class EMTrainer

This class is used to train any distribution using the EM algorithm.

Inheritance:


Public Fields

[more]Distribution* distribution
the distribution to train
[more]SeqDataSet* sdata
the training set is a SeqDataSet, since we are working with distributions
[more]real end_accuracy
the stopping criterion regarding the accuracy for EM
[more]int max_iter
the stopping criterion regarding the number of iterations for EM

Public Methods

[more] EMTrainer(Distribution* distribution_, SeqDataSet* data_)
[more]virtual void decode(List* measurers)
this method computes the most likely path into the distribution.


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

This class is used to train any distribution using the EM algorithm.

oDistribution* distribution
the distribution to train

oSeqDataSet* sdata
the training set is a SeqDataSet, since we are working with distributions

oreal end_accuracy
the stopping criterion regarding the accuracy for EM

oint max_iter
the stopping criterion regarding the number of iterations for EM

o EMTrainer(Distribution* distribution_, SeqDataSet* data_)

ovirtual void decode(List* measurers)
this method computes the most likely path into the distribution. mainly used for sequential distribution such as HMMs.


Direct child classes:
ViterbiTrainer
Author:
Samy Bengio (bengio@idiap.ch)

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