class StochasticGradient

Stochastic Gradient Optimizer for GMTrainer

Inheritance:


Public Methods

[more] StochasticGradient()


Inherited from Optimizer:

Public Methods

ovirtual void train(List* measurers)
ovoid setMachine(GradientMachine* machine_)
ovoid setDataSet(DataSet* data_)
ovoid setCriterion(Criterion* criterion_)


Inherited from Object:

Public Methods

ovirtual void init()
ovoid addOption(const char* name, int size, void* ptr, const char* help="", bool is_allowed_after_init=false)
ovoid addIOption(const char* name, int* ptr, int init_value, const char* help="", bool is_allowed_after_init=false)
ovoid addROption(const char* name, real* ptr, real init_value, const char* help="", bool is_allowed_after_init=false)
ovoid addBOption(const char* name, bool* ptr, bool init_value, const char* help="", bool is_allowed_after_init=false)
ovoid setOption(const char* name, void* ptr)
ovoid setIOption(const char* name, int option)
ovoid setROption(const char* name, real option)
ovoid setBOption(const char* name, bool option)
ovirtual void loadFILE(FILE* file)
ovirtual void saveFILE(FILE* file)
ovoid load(const char* filename)
ovoid save(const char* filename)


Documentation

Stochastic Gradient Optimizer for GMTrainer

Options:
"end accuracy" real end accuracy [0.0001]
"learning rate" real learning rate [0.01]
"learning rate decay" real learning rate decay [0]
"max iter" int maximum number of iterations [-1]

o StochasticGradient()


This class has no child classes.
Author:
Ronan Collobert (collober@iro.umontreal.ca)
See Also:
GMTrainer

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