shark::SigmoidFitPlatt Class Reference
Optimizes the parameters of a sigmoid to fit a validation dataset via Platt's method. More...
#include <shark/Algorithms/Trainers/SigmoidFit.h>
Inheritance diagram for shark::SigmoidFitPlatt:
Public Member Functions | |
| SHARK_EXPORT_SYMBOL void | train (SigmoidModel &model, LabeledData< RealVector, unsigned int > const &dataset) |
| std::string | name () const |
| From INameable: return the class name. More... | |
| Public Member Functions inherited from shark::AbstractTrainer< SigmoidModel, 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< SigmoidModel, unsigned int > | |
| typedef SigmoidModel | ModelType |
| typedef ModelType::InputType | InputType |
| typedef unsigned int | LabelType |
| typedef LabeledData< InputType, LabelType > | DatasetType |
Detailed Description
Optimizes the parameters of a sigmoid to fit a validation dataset via Platt's method.
- The SigmoidFitPlatt class implements a non-iterative optimizer, despite the optimization task and optimizer being iterative in nature. The algorithm corresponds to the one suggested by John Platt in 1999, and is almost literally taken from
Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods, Advances in Large Margin Classifiers, pp. 61-74, MIT Press, (1999).
The full paper can be downloaded from
http://www.research.microsoft.com/~jplatt
— pseudo-code is given in the paper.
Definition at line 85 of file SigmoidFit.h.
Member Function Documentation
◆ name()
|
inlinevirtual |
From INameable: return the class name.
Reimplemented from shark::INameable.
Definition at line 91 of file SigmoidFit.h.
◆ train()
| SHARK_EXPORT_SYMBOL void shark::SigmoidFitPlatt::train | ( | SigmoidModel & | model, |
| LabeledData< RealVector, unsigned int > const & | dataset | ||
| ) |
The documentation for this class was generated from the following file:
- include/shark/Algorithms/Trainers/SigmoidFit.h