class ViterbiTrainer

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

Inheritance:


Public Methods

[more] ViterbiTrainer(Distribution* distribution_, SeqDataSet* data_)
creates a Viterbi trainer given a distribution and a dataset


Inherited from EMTrainer:

Public Fields

oDistribution* distribution
oSeqDataSet* sdata
oreal end_accuracy
oint max_iter

Public Methods

ovirtual void decode(List* measurers)


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 Viterbi algorithm. This means that it is most useful for distributions over sequences, such as HMMs.

o ViterbiTrainer(Distribution* distribution_, SeqDataSet* data_)
creates a Viterbi trainer given a distribution and a dataset


This class has no child classes.
Author:
Samy Bengio (bengio@idiap.ch)

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