Package adams.flow.container
Class WekaClusterEvaluationContainer
- java.lang.Object
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- adams.flow.container.AbstractContainer
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- adams.flow.container.WekaClusterEvaluationContainer
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- All Implemented Interfaces:
CloneHandler<Container>
,GlobalInfoSupporter
,SpreadSheetSupporter
,Container
,Serializable
public class WekaClusterEvaluationContainer extends AbstractContainer
A container forClusterEvaluation
objects, with optional trained model.- Version:
- $Revision$
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description static String
VALUE_EVALUATION
the identifier for the ClusterEvaluation.static String
VALUE_LOGLIKELIHOOD
the identifier for the log-likelihood.static String
VALUE_MODEL
the identifier for the Model.-
Fields inherited from class adams.flow.container.AbstractContainer
m_AdditionalNames, m_Help, m_Values
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Constructor Summary
Constructors Constructor Description WekaClusterEvaluationContainer()
Initializes the container.WekaClusterEvaluationContainer(double logLikelihood)
Initializes the container with the log-likelihood.WekaClusterEvaluationContainer(weka.clusterers.ClusterEvaluation eval)
Initializes the container.WekaClusterEvaluationContainer(weka.clusterers.ClusterEvaluation eval, Object model)
Initializes the container.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected void
initHelp()
Initializes the help strings.boolean
isValid()
Checks whether the setup of the container is valid.Iterator<String>
names()
Returns all value names that can be used (theoretically).-
Methods inherited from class adams.flow.container.AbstractContainer
addAdditionalName, addHelp, addHelp, addHelp, checkDefaultConstructor, getClone, getHelp, getValue, getValue, globalInfo, hasHelp, hasValue, isValidName, removeAdditionalName, setValue, store, stored, toSpreadSheet, toString
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Field Detail
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VALUE_EVALUATION
public static final String VALUE_EVALUATION
the identifier for the ClusterEvaluation.- See Also:
- Constant Field Values
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VALUE_MODEL
public static final String VALUE_MODEL
the identifier for the Model.- See Also:
- Constant Field Values
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VALUE_LOGLIKELIHOOD
public static final String VALUE_LOGLIKELIHOOD
the identifier for the log-likelihood.- See Also:
- Constant Field Values
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Constructor Detail
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WekaClusterEvaluationContainer
public WekaClusterEvaluationContainer()
Initializes the container.
Only used for generating help information.
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WekaClusterEvaluationContainer
public WekaClusterEvaluationContainer(weka.clusterers.ClusterEvaluation eval)
Initializes the container.- Parameters:
eval
- the evaluation to use
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WekaClusterEvaluationContainer
public WekaClusterEvaluationContainer(weka.clusterers.ClusterEvaluation eval, Object model)
Initializes the container.- Parameters:
eval
- the evaluation to usemodel
- the model to use
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WekaClusterEvaluationContainer
public WekaClusterEvaluationContainer(double logLikelihood)
Initializes the container with the log-likelihood.- Parameters:
logLikelihood
- the log-likelihood
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Method Detail
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initHelp
protected void initHelp()
Initializes the help strings.- Overrides:
initHelp
in classAbstractContainer
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names
public Iterator<String> names()
Returns all value names that can be used (theoretically).- Specified by:
names
in interfaceContainer
- Specified by:
names
in classAbstractContainer
- Returns:
- enumeration over all possible value names
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isValid
public boolean isValid()
Checks whether the setup of the container is valid.- Specified by:
isValid
in interfaceContainer
- Specified by:
isValid
in classAbstractContainer
- Returns:
- true if all the necessary values are available
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