public class Classification
extends java.lang.Object
Class to handle a classification of class values.
| Constructor and Description |
|---|
Classification(Classification toMerge)
Function to create a new classification with only one value by merging all ç
values of given classification.
|
Classification(int numValues,
int numClasses)
Function to create and initialize a new classification.
|
Classification(MyDataset source)
Function to create a new classification with only one value.
|
Classification(MyDataset source,
Cut model)
Function to create a new classification with the given dataset.
|
| Modifier and Type | Method and Description |
|---|---|
void |
add(int valueIndex,
Itemset itemset)
Function to add the given itemset to given the value.
|
void |
addRange(int valueIndex,
MyDataset source,
int start,
int end)
Function to add all itemsets in given range to given value.
|
void |
addWeights(Itemset itemset,
double[] weights)
Funtion to add the given itemset to all values weighting it according to given weights.
|
void |
addWithUnknownValue(MyDataset source,
int attIndex)
Function to add all itemsets with unknown values for given attribute.
|
boolean |
check(double minItemsets)
Function to check if at least two values contain a minimum number of itemsets.
|
double |
getTotal()
Returns total weight of itemsets.
|
int |
maxClass()
Returns class with highest frequency over all values.
|
int |
maxClass(int index)
Returns class with highest frequency for given value.
|
int |
maxValue()
Returns index of value containing maximum number of itemsets.
|
int |
numClasses()
Returns number of classes.
|
double |
numCorrect()
Returns the weight of all itemsets of the class with highest frequency.
|
double |
numCorrect(int index)
Returns the number of correctly classified itemsets for the given value.
|
double |
numIncorrect()
Returns incorrectly classifed
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double |
numIncorrect(int index)
Returns the number of incorrectly classified itemsets for the given value.
|
int |
numValues()
Returns number of values.
|
double |
perClass(int classIndex)
Returns number of itemsets of given class.
|
double |
perClassPerValue(int valueIndex,
int classIndex)
Returns number of itemsets of given class in given value.
|
double |
perValue(int valueIndex)
Returns number of (possibly fractional) itemsets in given value.
|
double |
probability(int classIndex)
Returns relative frequency of class over all values.
|
double |
probability(int classIndex,
int attIndex)
Returns relative frequency of class for given value.
|
void |
shiftRange(int from,
int to,
MyDataset source,
int start,
int end)
Function to shift all itemsets in given range from one value to another.
|
public Classification(int numValues,
int numClasses)
numValues - Number of values used to make the classification.numClasses - Number of classes used to make the classification.public Classification(MyDataset source) throws java.lang.Exception
source - The dataset.java.lang.Exception - If cannot read the dataset.public Classification(MyDataset source, Cut model) throws java.lang.Exception
source - The dataset.model - The model selected to make the classification.java.lang.Exception - If cannot build the classification.public Classification(Classification toMerge)
toMerge - The original classification to merge.public final void add(int valueIndex,
Itemset itemset)
valueIndex - The index of the value.itemset - The itemset to add.public final void addWithUnknownValue(MyDataset source, int attIndex)
source - The dataset that contains all the itemsets.attIndex - The index of the attribute with possible unknown values.public final void addRange(int valueIndex,
MyDataset source,
int start,
int end)
valueIndex - The index of the value.source - The source of the data.start - The index of the first itemset to add.end - The index of the first itemset that will not be added.public final void addWeights(Itemset itemset, double[] weights)
itemset - The itemset to add.weights - The weights of the itemset for every value.public final boolean check(double minItemsets)
minItemsets - The minimum number of itemsets.public final int maxValue()
public final int maxClass()
public final int maxClass(int index)
index - The index of the value.public final int numValues()
public final int numClasses()
public final double numCorrect()
public final double numIncorrect()
public final double numIncorrect(int index)
index - The index of the value.public final double numCorrect(int index)
index - The index of the value.public final double getTotal()
public final double perClassPerValue(int valueIndex,
int classIndex)
valueIndex - The index of the value.classIndex - The index of the class.public final double perValue(int valueIndex)
valueIndex - The index of the value.public final double perClass(int classIndex)
classIndex - The index of the class.public final double probability(int classIndex)
classIndex - The index of the class.public final double probability(int classIndex,
int attIndex)
classIndex - The index of the class.attIndex - The index of the attribute.public final void shiftRange(int from,
int to,
MyDataset source,
int start,
int end)
from - The minimum value.to - The maximum value.source - The dataset.start - The index of the first itemset to add.end - The index of the first itemset that will not be added.