public void initializeExamples(ClusAttrType[] attrs, RowData data) {
// first remove all examplelists from attributes (-> ensembles!)
for (int i = 0; i < attrs.length; i++) {
ClusAttrType at = attrs[i];
if (at.isSparse()) {
((SparseNumericAttrType) at).resetExamples();
}
}
for (int i = 0; i < data.getNbRows(); i++) {
SparseDataTuple tuple = (SparseDataTuple) data.getTuple(i);
tuple.addExampleToAttributes();
}
}
public void induce(ClusNode node, RowData data) {
if (getSettings().isEnsembleMode()
&& ((getSettings().getEnsembleMethod() == Settings.ENSEMBLE_RFOREST)
|| (getSettings().getEnsembleMethod() == Settings.ENSEMBLE_NOBAGRFOREST))) {
induceRandomForest(node, data);
} else {
ClusAttrType[] attrs = getDescriptiveAttributes();
initializeExamples(attrs, data);
ArrayList<ClusAttrType> attrList = new ArrayList<ClusAttrType>();
ArrayList<ArrayList> examplelistList = new ArrayList<ArrayList>();
for (int i = 0; i < attrs.length; i++) {
ClusAttrType at = attrs[i];
if (at.isSparse()) {
if (((SparseNumericAttrType) at).getExampleWeight() >= getSettings().getMinimalWeight()) {
attrList.add(at);
Object[] exampleArray = ((SparseNumericAttrType) at).getExamples().toArray();
RowData exampleData = new RowData(exampleArray, exampleArray.length);
exampleData.sortSparse((SparseNumericAttrType) at, m_FindBestTest.getSortHelper());
ArrayList<SparseDataTuple> exampleList = new ArrayList<SparseDataTuple>();
for (int j = 0; j < exampleData.getNbRows(); j++) {
exampleList.add((SparseDataTuple) exampleData.getTuple(j));
}
((SparseNumericAttrType) at).setExamples(exampleList);
examplelistList.add(exampleList);
}
} else {
attrList.add(at);
examplelistList.add(null);
}
}
Object[] attrArray = attrList.toArray();
Object[] examplelistArray = examplelistList.toArray();
induce(node, data, attrArray, examplelistArray);
}
}