shark::AbstractUnsupervisedTrainer< Model > Class Template Referenceabstract
Superclass of unsupervised learning algorithms. More...
#include <shark/Algorithms/Trainers/AbstractTrainer.h>
Inheritance diagram for shark::AbstractUnsupervisedTrainer< Model >:
Public Types | |
| typedef Model | ModelType |
| typedef Model::InputType | InputType |
Public Member Functions | |
| virtual void | train (ModelType &model, const UnlabeledData< InputType > &inputset)=0 |
| Core of the Trainer interface. More... | |
| 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... | |
| 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 () | |
Detailed Description
template<class Model>
class shark::AbstractUnsupervisedTrainer< Model >
Superclass of unsupervised learning algorithms.
- AbstractUnsupervisedTrainer is the superclass of all unsupervised learning algorithms. It consists of a single virtual function to train the model.
- Note: Most learning algorithms of this type operate on a special model type, such as a linear model, a kernel expansion, or a nearest neighbor model. Thus, these algorithms should provide a specialized train method that accepts only this model type. The virtual train method should be overriden with a method that checks the type of the model and calls the specialized train method.
Definition at line 95 of file AbstractTrainer.h.
Member Typedef Documentation
◆ InputType
template<class Model>
| typedef Model::InputType shark::AbstractUnsupervisedTrainer< Model >::InputType |
Definition at line 99 of file AbstractTrainer.h.
◆ ModelType
template<class Model>
| typedef Model shark::AbstractUnsupervisedTrainer< Model >::ModelType |
Definition at line 98 of file AbstractTrainer.h.
Member Function Documentation
◆ train()
template<class Model>
|
pure virtual |
Core of the Trainer interface.
The documentation for this class was generated from the following file:
- include/shark/Algorithms/Trainers/AbstractTrainer.h