tops::TrainPhasedMarkovChainContextAlgorithm Class Reference

Train a Phased Markov Chain using the Context Algorithm. More...

#include <TrainPhasedMarkovChainContextAlgorithm.hpp>

Inheritance diagram for tops::TrainPhasedMarkovChainContextAlgorithm:

List of all members.

Public Member Functions
virtual ProbabilisticModelPtr	create (ProbabilisticModelParameters &parameters) const
	Creates a probability model.
virtual ProbabilisticModelPtr	create (ProbabilisticModelParameters &parameters, double &loglikelihood, int &sample_size) const
	Creates the model and returns the loglikelihood of the training set.
virtual std::string	help () const
	This method returns a help message.

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Detailed Description

Train a Phased Markov Chain using the Context Algorithm.

Definition at line 38 of file TrainPhasedMarkovChainContextAlgorithm.hpp.

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Member Function Documentation

ProbabilisticModelPtr tops::TrainPhasedMarkovChainContextAlgorithm::create

(

ProbabilisticModelParameters &

parameters

)

const [virtual]

Creates a probability model.

Parameters:

parameters

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

Reimplemented from tops::ProbabilisticModelCreator.

Definition at line 114 of file TrainPhasedMarkovChainContextAlgorithm.cpp.

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

• TrainPhasedMarkovChainContextAlgorithm.hpp
• TrainPhasedMarkovChainContextAlgorithm.cpp