📄 bifreader.java
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} catch (NumberFormatException e) {
System.err.println("Wrong number format in position :(" + sX + "," + sY +")");
m_nPositionX[iNode] = 0;
m_nPositionY[iNode] = 0;
}
}
}
}
m_Instances = new Instances(sName, attInfo, 100);
m_Instances.setClassIndex(nNodes - 1);
setUseADTree(false);
initStructure();
} // buildInstances
// /** selectNodeList selects list of nodes from document specified in XPath expression
// * @param doc : document (or node) to query
// * @param sXPath : XPath expression
// * @return list of nodes conforming to XPath expression in doc
// * @throws Exception
// */
// private NodeList selectNodeList(Node doc, String sXPath) throws Exception {
// NodeList nodelist = org.apache.xpath.XPathAPI.selectNodeList(doc, sXPath);
// return nodelist;
// } // selectNodeList
NodeList selectAllNames(Document doc) throws Exception {
//NodeList nodelist = selectNodeList(doc, "//NAME");
NodeList nodelist = doc.getElementsByTagName("NAME");
return nodelist;
} // selectAllNames
NodeList selectAllVariables(Document doc) throws Exception {
//NodeList nodelist = selectNodeList(doc, "//VARIABLE");
NodeList nodelist = doc.getElementsByTagName("VARIABLE");
return nodelist;
} // selectAllVariables
Element getDefinition(Document doc, String sName) throws Exception {
//NodeList nodelist = selectNodeList(doc, "//DEFINITION[normalize-space(FOR/text())=\"" + sName + "\"]");
NodeList nodelist = doc.getElementsByTagName("DEFINITION");
for (int iNode = 0; iNode < nodelist.getLength(); iNode++) {
Node node = nodelist.item(iNode);
FastVector list = selectElements(node, "FOR");
if (list.size() > 0) {
Node forNode = (Node) list.elementAt(0);
if (getContent((Element) forNode).trim().equals(sName)) {
return (Element) node;
}
}
}
throw new Exception("Could not find definition for ((" + sName + "))");
} // getDefinition
FastVector getParentNodes(Node definition) throws Exception {
//NodeList nodelist = selectNodeList(definition, "GIVEN");
FastVector nodelist = selectElements(definition, "GIVEN");
return nodelist;
} // getParentNodes
String getTable(Node definition) throws Exception {
//NodeList nodelist = selectNodeList(definition, "TABLE/text()");
FastVector nodelist = selectElements(definition, "TABLE");
String sTable = getContent((Element) nodelist.elementAt(0));
sTable = sTable.replaceAll("\\n"," ");
return sTable;
} // getTable
FastVector selectOutCome(Node item) throws Exception {
//NodeList nodelist = selectNodeList(item, "OUTCOME");
FastVector nodelist = selectElements(item, "OUTCOME");
return nodelist;
} // selectOutCome
FastVector selectName(Node item) throws Exception {
//NodeList nodelist = selectNodeList(item, "NAME");
FastVector nodelist = selectElements(item, "NAME");
return nodelist;
} // selectName
FastVector selectProperty(Node item) throws Exception {
// NodeList nodelist = selectNodeList(item, "PROPERTY");
FastVector nodelist = selectElements(item, "PROPERTY");
return nodelist;
} // selectProperty
FastVector selectElements(Node item, String sElement) throws Exception {
NodeList children = item.getChildNodes();
FastVector nodelist = new FastVector();
for (int iNode = 0; iNode < children.getLength(); iNode++) {
Node node = children.item(iNode);
if ((node.getNodeType() == Node.ELEMENT_NODE) && node.getNodeName().equals(sElement)) {
nodelist.addElement(node);
}
}
return nodelist;
} // selectElements
/** Count nr of arcs missing from other network compared to current network
* Note that an arc is not 'missing' if it is reversed.
* @param other: network to compare with
* @return nr of missing arcs
*/
public int missingArcs(BayesNet other) {
try {
Sync(other);
int nMissing = 0;
for (int iAttribute = 0; iAttribute < m_Instances.numAttributes(); iAttribute++) {
for (int iParent = 0; iParent < m_ParentSets[iAttribute].getNrOfParents(); iParent++) {
int nParent = m_ParentSets[iAttribute].getParent(iParent);
if (!other.getParentSet(m_order[iAttribute]).contains(m_order[nParent]) && !other.getParentSet(m_order[nParent]).contains(m_order[iAttribute])) {
nMissing++;
}
}
}
return nMissing;
} catch (Exception e) {
System.err.println(e.getMessage());
return 0;
}
} // missingArcs
/** Count nr of exta arcs from other network compared to current network
* Note that an arc is not 'extra' if it is reversed.
* @param other: network to compare with
* @return nr of missing arcs
*/
public int extraArcs(BayesNet other) {
try {
Sync(other);
int nExtra = 0;
for (int iAttribute = 0; iAttribute < m_Instances.numAttributes(); iAttribute++) {
for (int iParent = 0; iParent < other.getParentSet(m_order[iAttribute]).getNrOfParents(); iParent++) {
int nParent = m_order[other.getParentSet(m_order[iAttribute]).getParent(iParent)];
if (!m_ParentSets[iAttribute].contains(nParent) && !m_ParentSets[nParent].contains(iAttribute)) {
nExtra++;
}
}
}
return nExtra;
} catch (Exception e) {
System.err.println(e.getMessage());
return 0;
}
} // extraArcs
/** calculates the divergence between the probability distribution
* represented by this network and that of another, that is,
* \sum_{x\in X} P(x)log P(x)/Q(x)
* where X is the set of values the nodes in the network can take,
* P(x) the probability of this network for configuration x
* Q(x) the probability of the other network for configuration x
* @param other: network to compare with
* @return divergence between this and other Bayes Network
*/
public double divergence(BayesNet other) {
try {
Sync(other);
// D: divergence
double D = 0.0;
int nNodes = m_Instances.numAttributes();
int [] nCard = new int[nNodes];
for (int iNode = 0; iNode < nNodes; iNode++) {
nCard[iNode] = m_Instances.attribute(iNode).numValues();
}
// x: holds current configuration of nodes
int [] x = new int[nNodes];
// simply sum over all configurations to calc divergence D
int i = 0;
while (i < nNodes) {
// update configuration
x[i]++;
while (i < nNodes && x[i] == m_Instances.attribute(i).numValues()) {
x[i] = 0;
i++;
if (i < nNodes){
x[i]++;
}
}
if (i < nNodes) {
i = 0;
// calc P(x) and Q(x)
double P = 1.0;
for (int iNode = 0; iNode < nNodes; iNode++) {
int iCPT = 0;
for (int iParent = 0; iParent < m_ParentSets[iNode].getNrOfParents(); iParent++) {
int nParent = m_ParentSets[iNode].getParent(iParent);
iCPT = iCPT * nCard[nParent] + x[nParent];
}
P = P * m_Distributions[iNode][iCPT].getProbability(x[iNode]);
}
double Q = 1.0;
for (int iNode = 0; iNode < nNodes; iNode++) {
int iCPT = 0;
for (int iParent = 0; iParent < other.getParentSet(m_order[iNode]).getNrOfParents(); iParent++) {
int nParent = m_order[other.getParentSet(m_order[iNode]).getParent(iParent)];
iCPT = iCPT * nCard[nParent] + x[nParent];
}
Q = Q * other.m_Distributions[m_order[iNode]][iCPT].getProbability(x[iNode]);
}
// update divergence if probabilities are positive
if (P > 0.0 && Q > 0.0) {
D = D + P * Math.log(Q / P);
}
}
}
return D;
} catch (Exception e) {
System.err.println(e.getMessage());
return 0;
}
} // divergence
/** Count nr of reversed arcs from other network compared to current network
* @param other: network to compare with
* @return nr of missing arcs
*/
public int reversedArcs(BayesNet other) {
try {
Sync(other);
int nReversed = 0;
for (int iAttribute = 0; iAttribute < m_Instances.numAttributes(); iAttribute++) {
for (int iParent = 0; iParent < m_ParentSets[iAttribute].getNrOfParents(); iParent++) {
int nParent = m_ParentSets[iAttribute].getParent(iParent);
if (!other.getParentSet(m_order[iAttribute]).contains(m_order[nParent]) && other.getParentSet(m_order[nParent]).contains(m_order[iAttribute])) {
nReversed++;
}
}
}
return nReversed;
} catch (Exception e) {
System.err.println(e.getMessage());
return 0;
}
} // reversedArcs
public BIFReader() {}
public static void main(String[] args) {
try {
BIFReader br = new BIFReader();
br.processFile(args[0]);
System.out.println(br.toString());
}
catch (Throwable t) {
t.printStackTrace();
}
} // main
} // class BIFReader
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