de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters
Class HomMMParameterSet
java.lang.Object
de.jstacs.parameters.ParameterSet
de.jstacs.parameters.InstanceParameterSet<T>
de.jstacs.parameters.SequenceScoringParameterSet<T>
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.DGTrainSMParameterSet
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters.HomogeneousTrainSMParameterSet
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters.HomMMParameterSet
- All Implemented Interfaces:
- GalaxyConvertible, Storable, Cloneable
public class HomMMParameterSet
- extends HomogeneousTrainSMParameterSet
This class implements a container for all parameters of a homogeneous Markov
model.
- Author:
- Jens Keilwagen
Methods inherited from class de.jstacs.parameters.ParameterSet |
fromGalaxy, getAllParameterNames, getComment, getComment, getErrorMessage, getIndex, getName, getName, getParameterForName, getParent, initParameterList, initParameterList, isAtomic, isComparable, parametersLoaded, setParent, toGalaxy |
HomMMParameterSet
public HomMMParameterSet(StringBuffer s)
throws NonParsableException
- The standard constructor for the interface
Storable
.
Creates a new HomMMParameterSet
out of its XML representation.
- Parameters:
s
- the XML representation as StringBuffer
- Throws:
NonParsableException
- if the HomMMParameterSet
could not be reconstructed
out of the XML representation (the StringBuffer
could
not be parsed)- See Also:
Storable
,
HomogeneousTrainSMParameterSet.HomogeneousTrainSMParameterSet(StringBuffer)
HomMMParameterSet
public HomMMParameterSet()
- An empty constructor. Creates a new
HomMMParameterSet
.
HomMMParameterSet
public HomMMParameterSet(AlphabetContainer alphabet,
double ess,
String description,
byte order)
throws Exception
- Creates a new
HomMMParameterSet
with AlphabetContainer
,
ess (equivalent sample size), description and order
of the homogeneous Markov model.
- Parameters:
alphabet
- the AlphabetContainer
ess
- the ess (equivalent sample size)description
- the descriptionorder
- the order of the Markov model
- Throws:
Exception
- if something went wrong- See Also:
HomogeneousTrainSMParameterSet.HomogeneousTrainSMParameterSet(Class,
AlphabetContainer, double, String, byte)
getInstanceComment
public String getInstanceComment()
- Description copied from class:
InstanceParameterSet
- Returns a comment (a textual description) of the class that can be
constructed using this
ParameterSet
.
- Specified by:
getInstanceComment
in class InstanceParameterSet
- Returns:
- the comment of the class