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java.lang.Objectde.jstacs.parameters.ParameterSet
de.jstacs.classifier.assessment.ClassifierAssessmentAssessParameterSet
de.jstacs.classifier.assessment.RepeatedSubSamplingAssessParameterSet
public class RepeatedSubSamplingAssessParameterSet
This class implements a ClassifierAssessmentAssessParameterSet
that must be used
to call method assess()
of a RepatedSubSamplingExperiment
.
It contains user-specific parameters necessary for a run of a RepeatedSubSamplingExperiment
.
Nested Class Summary |
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Nested classes/interfaces inherited from class de.jstacs.parameters.ParameterSet |
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ParameterSet.ParameterList |
Field Summary |
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Fields inherited from class de.jstacs.parameters.ParameterSet |
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alternativeInstanceClass, errorMessage, parameters, parent, ranged |
Constructor Summary | |
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RepeatedSubSamplingAssessParameterSet()
inherited from ClassifierAssessmentAssessParameterSet |
protected |
RepeatedSubSamplingAssessParameterSet(Class alternativeInstanceClass)
inherited from ClassifierAssessmentAssessParameterSet |
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RepeatedSubSamplingAssessParameterSet(int elementLength,
boolean exceptionIfMPNotComputable,
int repeats,
int[] trainNumbers,
int[] testNumbers)
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protected |
RepeatedSubSamplingAssessParameterSet(StringBuffer representation)
inherited from ClassifierAssessmentAssessParameterSet |
Method Summary | |
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Collection<Result> |
getAnnotation()
|
String |
getInstanceComment()
Returns a comment (a textual description) of the class that can be constructed using this ParameterSet . |
String |
getInstanceName()
Returns the name of an instance of the class that can be constructed using this ParameterSet . |
int |
getRepeats()
|
int[] |
getTrain_TestNumbers(boolean train_case)
|
protected void |
initializeMyParametersArrayList()
Initializes the list of Parameter s in this ParameterSet . |
protected void |
loadParameters()
Loads the parameters for this ParameterSet . |
Methods inherited from class de.jstacs.classifier.assessment.ClassifierAssessmentAssessParameterSet |
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getAllClassifierAssessmentAssessParameterSets, getElementLength, getExceptionIfMPNotComputable |
Methods inherited from class de.jstacs.parameters.ParameterSet |
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clone, fromXML, getErrorMessage, getId, getInstance, getInstanceClass, getNumberOfParameters, getNumberOfValues, getParameterAt, getParent, hasDefaultOrIsSet, initParameterList, initParameterList, isAtomic, isRanged, makeRanged, next, parametersLoaded, propagateId, recieveId, replaceParametersWithRangedInstance, reset, resetToFirst, setAlternativeInstanceClass, setParent, simplify, toXML, valuesToString |
Methods inherited from class java.lang.Object |
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equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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protected RepeatedSubSamplingAssessParameterSet(Class alternativeInstanceClass)
ClassifierAssessmentAssessParameterSet
public RepeatedSubSamplingAssessParameterSet() throws UnsupportedOperationException
ClassifierAssessmentAssessParameterSet
UnsupportedOperationException
protected RepeatedSubSamplingAssessParameterSet(StringBuffer representation) throws NonParsableException
ClassifierAssessmentAssessParameterSet
NonParsableException
public RepeatedSubSamplingAssessParameterSet(int elementLength, boolean exceptionIfMPNotComputable, int repeats, int[] trainNumbers, int[] testNumbers) throws SimpleParameter.IllegalValueException
elementLength
- defines the length of elements (sequences) the classifiers
to be assessed are able to classifyexceptionIfMPNotComputable
- a RepeatedSubSamplingAssessParameterSet
is used
in combination with an MeasureParameters
-object
to call assess
-methods of RepeatedSubSamplingExperiment
s.
If exceptionIfMPNotComputable=true
then an expection is thrown
in case of a selected measure-parameters that could not be computed.repeats
- the number of repeates of each iteration
(subsample test- and train-data-sets from user-supplied data,
train classifiers using train-data-sets and test them using test-data-sets)
of that RepeatedHoldOutExperiment
this
RepatedHoldOutAssessParameterSet
is used withtrainNumbers
- an array containing for each class (the classifiers to be assessed are
capable to distinguish) the number of elements the subsampled
train-data-sets should containtestNumbers
- an array containing for each class (the classifiers to be assessed are
capable to distinguish) the number of elements the subsampled
test-data-sets should contain
SimpleParameter.IllegalValueException
- is thrown in case of out-of-range or invalid given parametersMethod Detail |
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protected void initializeMyParametersArrayList()
ClassifierAssessmentAssessParameterSet
Parameter
s in this ParameterSet
.
initializeMyParametersArrayList
in class ClassifierAssessmentAssessParameterSet
protected void loadParameters() throws Exception
ParameterSet
ParameterSet
. This is in
most cases done by simply creating a new ArrayList<Parameter>
for the
field parameters/code>
and filling it with instances of subclasses of Parameter
- Overrides:
loadParameters
in class ClassifierAssessmentAssessParameterSet
- Throws:
Exception
- an Exception
is thrown if the parameters could not be loaded- See Also:
ParameterSet.parameters
,
Parameter
public String getInstanceName()
ParameterSet
ParameterSet
.
getInstanceName
in class ClassifierAssessmentAssessParameterSet
public String getInstanceComment()
ParameterSet
ParameterSet
.
getInstanceComment
in class ClassifierAssessmentAssessParameterSet
public int getRepeats()
RepatedSubSamplingAssessParameterSet
(repeats defines how many iterations (train and test classifiers)
of that RepeatedSubSamplingExperiment
this RepeatedSubSamplingAssessParameterSet
is used with are performed)public int[] getTrain_TestNumbers(boolean train_case)
train_case
- if true then (train | test)=train else =test
public Collection<Result> getAnnotation()
getAnnotation
in class ClassifierAssessmentAssessParameterSet
ClassifierAssessmentAssessParameterSet
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