class WeightedSumMachine

Weighted-sum machine.

Inheritance:

Public Fields

int n_outputs

Output frame size

Trainer** trainers

The trainers used in the combination

MeasurerList** trainers_measurers

The corresponding measurers

int n_trainers

The number of trainers in the combination

int n_trainers_trained

The number of trainers that have been already trained.

real* weights

The weights of the combination

bool weights_is_allocated

True if the weights aren't given by the user, false otherwise

Public Methods

WeightedSumMachine(Trainer** trainer_, int n_trainers_, MeasurerList** trainers_measurers, real* weights_=NULL)

trainers_measurers is an array which possibly specify the measurers which should be given to the corresponding trainer when training.

Inherited from Machine:

Public Fields

Sequence* outputs

Public Methods

virtual void forward(Sequence* sequence)

virtual void reset()

virtual void setDataSet(DataSet* dataset_)

Inherited from Object:

Public Fields

Allocator* allocator

Public Methods

void addOption(const char* name, int size, void* ptr, const char* help="")

void addIOption(const char* name, int* ptr, int init_value, const char* help="")

void addROption(const char* name, real* ptr, real init_value, const char* help="")

void addBOption(const char* name, bool* ptr, bool init_value, const char* help="")

void addOOption(const char* name, Object** ptr, Object* init_value, const char* help="")

void setOption(const char* name, void* ptr)

void setIOption(const char* name, int option)

void setROption(const char* name, real option)

void setBOption(const char* name, bool option)

void setOOption(const char* name, Object* option)

virtual void loadXFile(XFile* file)

virtual void saveXFile(XFile* file)

void load(const char* filename)

void save(const char* filename)

void* operator new(size_t size, Allocator* allocator_=NULL)

void* operator new(size_t size, Allocator* allocator_, void* ptr_)

void operator delete(void* ptr)

Documentation

Weighted-sum machine. This class contains a series of Trainers, and its forward method simply performs the average of the output of each machine associated to the trainer on the same input.

int n_outputs

Output frame size

Trainer** trainers

The trainers used in the combination

MeasurerList** trainers_measurers

The corresponding measurers

int n_trainers

The number of trainers in the combination

int n_trainers_trained

The number of trainers that have been already trained. After the initialization, it's zero. Note that the forward method depends on this value. (only the first n_trainers_trained trainers are used)

real* weights

The weights of the combination

bool weights_is_allocated

True if the weights aren't given by the user, false otherwise

WeightedSumMachine(Trainer** trainer_, int n_trainers_, MeasurerList** trainers_measurers, real* weights_=NULL)

trainers_measurers is an array which possibly specify the measurers which should be given to the corresponding trainer when training. If weights_ isn't specified, weights are setted to zero.

This class has no child classes.

Author:

Ronan Collobert (collober@idiap.ch)

See Also:

Bagging
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