tops::TrainInterpolatedMarkovChain Class Reference

Creates a fixed length markov chain. More...

#include <TrainInterpolatedMarkovChain.hpp>

Inheritance diagram for tops::TrainInterpolatedMarkovChain:

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.

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Detailed Description

Creates a fixed length markov chain.

Definition at line 38 of file TrainInterpolatedMarkovChain.hpp.

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Member Function Documentation

ProbabilisticModelPtr tops::TrainInterpolatedMarkovChain::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 105 of file TrainInterpolatedMarkovChain.cpp.

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

• TrainInterpolatedMarkovChain.hpp
• TrainInterpolatedMarkovChain.cpp