writes a model to an archive.
Reimplemented from shark::AbstractModel< InputT, OutputT >.
Definition at line 81 of file ClusteringModel.h.
|
protected |
Clustering object, see class AbstractClustering.
Definition at line 91 of file ClusteringModel.h.
Referenced by shark::ClusteringModel< InputT, unsigned int >::numberOfParameters(), shark::ClusteringModel< InputT, unsigned int >::parameterVector(), shark::ClusteringModel< InputT, unsigned int >::read(), shark::ClusteringModel< InputT, unsigned int >::setParameterVector(), and shark::ClusteringModel< InputT, unsigned int >::write().