/**
* Takes string values referenced by an Instance and copies them from a source dataset to a
* destination dataset. The instance references are updated to be valid for the destination
* dataset. The instance may have the structure (i.e. number and attribute position) of either
* dataset (this affects where references are obtained from). Only works if the number of string
* attributes is the same in both indices (implicitly these string attributes should be
* semantically same but just with shifted positions).
*
* @param instance the instance containing references to strings in the source dataset that will
* have references updated to be valid for the destination dataset.
* @param instSrcCompat true if the instance structure is the same as the source, or false if it
* is the same as the destination (i.e. which of the string attribute indices contains the
* correct locations for this instance).
* @param srcDataset the dataset for which the current instance string references are valid (after
* any position mapping if needed)
* @param srcStrAtts an array containing the indices of string attributes in the source datset.
* @param destDataset the dataset for which the current instance string references need to be
* inserted (after any position mapping if needed)
* @param destStrAtts an array containing the indices of string attributes in the destination
* datset.
*/
protected void copyStringValues(
M5Instance instance,
boolean instSrcCompat,
M5Instances srcDataset,
int[] srcStrAtts,
M5Instances destDataset,
int[] destStrAtts) {
if (srcDataset == destDataset) {
return;
}
if (srcStrAtts.length != destStrAtts.length) {
throw new IllegalArgumentException("Src and Dest string indices differ in length!!");
}
for (int i = 0; i < srcStrAtts.length; i++) {
int instIndex = instSrcCompat ? srcStrAtts[i] : destStrAtts[i];
M5Attribute src = srcDataset.attribute(srcStrAtts[i]);
M5Attribute dest = destDataset.attribute(destStrAtts[i]);
if (!instance.isMissing(instIndex)) {
// System.err.println(instance.value(srcIndex)
// + " " + src.numValues()
// + " " + dest.numValues());
int valIndex = dest.addStringValue(src, (int) instance.value(instIndex));
// setValue here shouldn't be too slow here unless your dataset has
// squillions of string attributes
instance.setValue(instIndex, (double) valIndex);
}
}
}
/**
* Computes average class values for each attribute and value
*
* @throws Exception
*/
private void computeAverageClassValues() throws Exception {
double totalCounts, sum;
M5Instance instance;
double[] counts;
double[][] avgClassValues = new double[getInputFormat().numAttributes()][0];
m_Indices = new int[getInputFormat().numAttributes()][0];
for (int j = 0; j < getInputFormat().numAttributes(); j++) {
M5Attribute att = getInputFormat().attribute(j);
if (att.isNominal()) {
avgClassValues[j] = new double[att.numValues()];
counts = new double[att.numValues()];
for (int i = 0; i < getInputFormat().numInstances(); i++) {
instance = getInputFormat().instance(i);
if (!instance.classIsMissing() && (!instance.isMissing(j))) {
counts[(int) instance.value(j)] += instance.weight();
avgClassValues[j][(int) instance.value(j)] += instance.weight() * instance.classValue();
}
}
sum = M5StaticUtils.sum(avgClassValues[j]);
totalCounts = M5StaticUtils.sum(counts);
if (M5StaticUtils.gr(totalCounts, 0)) {
for (int k = 0; k < att.numValues(); k++) {
if (M5StaticUtils.gr(counts[k], 0)) {
avgClassValues[j][k] /= (double) counts[k];
} else {
avgClassValues[j][k] = sum / (double) totalCounts;
}
}
}
m_Indices[j] = M5StaticUtils.sort(avgClassValues[j]);
}
}
}
/** Set the output format if the class is nominal. */
private void setOutputFormatNominal() {
M5Vector newAtts;
int newClassIndex;
StringBuffer attributeName;
M5Instances outputFormat;
M5Vector vals;
// Compute new attributes
newClassIndex = getInputFormat().classIndex();
newAtts = new M5Vector();
for (int j = 0; j < getInputFormat().numAttributes(); j++) {
M5Attribute att = getInputFormat().attribute(j);
if ((!att.isNominal()) || (j == getInputFormat().classIndex())) {
newAtts.addElement(att.copy());
} else {
if (att.numValues() <= 2) {
if (m_Numeric) {
newAtts.addElement(new M5Attribute(att.name()));
} else {
newAtts.addElement(att.copy());
}
} else {
if (j < getInputFormat().classIndex()) {
newClassIndex += att.numValues() - 1;
}
// Compute values for new attributes
for (int k = 0; k < att.numValues(); k++) {
attributeName = new StringBuffer(att.name() + "=");
attributeName.append(att.value(k));
if (m_Numeric) {
newAtts.addElement(new M5Attribute(attributeName.toString()));
} else {
vals = new M5Vector(2);
vals.addElement("f");
vals.addElement("t");
newAtts.addElement(new M5Attribute(attributeName.toString(), vals));
}
}
}
}
}
outputFormat = new M5Instances(getInputFormat().relationName(), newAtts, 0);
outputFormat.setClassIndex(newClassIndex);
setOutputFormat(outputFormat);
}
/**
* Convert a single instance over if the class is numeric. The converted instance is added to the
* end of the output queue.
*
* @param instance the instance to convert
*/
private void convertInstanceNumeric(M5Instance instance) {
double[] vals = new double[outputFormatPeek().numAttributes()];
int attSoFar = 0;
for (int j = 0; j < getInputFormat().numAttributes(); j++) {
M5Attribute att = getInputFormat().attribute(j);
if ((!att.isNominal()) || (j == getInputFormat().classIndex())) {
vals[attSoFar] = instance.value(j);
attSoFar++;
} else {
if (instance.isMissing(j)) {
for (int k = 0; k < att.numValues() - 1; k++) {
vals[attSoFar + k] = instance.value(j);
}
} else {
int k = 0;
while ((int) instance.value(j) != m_Indices[j][k]) {
vals[attSoFar + k] = 1;
k++;
}
while (k < att.numValues() - 1) {
vals[attSoFar + k] = 0;
k++;
}
}
attSoFar += att.numValues() - 1;
}
}
M5Instance inst = null;
if (instance instanceof M5SparseInstance) {
inst = new M5SparseInstance(instance.weight(), vals);
} else {
inst = new M5Instance(instance.weight(), vals);
}
copyStringValues(
inst,
false,
instance.dataset(),
getInputStringIndex(),
getOutputFormat(),
getOutputStringIndex());
inst.setDataset(getOutputFormat());
push(inst);
}
