de.jstacs.classifier.scoringFunctionBased.gendismix
Class GenDisMixClassifierParameterSet
java.lang.Object
de.jstacs.parameters.ParameterSet
de.jstacs.parameters.InstanceParameterSet
de.jstacs.parameters.SequenceScoringParameterSet
de.jstacs.classifier.scoringFunctionBased.ScoreClassifierParameterSet
de.jstacs.classifier.scoringFunctionBased.gendismix.GenDisMixClassifierParameterSet
- All Implemented Interfaces:
- GalaxyConvertible, RangeIterator, Storable, Cloneable
public class GenDisMixClassifierParameterSet
- extends ScoreClassifierParameterSet
This class contains the parameters for the GenDisMixClassifier.
- Author:
- Jan Grau, Jens Keilwagen
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Constructor Summary |
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GenDisMixClassifierParameterSet(AlphabetContainer alphabet,
int length,
byte algo,
double eps,
double lineps,
double startD,
boolean free,
OptimizableFunction.KindOfParameter kind,
boolean norm,
int threads)
The default constructor that constructs a new
GenDisMixClassifierParameterSet. |
protected |
GenDisMixClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass,
AlphabetContainer alphabet,
int length,
byte algo,
double eps,
double lineps,
double startD,
boolean free,
OptimizableFunction.KindOfParameter kind,
boolean norm,
int threads)
The default constructor that constructs a new
GenDisMixClassifierParameterSet. |
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GenDisMixClassifierParameterSet(StringBuffer xml)
The standard constructor for the interface Storable. |
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Method Summary |
int |
getNumberOfThreads()
This method returns the number of threads that should be used during optimization. |
protected void |
loadParameters()
Loads the parameters for this ParameterSet. |
void |
setNumberOfThreads(int threads)
This method set the number of threads used during optimization. |
boolean |
shouldBeNormalized()
This method indicates if a normalization shall be used while
optimization. |
| Methods inherited from class de.jstacs.parameters.SequenceScoringParameterSet |
clone, equals, fromXML, getAlphabetContainer, getLength, getNumberOfParameters, getParameterAt, hasDefaultOrIsSet, replaceParametersWithRangedInstance, reset, toXML |
| Methods inherited from class de.jstacs.parameters.ParameterSet |
fromGalaxy, getErrorMessage, getId, getIndex, getNumberOfValues, getParent, initParameterList, initParameterList, isAtomic, isRanged, makeRanged, next, parametersLoaded, propagateId, recieveId, resetToFirst, setParent, simplify, toGalaxy, valuesToString |
GenDisMixClassifierParameterSet
public GenDisMixClassifierParameterSet(StringBuffer xml)
throws NonParsableException
- The standard constructor for the interface
Storable.
Constructs a GenDisMixClassifierParameterSet out of its XML
representation.
- Parameters:
xml - the XML representation as StringBuffer
- Throws:
NonParsableException - if the GenDisMixClassifierParameterSet could not be
reconstructed out of the XML representation (the
StringBuffer could not be parsed)- See Also:
ScoreClassifierParameterSet.ScoreClassifierParameterSet(StringBuffer),
Storable
GenDisMixClassifierParameterSet
public GenDisMixClassifierParameterSet(AlphabetContainer alphabet,
int length,
byte algo,
double eps,
double lineps,
double startD,
boolean free,
OptimizableFunction.KindOfParameter kind,
boolean norm,
int threads)
throws Exception
- The default constructor that constructs a new
GenDisMixClassifierParameterSet.
- Parameters:
alphabet - the AlphabetContainerlength - the length of the sequencesalgo - the algorithm that shall be used for optimizationeps - the epsilon for stopping the optimizationlineps - the epsilon for stopping the line searchstartD - the start distance for the line searchfree - the switch for using only the free or all parameters in a
ScoringFunctionkind - indicates the kind of class parameter initializationnorm - the switch for using a normalization while optimizationthreads - the NumberFormatException of threads used during an optimization
- Throws:
Exception - if something went wrong- See Also:
OptimizableFunction.KindOfParameter,
GenDisMixClassifierParameterSet(Class,
de.jstacs.data.AlphabetContainer, int, byte, double, double, double, boolean,
de.jstacs.classifier.scoringFunctionBased.OptimizableFunction.KindOfParameter, boolean,int)
GenDisMixClassifierParameterSet
protected GenDisMixClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass,
AlphabetContainer alphabet,
int length,
byte algo,
double eps,
double lineps,
double startD,
boolean free,
OptimizableFunction.KindOfParameter kind,
boolean norm,
int threads)
throws Exception
- The default constructor that constructs a new
GenDisMixClassifierParameterSet.
- Parameters:
instanceClass - the class of the instancealphabet - the AlphabetContainerlength - the length of the sequencesalgo - the algorithm that shall be used for optimizationeps - the epsilon for stopping the optimizationlineps - the epsilon for stopping the line searchstartD - the start distance for the line searchfree - the switch for using only the free or all parameters in a
ScoringFunctionkind - indicates the kind of class parameter initializationnorm - the switch for using a normalization while optimizationthreads - the NumberFormatException of threads used during an optimization
- Throws:
Exception - if something went wrong- See Also:
OptimizableFunction.KindOfParameter,
ScoreClassifierParameterSet.ScoreClassifierParameterSet(Class,
de.jstacs.data.AlphabetContainer, int, byte, double, double, double, boolean,
de.jstacs.classifier.scoringFunctionBased.OptimizableFunction.KindOfParameter)
loadParameters
protected void loadParameters()
throws Exception
- Description copied from class:
ParameterSet
- Loads the parameters for this
ParameterSet. This is in most cases
done by calling ParameterSet.initParameterList() or
ParameterSet.initParameterList(int) to initialize
ParameterSet.parameters and afterwards filling
ParameterSet.parameters with instances of subclasses of
Parameter.
- Overrides:
loadParameters in class ScoreClassifierParameterSet
- Throws:
Exception - if the parameters could not be loaded- See Also:
Parameter,
ParameterSet.parameters,
ParameterSet.initParameterList(),
ParameterSet.initParameterList(int)
shouldBeNormalized
public boolean shouldBeNormalized()
- This method indicates if a normalization shall be used while
optimization. The normalization is done through division by the number of
sequences.
- Returns:
true if a normalization shall be used while
optimization, false otherwise
getNumberOfThreads
public int getNumberOfThreads()
- This method returns the number of threads that should be used during optimization.
- Returns:
- the number of threads that should be used during optimization
setNumberOfThreads
public void setNumberOfThreads(int threads)
throws SimpleParameter.IllegalValueException
- This method set the number of threads used during optimization.
- Parameters:
threads - the number of threads used during optimization
- Throws:
SimpleParameter.IllegalValueException - if the value could not be set