class GMTrainer

Trainer for GradientMachine.

Inheritance:


Public Methods

[more] GMTrainer(GradientMachine* machine_, DataSet* data_, Criterion* criterion_, Optimizer* optimizer_)
Take the machine_ to train, the train data_, the criterion_ to use, and the optimizer_ to use


Inherited from Trainer:

Public Methods

ovirtual void train(List* measurers)
ovirtual void test(List* measurers)
ovirtual void testExample(List* measurers, int t)
ovirtual void crossValidate(int k_fold, List* train_measurers, List* test_measurers, List* cross_valid_measurers=NULL)
ovirtual void loadFILE(FILE* file)
ovirtual void saveFILE(FILE* file)


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)
ovoid load(const char* filename)
ovoid save(const char* filename)


Documentation

Trainer for GradientMachine.

o GMTrainer(GradientMachine* machine_, DataSet* data_, Criterion* criterion_, Optimizer* optimizer_)
Take the machine_ to train, the train data_, the criterion_ to use, and the optimizer_ to use


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

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