tops::TrainSimilarityBasedSequenceWeighting Class Reference

Creates a similarity based sequence weighting model. More...

#include <TrainSimilarityBasedSequenceWeighting.hpp>

Inheritance diagram for tops::TrainSimilarityBasedSequenceWeighting:

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 similarity based sequence weighting model.

Definition at line 38 of file TrainSimilarityBasedSequenceWeighting.hpp.

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Member Function Documentation

ProbabilisticModelPtr tops::TrainSimilarityBasedSequenceWeighting::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 187 of file TrainSimilarityBasedSequenceWeighting.cpp.

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

• TrainSimilarityBasedSequenceWeighting.hpp
• TrainSimilarityBasedSequenceWeighting.cpp