shark::NormalizeComponentsWhitening Class Reference
Train a linear model to whiten the data. More...
#include <shark/Algorithms/Trainers/NormalizeComponentsWhitening.h>
Inheritance diagram for shark::NormalizeComponentsWhitening:
Public Member Functions | |
| SHARK_EXPORT_SYMBOL | NormalizeComponentsWhitening (double targetVariance=1.0) |
| SHARK_EXPORT_SYMBOL std::string | name () const |
| From INameable: return the class name. More... | |
| SHARK_EXPORT_SYMBOL void | train (ModelType &model, UnlabeledData< RealVector > const &input) |
| Public Member Functions inherited from shark::AbstractUnsupervisedTrainer< LinearModel< RealVector > > | |
| 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 () |
| 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::AbstractUnsupervisedTrainer< LinearModel< RealVector > > | |
| typedef LinearModel< RealVector > | ModelType |
| typedef LinearModel< RealVector > ::InputType | InputType |
Detailed Description
Train a linear model to whiten the data.
computes a linear model that normlizes the data to be 0 mean, a given target variance and covariance 0. By default the trainer makes the data unit variance, but the target variance can be changed as well.
Definition at line 51 of file NormalizeComponentsWhitening.h.
Constructor & Destructor Documentation
◆ NormalizeComponentsWhitening()
| SHARK_EXPORT_SYMBOL shark::NormalizeComponentsWhitening::NormalizeComponentsWhitening | ( | double | targetVariance = 1.0 | ) |
Member Function Documentation
◆ name()
|
virtual |
From INameable: return the class name.
Reimplemented from shark::INameable.
◆ train()
| SHARK_EXPORT_SYMBOL void shark::NormalizeComponentsWhitening::train | ( | ModelType & | model, |
| UnlabeledData< RealVector > const & | input | ||
| ) |
Referenced by main().
The documentation for this class was generated from the following file:
- include/shark/Algorithms/Trainers/NormalizeComponentsWhitening.h