Package elki.application.greedyensemble
Class GreedyEnsembleExperiment.Par
- java.lang.Object
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- elki.application.AbstractApplication.Par
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- elki.application.greedyensemble.GreedyEnsembleExperiment.Par
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- All Implemented Interfaces:
Parameterizer
- Enclosing class:
- GreedyEnsembleExperiment
public static class GreedyEnsembleExperiment.Par extends AbstractApplication.Par
Parameterization class.- Author:
- Erich Schubert
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Field Summary
Fields Modifier and Type Field Description (package private) GreedyEnsembleExperiment.Distance
distance
Distance in use.static OptionID
DISTANCE_ID
Similarity measure(package private) InputStep
inputstep
Data source.(package private) ScalingFunction
prescaling
Outlier scaling to apply during preprocessing.static OptionID
PRESCALING_ID
Scaling to apply to input scores.(package private) double
rate
Expected rate of outliersstatic OptionID
RATE_ID
Expected rate of outliers(package private) ScalingFunction
scaling
Outlier scaling to apply to constructed ensembles.static OptionID
SCALING_ID
Scaling to apply to ensemble scores.(package private) EnsembleVoting
voting
Ensemble voting method.static OptionID
VOTING_ID
Ensemble voting function.-
Fields inherited from class elki.application.AbstractApplication.Par
DATABASE_ID, DEBUG_ID, DESCRIPTION_ID, HELP_ID, HELP_LONG_ID, INPUT_ID, OUTPUT_ID, VERBOSE_ID
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Constructor Summary
Constructors Constructor Description Par()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
configure(Parameterization config)
Configure the class.GreedyEnsembleExperiment
make()
Make an instance after successful configuration.-
Methods inherited from class elki.application.AbstractApplication.Par
applyLoggingLevels, getParameterInputFile, getParameterInputFile, getParameterOutputFile, getParameterOutputFile, parseDebugParameter, parseVerbose
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Field Detail
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RATE_ID
public static final OptionID RATE_ID
Expected rate of outliers
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VOTING_ID
public static final OptionID VOTING_ID
Ensemble voting function.
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PRESCALING_ID
public static final OptionID PRESCALING_ID
Scaling to apply to input scores.
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SCALING_ID
public static final OptionID SCALING_ID
Scaling to apply to ensemble scores.
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DISTANCE_ID
public static final OptionID DISTANCE_ID
Similarity measure
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inputstep
InputStep inputstep
Data source.
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voting
EnsembleVoting voting
Ensemble voting method.
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distance
GreedyEnsembleExperiment.Distance distance
Distance in use.
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prescaling
ScalingFunction prescaling
Outlier scaling to apply during preprocessing.
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scaling
ScalingFunction scaling
Outlier scaling to apply to constructed ensembles.
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rate
double rate
Expected rate of outliers
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Method Detail
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configure
public void configure(Parameterization config)
Description copied from interface:Parameterizer
Configure the class.Note: the status is collected by the parameterization object, so that multiple errors may arise and be reported in one run.
- Parameters:
config
- Parameterization
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make
public GreedyEnsembleExperiment make()
Description copied from interface:Parameterizer
Make an instance after successful configuration.Note: your class should return the exact type, only this very broad interface should use
Object
as return type.- Specified by:
make
in interfaceParameterizer
- Specified by:
make
in classAbstractApplication.Par
- Returns:
- a new instance
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