de.lmu.ifi.dbs.elki.algorithm
Class DependencyDerivator.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>>
java.lang.Object
de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer
de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<V,D>
de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer<V,D>
- All Implemented Interfaces:
- Parameterizer
- Enclosing class:
- DependencyDerivator<V extends NumberVector<V,?>,D extends Distance<D>>
public static class DependencyDerivator.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>>
- extends AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<V,D>
Parameterization class.
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
outputAccuracy
protected int outputAccuracy
sampleSize
protected int sampleSize
randomSample
protected boolean randomSample
pca
protected PCAFilteredRunner<V extends NumberVector<V,?>> pca
DependencyDerivator.Parameterizer
public DependencyDerivator.Parameterizer()
makeOptions
protected void makeOptions(Parameterization config)
- Description copied from class:
AbstractParameterizer
- Add all options.
ALWAYS call super.makeOptions(config), unless you have a strong reason
to do otherwise!
- Overrides:
makeOptions
in class AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>>
- Parameters:
config
- Parameterization to add options to.
configRandomSampleFlag
public void configRandomSampleFlag(Parameterization config)
configSampleSize
public void configSampleSize(Parameterization config)
configAccuracy
public void configAccuracy(Parameterization config)
makeInstance
protected DependencyDerivator<V,D> makeInstance()
- Description copied from class:
AbstractParameterizer
- Make an instance after successful configuration.
- Specified by:
makeInstance
in class AbstractParameterizer
- Returns:
- instance