/**
* Sets the labels on the tree (except the leaves) to be the integer value of the sentiment
* prediction. Makes it easy to print out with Tree.toString()
*/
static void setSentimentLabels(Tree tree) {
if (tree.isLeaf()) {
return;
}
for (Tree child : tree.children()) {
setSentimentLabels(child);
}
Label label = tree.label();
if (!(label instanceof CoreLabel)) {
throw new IllegalArgumentException("Required a tree with CoreLabels");
}
CoreLabel cl = (CoreLabel) label;
cl.setValue(Integer.toString(RNNCoreAnnotations.getPredictedClass(tree)));
}
/** Outputs the scores from the tree. Counts the tree nodes the same as setIndexLabels. */
static int outputTreeScores(PrintStream out, Tree tree, int index) {
if (tree.isLeaf()) {
return index;
}
out.print(" " + index + ":");
SimpleMatrix vector = RNNCoreAnnotations.getPredictions(tree);
for (int i = 0; i < vector.getNumElements(); ++i) {
out.print(" " + NF.format(vector.get(i)));
}
out.println();
index++;
for (Tree child : tree.children()) {
index = outputTreeScores(out, child, index);
}
return index;
}
