-
m_CondiCounts
double[][][] m_CondiCounts
3D array (m_NumClasses * m_TotalAttValues * m_TotalAttValues)
of attribute counts, i.e. the number of times an attribute value occurs
in conjunction with another attribute value and a class value.
-
m_CondiCountsNoClass
double[][] m_CondiCountsNoClass
2D array (m_TotalAttValues * m_TotalAttValues) of attributes counts.
similar to m_CondiCounts, but ignoring class value.
-
m_ClassCounts
double[] m_ClassCounts
The number of times each class value occurs in the dataset
-
m_SumForCounts
double[][] m_SumForCounts
The sums of attribute-class counts
-- if there are no missing values for att, then
m_SumForCounts[classVal][att] will be the same as
m_ClassCounts[classVal]
-
m_NumClasses
int m_NumClasses
The number of classes
-
m_NumAttributes
int m_NumAttributes
The number of attributes in dataset, including class
-
m_NumInstances
int m_NumInstances
The number of instances in the dataset
-
m_ClassIndex
int m_ClassIndex
The index of the class attribute
-
m_Instances
weka.core.Instances m_Instances
The dataset
-
m_TotalAttValues
int m_TotalAttValues
The total number of values (including an extra for each attribute's
missing value, which are included in m_CondiCounts) for all attributes
(not including class). Eg. for three atts each with two possible values,
m_TotalAttValues would be 9 (6 values + 3 missing).
This variable is used when allocating space for m_CondiCounts matrix.
-
m_StartAttIndex
int[] m_StartAttIndex
The starting index (in the m_CondiCounts matrix) of the values for each attribute
-
m_NumAttValues
int[] m_NumAttValues
The number of values for each attribute
-
m_Frequencies
double[] m_Frequencies
The frequency of each attribute value for the dataset
-
m_SumInstances
double m_SumInstances
The number of valid class values observed in dataset
-- with no missing classes, this number is the same as m_NumInstances.
-
m_Limit
int m_Limit
An att's frequency must be this value or more to be a superParent
-
m_Debug
boolean m_Debug
If true, outputs debugging info
-
m_MWeight
double m_MWeight
m value for m-estimation
-
m_Laplace
boolean m_Laplace
Using LapLace estimation or not
-
m_Critical
int m_Critical
the critical value for the specialization-generalization