/**
* Function to add all itemsets in given range to given value.
*
* @param valueIndex The index of the value.
* @param itemset The itemset to add.
* @param start The index of the first itemset to add.
* @param end The index of the first itemset that will not be added.
* @throws Exception
*/
public final void addRange(int valueIndex, Dataset source, int start, int end) {
double sumOfWeights = 0;
int classIndex;
Itemset itemset;
int i;
for (i = start; i < end; i++) {
itemset = (Itemset) source.itemset(i);
classIndex = (int) itemset.getClassValue();
sumOfWeights = sumOfWeights + itemset.getWeight();
perClassPerValue[valueIndex][classIndex] += itemset.getWeight();
perClass[classIndex] += itemset.getWeight();
}
perValue[valueIndex] += sumOfWeights;
total += sumOfWeights;
}
/**
* Function to add the given itemset to given the value.
*
* @param valueIndex The index of the value.
* @param itemset The itemset to add.
*/
public final void add(int valueIndex, Itemset itemset) {
int classIndex;
double weight;
classIndex = (int) itemset.getClassValue();
weight = itemset.getWeight();
perClassPerValue[valueIndex][classIndex] = perClassPerValue[valueIndex][classIndex] + weight;
perValue[valueIndex] = perValue[valueIndex] + weight;
perClass[classIndex] = perClass[classIndex] + weight;
total = total + weight;
}
/**
* Funtion to add the given itemset to all values weighting it according to given weights.
*
* @param itemset The itemset to add.
* @param weights The weights of the itemset for every value.
*/
public final void addWeights(Itemset itemset, double[] weights) {
int classIndex;
int i;
classIndex = (int) itemset.getClassValue();
for (i = 0; i < perValue.length; i++) {
double weight = itemset.getWeight() * weights[i];
perClassPerValue[i][classIndex] = perClassPerValue[i][classIndex] + weight;
perValue[i] = perValue[i] + weight;
perClass[classIndex] = perClass[classIndex] + weight;
total = total + weight;
}
}
/**
* Function to shift all itemsets in given range from one value to another.
*
* @param from The minimum value.
* @param to The maximum value.
* @param source The dataset.
* @param start The index of the first itemset to add.
* @param end The index of the first itemset that will not be added.
*/
public final void shiftRange(int from, int to, Dataset source, int start, int end) {
int classIndex;
double weight;
Itemset itemset;
int i;
for (i = start; i < end; i++) {
itemset = (Itemset) source.itemset(i);
classIndex = (int) itemset.getClassValue();
weight = itemset.getWeight();
perClassPerValue[from][classIndex] -= weight;
perClassPerValue[to][classIndex] += weight;
perValue[from] -= weight;
perValue[to] += weight;
}
}
/**
* Function to add all itemsets with unknown values for given attribute.
*
* @param source The dataset that contains all the itemsets.
* @param attIndex The index of the attribute with possible unknown values.
* @throws Exception
*/
public final void addWithUnknownValue(Dataset source, int attIndex) {
double[] probs;
double weight, newWeight;
int classIndex;
Itemset itemset;
int j;
probs = new double[perValue.length];
for (j = 0; j < perValue.length; j++) {
// if ( Comparators.isEqual( total, 0 ) )
if (total == 0) {
probs[j] = 1.0 / probs.length;
} else {
probs[j] = perValue[j] / total;
}
}
Enumeration enum2 = source.enumerateItemsets();
while (enum2.hasMoreElements()) {
itemset = (Itemset) enum2.nextElement();
if (itemset.isMissing(attIndex)) {
classIndex = (int) itemset.getClassValue();
weight = itemset.getWeight();
perClass[classIndex] = perClass[classIndex] + weight;
total = total + weight;
for (j = 0; j < perValue.length; j++) {
newWeight = probs[j] * weight;
perClassPerValue[j][classIndex] = perClassPerValue[j][classIndex] + newWeight;
perValue[j] = perValue[j] + newWeight;
}
}
}
}