tops::ProbabilisticModelCreator Class Reference

Represents an algorithm to create a probabilistic model. More...

#include <ProbabilisticModelCreator.hpp>

Inheritance diagram for tops::ProbabilisticModelCreator:

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 > &sample_set, double &loglikelihood, int &sample_size) const
	Creates the model and returns the loglikelihood of the training set.
virtual ProbabilisticModelPtr	create (ProbabilisticModelParameters &parameters, const std::map< std::string, ProbabilisticModelPtr > &models) 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

Represents an algorithm to create a probabilistic model.

Definition at line 37 of file ProbabilisticModelCreator.hpp.

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Member Function Documentation

virtual ProbabilisticModelPtr tops::ProbabilisticModelCreator::create

(

ProbabilisticModelParameters &

parameters

)

const [inline, virtual]

Creates a probabilistic model.

Parameters:

parameters

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

Reimplemented in tops::AkaikeInformationCriteria, tops::BayesianInformationCriteria, tops::TrainDiscreteIIDModel, tops::TrainFixedLengthMarkovChain, tops::TrainHMMBaumWelch, tops::TrainInterpolatedMarkovChain, tops::TrainInterpolatedPhasedMarkovChain, tops::TrainPhasedMarkovChain, tops::TrainPhasedMarkovChainContextAlgorithm, tops::TrainPHMMBaumWelch, tops::TrainSimilarityBasedSequenceWeighting, tops::TrainVariableLengthInhomogeneousMarkovChain, tops::GeneralizedHiddenMarkovModelCreator, tops::TrainWeightArrayModel, tops::DiscreteIIDModelCreator, tops::PairHiddenMarkovModelCreator, tops::SmoothedHistogramBurge, tops::SmoothedHistogramKernelDensity, tops::SmoothedHistogramStanke, tops::TrainGHMMTransitionsCreator, tops::TrainVariableLengthMarkovChain, tops::VariableLengthMarkovChainCreator, tops::HiddenMarkovModelCreator, tops::InhomogeneousMarkovChainCreator, tops::MultipleSequentialModelCreator, tops::SimilarityBasedSequenceWeightingCreator, tops::TargetModelCreator, and tops::BernoulliModelCreator.

Definition at line 43 of file ProbabilisticModelCreator.hpp.

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

• ProbabilisticModelCreator.hpp