class Criterion

Criterion class for StochasticGradient.

Inheritance:

Public Fields

DataSet* data

DataSet used to compute the error

Public Methods

Criterion(int n_inputs_, int n_params_=0)

virtual void setDataSet(DataSet* data_)

Set data to data_.

Inherited from GradientMachine:

Public Fields

int n_inputs

int n_outputs

Parameters* params

Parameters* der_params

Sequence* beta

Public Methods

virtual void iterInitialize()

virtual void forward(Sequence* inputs)

virtual void backward(Sequence* inputs, Sequence* alpha)

virtual void setPartialBackprop(bool flag=true)

virtual void frameForward(int t, real* f_inputs, real* f_outputs)

virtual void frameBackward(int t, real* f_inputs, real* beta_, real* f_outputs, real* alpha_)

virtual void loadXFile(XFile* file)

virtual void saveXFile(XFile* file)

Inherited from Machine:

Public Fields

Sequence* outputs

Public Methods

virtual void reset()

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)

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

Criterion class for StochasticGradient. A Criterion computes an error with its inputs and a dataset data.

It knows how to backpropagate this error.

A Criterion shouldn't be connected to the inputs of another GradientMachine. ne doit pas se connecter sur l'entree d'une

By default, the number of outputs for a Criterion is fixed to one. It must contain the error: This one is used by the StochasticGradient for the stopping criterion.

DataSet* data

DataSet used to compute the error

Criterion(int n_inputs_, int n_params_=0)

virtual void setDataSet(DataSet* data_)

Set data to data_. The criterion should be able to react to this function.

Direct child classes:

WeightedMSECriterion
NLLCriterion
MultiCriterion
MSECriterion
ClassNLLCriterion

Author:

Ronan Collobert (collober@idiap.ch)

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