This class is used to train any distribution using the Viterbi algorithm.
Inheritance:
Public Methods
-
ViterbiTrainer(Distribution* distribution_, SeqDataSet* data_)
- creates a Viterbi trainer given a distribution and a dataset
Public Fields
-
Distribution* distribution
-
SeqDataSet* sdata
-
real end_accuracy
-
int max_iter
Public Methods
-
virtual void decode(List* measurers)
Inherited from Trainer:
Public Methods
-
virtual void train(List* measurers)
-
virtual void test(List* measurers)
-
virtual void testExample(List* measurers, int t)
-
virtual void crossValidate(int k_fold, List* train_measurers, List* test_measurers, List* cross_valid_measurers=NULL)
-
virtual void loadFILE(FILE* file)
-
virtual void saveFILE(FILE* file)
Inherited from Object:
Public Methods
-
virtual void init()
-
void addOption(const char* name, int size, void* ptr, const char* help="", bool is_allowed_after_init=false)
-
void addIOption(const char* name, int* ptr, int init_value, const char* help="", bool is_allowed_after_init=false)
-
void addROption(const char* name, real* ptr, real init_value, const char* help="", bool is_allowed_after_init=false)
-
void addBOption(const char* name, bool* ptr, bool init_value, const char* help="", bool is_allowed_after_init=false)
-
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 load(const char* filename)
-
void 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.
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)
Alphabetic index HTML hierarchy of classes or Java
This page was generated with the help of DOC++.