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WekaNumericAttribute
if the given value can be parsed as double.
WekaStringAttribute
if the parameter string is set to true.
DistanceBasedAlgorithm.getAttributeSettings()
and adds to the returned attribute settings the attribute settings of
the DeLiClu.knnJoin.
DistanceBasedAlgorithm.getAttributeSettings()
and adds to the returned attribute settings the attribute settings of
the DependencyDerivator.pca.
AbstractParameterizable.getAttributeSettings()
and adds to the returned attribute settings the attribute settings of
the DistanceBasedAlgorithm.distanceFunction.
jth column of this matrix.
getDimensionality() rows the values of this FeatureVector.
jth column of this matrix as vector.
getParameterValue(parameter) instead.
grabOptions(String[]).
setParameters(String[])
but without unnecessary entries.
IntParameter should
return <int>).
Parameter.getValue().
PROPERTY_SEPARATOR) for a specified
PropertyName.
ith row of this matrix.
getDimensionality() columns the values of this
FeatureVector.
ith row of this matrix as vector.
PatternParameter) specifies a valid
pattern for a given class parameter (ClassParameter) defining a specific distance function.ListParameter) given is equal to the constraint size
specified by the integer parameter (IntParameter) given.VectorListParameter)
correspond to the value of a integer parameter (IntParameter) given.NumberParameter)
tested is greater than the specified constraint value.
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