shark::SigmoidFitRpropNLL Class Reference
Optimizes the parameters of a sigmoid to fit a validation dataset via backpropagation on the negative log-likelihood. More...
#include <shark/Algorithms/Trainers/SigmoidFit.h>
Inheritance diagram for shark::SigmoidFitRpropNLL:
Public Member Functions | |
| SHARK_EXPORT_SYMBOL | SigmoidFitRpropNLL (unsigned int iters=100) |
| std::string | name () const |
| From INameable: return the class name. More... | |
| SHARK_EXPORT_SYMBOL void | train (SigmoidModel &model, LabeledData< RealVector, unsigned int > const &dataset) |
| 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 backpropagation on the negative log-likelihood.
- The SigmoidFitPlatt class implements a non-iterative optimizer, despite the optimization task and optimizer being iterative in nature. This class simply relies on a user-definable number of Rprop optimization steps to adapt the sigmoid parameters.
Definition at line 54 of file SigmoidFit.h.
Constructor & Destructor Documentation
◆ SigmoidFitRpropNLL()
| SHARK_EXPORT_SYMBOL shark::SigmoidFitRpropNLL::SigmoidFitRpropNLL | ( | unsigned int | iters = 100 | ) |
Member Function Documentation
◆ name()
|
inlinevirtual |
From INameable: return the class name.
Reimplemented from shark::INameable.
Definition at line 60 of file SigmoidFit.h.
References SHARK_EXPORT_SYMBOL, and train().
◆ train()
| SHARK_EXPORT_SYMBOL void shark::SigmoidFitRpropNLL::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