shark::Perceptron< InputType > Class Template Reference
Perceptron online learning algorithm. More...
#include <shark/Algorithms/Trainers/Perceptron.h>
Inheritance diagram for shark::Perceptron< InputType >:
Public Member Functions | |
| Perceptron (AbstractKernelFunction< InputType > *kernel, std::size_t maxTimesPattern=10000) | |
| Constructor. More... | |
| std::string | name () const |
| From INameable: return the class name. More... | |
| void | train (KernelClassifier< InputType > &classifier, LabeledData< InputType, unsigned int > const &dataset) |
| Public Member Functions inherited from shark::AbstractTrainer< KernelClassifier< InputType >, unsigned int > | |
| virtual void | train (ModelType &model, DatasetType const &dataset)=0 |
| Core of the Trainer interface. 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 () | |
Additional Inherited Members | |
| 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::Perceptron< InputType >
Perceptron online learning algorithm.
Definition at line 45 of file Perceptron.h.
Constructor & Destructor Documentation
◆ Perceptron()
template<class InputType >
|
inline |
Constructor.
- Parameters
-
kernel is the (Mercer) kernel function. maxTimesPattern defines the maximum number of times the data is processed before the algorithms stopps.
Definition at line 52 of file Perceptron.h.
Member Function Documentation
◆ name()
template<class InputType >
|
inlinevirtual |
From INameable: return the class name.
Reimplemented from shark::INameable.
Definition at line 56 of file Perceptron.h.
◆ train()
template<class InputType >
|
inline |
Definition at line 59 of file Perceptron.h.
References shark::KernelExpansion< InputType >::alpha(), shark::Classifier< KernelExpansion< InputType > >::decisionFunction(), shark::LabeledData< InputT, LabelT >::element(), shark::LabeledData< InputT, LabelT >::inputs(), shark::LabeledData< InputT, LabelT >::numberOfElements(), and shark::KernelExpansion< InputType >::setStructure().
The documentation for this class was generated from the following file:
- include/shark/Algorithms/Trainers/Perceptron.h