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Class weka.classifiers.kstar.KStarNumericAttribute
java.lang.Object
|
+----weka.classifiers.kstar.KStarNumericAttribute
- public class KStarNumericAttribute
- extends 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.
- Author:
- Len Trigg (len@intelligenesis.net), 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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