/**
* Dump the graph in Mary format
*
* @param graph graph
* @param destFile the destination file
* @throws IOException IOException
*/
public void saveGraph(DirectedGraph graph, String destFile) throws IOException {
if (graph == null) throw new NullPointerException("Cannot dump null graph");
if (destFile == null) throw new NullPointerException("No destination file");
logger.debug("Dumping directed graph in Mary format to " + destFile + " ...");
// Open the destination file and output the header
DataOutputStream out =
new DataOutputStream(new BufferedOutputStream(new FileOutputStream(destFile)));
// create new CART-header and write it to output file
MaryHeader hdr = new MaryHeader(MaryHeader.DIRECTED_GRAPH);
hdr.writeTo(out);
Properties props = graph.getProperties();
if (props == null) {
out.writeShort(0);
} else {
ByteArrayOutputStream baos = new ByteArrayOutputStream();
props.store(baos, null);
byte[] propData = baos.toByteArray();
out.writeShort(propData.length);
out.write(propData);
}
// feature definition
graph.getFeatureDefinition().writeBinaryTo(out);
// dump graph
dumpBinary(graph, out);
// finish
out.close();
logger.debug(" ... done\n");
}
/**
* Assign unique ids to directed graph nodes.
*
* @param graph
* @return the number of different directed graph nodes
*/
private int setUniqueDirectedGraphNodeIds(DirectedGraph graph) {
int i = 0;
for (DirectedGraphNode g : graph.getDirectedGraphNodes()) {
g.setUniqueGraphNodeID(++i);
}
return i;
}
/**
* Assign unique ids to decision nodes.
*
* @param graph
* @return the number of different decision nodes
*/
private int setUniqueDecisionNodeIds(DirectedGraph graph) {
int i = 0;
for (DecisionNode d : graph.getDecisionNodes()) {
d.setUniqueDecisionNodeId(++i);
}
return i;
}
/**
* Assign unique ids to leaf nodes.
*
* @param graph
* @return the number of different leaf nodes
*/
private int setUniqueLeafNodeIds(DirectedGraph graph) {
int i = 0;
for (LeafNode l : graph.getLeafNodes()) {
l.setUniqueLeafId(++i);
}
return i;
}
private void printDirectedGraphNodes(DirectedGraph graph, DataOutput out, PrintWriter pw)
throws IOException {
for (DirectedGraphNode g : graph.getDirectedGraphNodes()) {
int id = g.getUniqueGraphNodeID();
if (id == 0) continue; // empty node, do not write
Node leaf = g.getLeafNode();
int leafID = 0;
int leafNodeType = 0;
if (leaf != null) {
if (leaf instanceof LeafNode) {
leafID = ((LeafNode) leaf).getUniqueLeafId();
leafNodeType = DirectedGraphReader.LEAFNODE;
} else if (leaf instanceof DirectedGraphNode) {
leafID = ((DirectedGraphNode) leaf).getUniqueGraphNodeID();
leafNodeType = DirectedGraphReader.DIRECTEDGRAPHNODE;
} else {
throw new IllegalArgumentException("Unexpected leaf type: " + leaf.getClass());
}
}
DecisionNode d = g.getDecisionNode();
int decID = d != null ? d.getUniqueDecisionNodeId() : 0;
if (out != null) {
int outLeafId = leafID == 0 ? 0 : leafID | (leafNodeType << 30);
out.writeInt(outLeafId);
int outDecId = decID == 0 ? 0 : decID | (DirectedGraphReader.DECISIONNODE << 30);
out.writeInt(outDecId);
}
if (pw != null) {
pw.print("DGN" + id);
if (leafID == 0) {
pw.print(" 0");
} else if (leaf.isLeafNode()) {
pw.print(" id" + leafID);
} else {
assert leaf.isDirectedGraphNode();
pw.print(" DGN" + leafID);
}
if (decID == 0) pw.print(" 0");
else pw.print(" -" + decID);
pw.println();
}
}
}
private void printLeafNodes(DirectedGraph graph, DataOutput out, PrintWriter pw)
throws IOException {
for (LeafNode leaf : graph.getLeafNodes()) {
if (leaf.getUniqueLeafId() == 0) // empty leaf, do not write
continue;
LeafType leafType = leaf.getLeafNodeType();
if (leafType == LeafType.FeatureVectorLeafNode) {
leafType = LeafType.IntArrayLeafNode;
// save feature vector leaf nodes as int array leaf nodes
}
if (out != null) {
// Leaf node type
out.writeInt(leafType.ordinal());
}
if (pw != null) {
pw.print("id" + leaf.getUniqueLeafId() + " " + leafType);
}
switch (leaf.getLeafNodeType()) {
case IntArrayLeafNode:
int data[] = ((IntArrayLeafNode) leaf).getIntData();
// Number of data points following:
if (out != null) out.writeInt(data.length);
if (pw != null) pw.print(" " + data.length);
// for each index, write the index
for (int i = 0; i < data.length; i++) {
if (out != null) out.writeInt(data[i]);
if (pw != null) pw.print(" " + data[i]);
}
break;
case FloatLeafNode:
float stddev = ((FloatLeafNode) leaf).getStDeviation();
float mean = ((FloatLeafNode) leaf).getMean();
if (out != null) {
out.writeFloat(stddev);
out.writeFloat(mean);
}
if (pw != null) {
pw.print(" 1 " + stddev + " " + mean);
}
break;
case IntAndFloatArrayLeafNode:
case StringAndFloatLeafNode:
int data1[] = ((IntAndFloatArrayLeafNode) leaf).getIntData();
float floats[] = ((IntAndFloatArrayLeafNode) leaf).getFloatData();
// Number of data points following:
if (out != null) out.writeInt(data1.length);
if (pw != null) pw.print(" " + data1.length);
// for each index, write the index and then its float
for (int i = 0; i < data1.length; i++) {
if (out != null) {
out.writeInt(data1[i]);
out.writeFloat(floats[i]);
}
if (pw != null) pw.print(" " + data1[i] + " " + floats[i]);
}
break;
case FeatureVectorLeafNode:
FeatureVector fv[] = ((FeatureVectorLeafNode) leaf).getFeatureVectors();
// Number of data points following:
if (out != null) out.writeInt(fv.length);
if (pw != null) pw.print(" " + fv.length);
// for each feature vector, write the index
for (int i = 0; i < fv.length; i++) {
if (out != null) out.writeInt(fv[i].getUnitIndex());
if (pw != null) pw.print(" " + fv[i].getUnitIndex());
}
break;
case PdfLeafNode:
throw new IllegalArgumentException("Writing of pdf leaf nodes not yet implemented");
}
if (pw != null) pw.println();
}
}
private void printDecisionNodes(DirectedGraph graph, DataOutput out, PrintWriter pw)
throws IOException {
for (DecisionNode decNode : graph.getDecisionNodes()) {
int id = decNode.getUniqueDecisionNodeId();
String nodeDefinition = decNode.getNodeDefinition();
int featureIndex = decNode.getFeatureIndex();
DecisionNode.Type nodeType = decNode.getDecisionNodeType();
if (out != null) {
// dump in binary form to output
out.writeInt(featureIndex);
out.writeInt(nodeType.ordinal());
// Now, questionValue, which depends on nodeType
switch (nodeType) {
case BinaryByteDecisionNode:
out.writeInt(((BinaryByteDecisionNode) decNode).getCriterionValueAsByte());
assert decNode.getNumberOfDaugthers() == 2;
break;
case BinaryShortDecisionNode:
out.writeInt(((BinaryShortDecisionNode) decNode).getCriterionValueAsShort());
assert decNode.getNumberOfDaugthers() == 2;
break;
case BinaryFloatDecisionNode:
out.writeFloat(((BinaryFloatDecisionNode) decNode).getCriterionValueAsFloat());
assert decNode.getNumberOfDaugthers() == 2;
break;
case ByteDecisionNode:
case ShortDecisionNode:
out.writeInt(decNode.getNumberOfDaugthers());
}
// The child nodes
for (int i = 0, n = decNode.getNumberOfDaugthers(); i < n; i++) {
Node daughter = decNode.getDaughter(i);
if (daughter == null) {
out.writeInt(0);
} else if (daughter.isDecisionNode()) {
int daughterID = ((DecisionNode) daughter).getUniqueDecisionNodeId();
// Mark as decision node:
daughterID |= DirectedGraphReader.DECISIONNODE << 30;
out.writeInt(daughterID);
} else if (daughter.isLeafNode()) {
int daughterID = ((LeafNode) daughter).getUniqueLeafId();
// Mark as leaf node:
if (daughterID != 0) daughterID |= DirectedGraphReader.LEAFNODE << 30;
out.writeInt(daughterID);
} else if (daughter.isDirectedGraphNode()) {
int daughterID = ((DirectedGraphNode) daughter).getUniqueGraphNodeID();
// Mark as directed graph node:
if (daughterID != 0) daughterID |= DirectedGraphReader.DIRECTEDGRAPHNODE << 30;
out.writeInt(daughterID);
}
}
}
if (pw != null) {
// dump to print writer
StringBuilder strNode = new StringBuilder("-" + id + " " + nodeDefinition);
for (int i = 0, n = decNode.getNumberOfDaugthers(); i < n; i++) {
strNode.append(" ");
Node daughter = decNode.getDaughter(i);
if (daughter == null) {
strNode.append("0");
} else if (daughter.isDecisionNode()) {
int daughterID = ((DecisionNode) daughter).getUniqueDecisionNodeId();
strNode.append("-").append(daughterID);
out.writeInt(daughterID);
} else if (daughter.isLeafNode()) {
int daughterID = ((LeafNode) daughter).getUniqueLeafId();
if (daughterID == 0) strNode.append("0");
else strNode.append("id").append(daughterID);
} else if (daughter.isDirectedGraphNode()) {
int daughterID = ((DirectedGraphNode) daughter).getUniqueGraphNodeID();
if (daughterID == 0) strNode.append("0");
else strNode.append("DGN").append(daughterID);
}
}
pw.println(strNode.toString());
}
}
}
@Override
public boolean compute() throws IOException, MaryConfigurationException {
logger.info("Duration tree trainer started.");
FeatureFileReader featureFile = FeatureFileReader.getFeatureFileReader(getProp(FEATUREFILE));
UnitFileReader unitFile = new UnitFileReader(getProp(UNITFILE));
FeatureVector[] allFeatureVectors = featureFile.getFeatureVectors();
int maxData = Integer.parseInt(getProp(MAXDATA));
if (maxData == 0) maxData = allFeatureVectors.length;
FeatureVector[] featureVectors = new FeatureVector[Math.min(maxData, allFeatureVectors.length)];
System.arraycopy(allFeatureVectors, 0, featureVectors, 0, featureVectors.length);
logger.debug(
"Total of "
+ allFeatureVectors.length
+ " feature vectors -- will use "
+ featureVectors.length);
AgglomerativeClusterer clusterer =
new AgglomerativeClusterer(
featureVectors,
featureFile.getFeatureDefinition(),
null,
new DurationDistanceMeasure(unitFile),
Float.parseFloat(getProp(PROPORTIONTESTDATA)));
DirectedGraphWriter writer = new DirectedGraphWriter();
DirectedGraph graph;
int iteration = 0;
do {
graph = clusterer.cluster();
iteration++;
if (graph != null) {
writer.saveGraph(graph, getProp(DURTREE) + ".level" + iteration);
}
} while (clusterer.canClusterMore());
if (graph == null) {
return false;
}
// Now replace each leaf with a FloatLeafNode containing mean and stddev
for (LeafNode leaf : graph.getLeafNodes()) {
FeatureVectorLeafNode fvLeaf = (FeatureVectorLeafNode) leaf;
FeatureVector[] fvs = fvLeaf.getFeatureVectors();
double[] dur = new double[fvs.length];
for (int i = 0; i < fvs.length; i++) {
dur[i] =
unitFile.getUnit(fvs[i].getUnitIndex()).duration / (float) unitFile.getSampleRate();
}
double mean = MathUtils.mean(dur);
double stddev = MathUtils.standardDeviation(dur, mean);
FloatLeafNode floatLeaf = new FloatLeafNode(new float[] {(float) stddev, (float) mean});
Node mother = fvLeaf.getMother();
assert mother != null;
if (mother.isDecisionNode()) {
((DecisionNode) mother).replaceDaughter(floatLeaf, fvLeaf.getNodeIndex());
} else {
assert mother.isDirectedGraphNode();
assert ((DirectedGraphNode) mother).getLeafNode() == fvLeaf;
((DirectedGraphNode) mother).setLeafNode(floatLeaf);
}
}
writer.saveGraph(graph, getProp(DURTREE));
return true;
}
