tops::TrainVariableLengthMarkovChain Class Reference

This class trains the Variable Length Markov Chain using the context algorithm. More...

#include <TrainVariableLengthMarkovChain.hpp>

Inheritance diagram for tops::TrainVariableLengthMarkovChain:

List of all members.

Public Member Functions
virtual ProbabilisticModelPtr	create (ProbabilisticModelParameters &parameters) const
	Creates a probabilistic model.
virtual ProbabilisticModelPtr	create (ProbabilisticModelParameters &parameters, double &loglikelihood, int &sample_size) const
	Creates the model and returns the loglikelihood of the training set.
virtual ProbabilisticModelPtr	create (ProbabilisticModelParameters &parameters, const std::vector< std::string > &training_set, double &loglikelihood, int &sample_size) const
	Creates the model and returns the loglikelihood of the training set.
virtual std::string	help () const
	Provides a help.

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Detailed Description

This class trains the Variable Length Markov Chain using the context algorithm.

Definition at line 38 of file TrainVariableLengthMarkovChain.hpp.

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Member Function Documentation

ProbabilisticModelPtr tops::TrainVariableLengthMarkovChain::create

(

ProbabilisticModelParameters &

parameters

)

const [virtual]

Creates a probabilistic model.

Parameters:

parameters

is a set of parameters that is utilized to build the model

Reimplemented from tops::ProbabilisticModelCreator.

Definition at line 38 of file TrainVariableLengthMarkovChain.cpp.

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The documentation for this class was generated from the following files:

• TrainVariableLengthMarkovChain.hpp
• TrainVariableLengthMarkovChain.cpp