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Class weka.classifiers.kstar.KStarNumericAttribute
java.lang.Object
|
+----weka.classifiers.kstar.KStarNumericAttribute
- public class KStarNumericAttribute
- extends java.lang.Object
- implements KStarConstants
A custom class which provides the environment for computing the
transformation probability of a specified test instance numeric
attribute to a specified train instance numeric attribute.
- Version:
- $Revision 1.0 $
- Author:
- Len Trigg (len@intelligenesis.net)
- Author:
- Abdelaziz Mahoui (am14@cs.waikato.ac.nz)
KStarNumericAttribute(Instance, Instance, int, Instances, int[][], KStarCache)
- Constructor
setBlendFactor(int)
- Set the blending factor
setBlendMethod(int)
- Set the blending method
setMissingMode(int)
- Set the missing value mode.
setOptions(int, int, int)
- Set options.
transProb()
- Calculates the transformation probability of the attribute indexed
"m_AttrIndex" in test instance "m_Test" to the same attribute in
the train instance "m_Train".
KStarNumericAttribute
public KStarNumericAttribute(Instance test,
Instance train,
int attrIndex,
Instances trainSet,
int randClassCols[][],
KStarCache cache)
Constructor
transProb
public double transProb()
Calculates the transformation probability of the attribute indexed
"m_AttrIndex" in test instance "m_Test" to the same attribute in
the train instance "m_Train".
- Returns:
- the probability value
setOptions
public void setOptions(int missingmode,
int blendmethod,
int blendfactor)
Set options.
- Parameters:
missingmode
- the missing value treatment to use
blendmethod
- the blending method to use
blendfactor
- the level of blending to use
setMissingMode
public void setMissingMode(int mode)
Set the missing value mode.
- Parameters:
mode
- the type of missing value treatment to use
setBlendMethod
public void setBlendMethod(int method)
Set the blending method
- Parameters:
method
- the blending method to use
setBlendFactor
public void setBlendFactor(int factor)
Set the blending factor
- Parameters:
factor
- the level of blending to use
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