Kernelized mean-classifier. More...
#include <shark/Algorithms/Trainers/KernelMeanClassifier.h>
Inheritance diagram for shark::KernelMeanClassifier< InputType >:
Public Member Functions | |
| KernelMeanClassifier (AbstractKernelFunction< InputType > *kernel) | |
| std::string | name () const |
| returns the name of the object More... | |
| void | train (KernelClassifier< InputType > &model, WeightedLabeledData< InputType, unsigned int > const &dataset) |
| Public Member Functions inherited from shark::AbstractWeightedTrainer< KernelClassifier< InputType >, unsigned int > | |
| virtual void | train (ModelType &model, WeightedDatasetType const &dataset)=0 |
| Executes the algorithm and trains a model on the given weighted data. More... | |
| virtual void | train (ModelType &model, DatasetType const &dataset) |
| Executes the algorithm and trains a model on the given unweighted data. More... | |
| Public Member Functions inherited from shark::INameable | |
| virtual | ~INameable () |
| Public Member Functions inherited from shark::ISerializable | |
| virtual | ~ISerializable () |
| Virtual d'tor. More... | |
| virtual void | read (InArchive &archive) |
| Read the component from the supplied archive. More... | |
| virtual void | write (OutArchive &archive) const |
| Write the component to the supplied archive. 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 () | |
Public Attributes | |
| AbstractKernelFunction< InputType > * | mpe_kernel |
Additional Inherited Members | |
| Public Types inherited from shark::AbstractWeightedTrainer< KernelClassifier< InputType >, unsigned int > | |
| typedef base_type::ModelType | ModelType |
| typedef base_type::InputType | InputType |
| typedef base_type::LabelType | LabelType |
| typedef base_type::DatasetType | DatasetType |
| typedef WeightedLabeledData< InputType, LabelType > | WeightedDatasetType |
| Public Types inherited from shark::AbstractTrainer< KernelClassifier< InputType >, unsigned int > | |
| typedef KernelClassifier< InputType > | ModelType |
| typedef ModelType::InputType | InputType |
| typedef unsigned int | LabelType |
| typedef LabeledData< InputType, LabelType > | DatasetType |
Detailed Description
template<class InputType>
class shark::KernelMeanClassifier< InputType >
Kernelized mean-classifier.
Computes the mean of the training data in feature space for each class and assigns a new data point to the class with the nearest mean. The trainer supports multi-class and weighted data
The resulting classifier is a kernel expansion as assigning the label with minimum distance (or maximum negative distance by convention for classifiers)
\[ max -1/2 ||\phi(x) - m_i||^2 = <\phi(x), m_i> - 1/2<m_i,m_i> \]
Definition at line 54 of file KernelMeanClassifier.h.
Constructor & Destructor Documentation
◆ KernelMeanClassifier()
|
inline |
Definition at line 56 of file KernelMeanClassifier.h.
Member Function Documentation
◆ name()
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inlinevirtual |
returns the name of the object
Reimplemented from shark::INameable.
Definition at line 58 of file KernelMeanClassifier.h.
References shark::KernelMeanClassifier< InputType >::train().
◆ train()
|
inline |
Definition at line 62 of file KernelMeanClassifier.h.
References shark::classWeight(), and SHARK_RUNTIME_CHECK.
Referenced by shark::KernelMeanClassifier< InputType >::name().
Member Data Documentation
◆ mpe_kernel
| AbstractKernelFunction<InputType>* shark::KernelMeanClassifier< InputType >::mpe_kernel |
Definition at line 103 of file KernelMeanClassifier.h.
The documentation for this class was generated from the following file:
- include/shark/Algorithms/Trainers/KernelMeanClassifier.h