public class KStarNumericAttribute extends Object implements KStarConstants, RevisionHandler
Modifier and Type | Field and Description |
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protected int |
m_ActualCount
The number of train instances with no missing attribute values
|
protected int |
m_AttrIndex
The index of the attribute in the test and train instances
|
protected double |
m_AverageProb
Average probability of test attribute transforming into train
attribute
|
protected int |
m_BlendFactor
default sphere of influence blend setting
|
protected int |
m_BlendMethod
0 = use specified blend, 1 = entropic blend setting
|
protected KStarCache |
m_Cache
A cache for storing attribute values and their corresponding scale
parameters
|
protected int |
m_ClassType
The class attribute type
|
protected double[] |
m_Distances
The set of disctances from the test attribute to the set of train
attributes
|
protected int |
m_MissingMode
missing value treatment
|
protected double |
m_MissingProb
Probability of test attribute transforming into train attribute
with missing value
|
protected int |
m_NumAttributes
The number of attributes
|
protected int |
m_NumClasses
The number of class values
|
protected int |
m_NumInstances
The number of instances in the dataset
|
protected int[][] |
m_RandClassCols
Set of colomns: each colomn representing a randomised version of
the train dataset class colomn
|
protected double |
m_Scale
The scale parameter
|
protected double |
m_SmallestProb
Smallest probability of test attribute transforming into train
attribute
|
protected Instance |
m_Test
The test instance
|
protected Instance |
m_Train
The train instance
|
protected Instances |
m_TrainSet
The training instances used for classification.
|
B_ENTROPY, B_SPHERE, EPSILON, FLOOR, FLOOR1, INITIAL_STEP, LOG2, M_AVERAGE, M_DELETE, M_MAXDIFF, M_NORMAL, NUM_RAND_COLS, OFF, ON, ROOT_FINDER_ACCURACY, ROOT_FINDER_MAX_ITER
Constructor and Description |
---|
KStarNumericAttribute(Instance test,
Instance train,
int attrIndex,
Instances trainSet,
int[][] randClassCols,
KStarCache cache)
Constructor
|
Modifier and Type | Method and Description |
---|---|
String |
getRevision()
Returns the revision string.
|
void |
setBlendFactor(int factor)
Set the blending factor
|
void |
setBlendMethod(int method)
Set the blending method
|
void |
setMissingMode(int mode)
Set the missing value mode.
|
void |
setOptions(int missingmode,
int blendmethod,
int blendfactor)
Set options.
|
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".
|
protected Instances m_TrainSet
protected Instance m_Test
protected Instance m_Train
protected int m_AttrIndex
protected double m_Scale
protected double m_MissingProb
protected double m_AverageProb
protected double m_SmallestProb
protected double[] m_Distances
protected int[][] m_RandClassCols
protected int m_ActualCount
protected KStarCache m_Cache
protected int m_NumInstances
protected int m_NumClasses
protected int m_NumAttributes
protected int m_ClassType
protected int m_MissingMode
protected int m_BlendMethod
protected int m_BlendFactor
public KStarNumericAttribute(Instance test, Instance train, int attrIndex, Instances trainSet, int[][] randClassCols, KStarCache cache)
public double transProb()
public void setOptions(int missingmode, int blendmethod, int blendfactor)
missingmode
- the missing value treatment to useblendmethod
- the blending method to useblendfactor
- the level of blending to usepublic void setMissingMode(int mode)
mode
- the type of missing value treatment to usepublic void setBlendMethod(int method)
method
- the blending method to usepublic void setBlendFactor(int factor)
factor
- the level of blending to usepublic String getRevision()
getRevision
in interface RevisionHandler
Copyright © 2015 University of Waikato, Hamilton, NZ. All rights reserved.