/// <summary>Remove everything but the skeleton, the predictions, and the labels</summary>
private Tree SimplifyTree(Tree tree)
{
CoreLabel newLabel = new CoreLabel();
newLabel.Set(typeof(RNNCoreAnnotations.Predictions), RNNCoreAnnotations.GetPredictions(tree));
newLabel.SetValue(tree.Label().Value());
if (tree.IsLeaf())
{
return(tree.TreeFactory().NewLeaf(newLabel));
}
IList <Tree> children = Generics.NewArrayList(tree.Children().Length);
for (int i = 0; i < tree.Children().Length; ++i)
{
children.Add(SimplifyTree(tree.Children()[i]));
}
return(tree.TreeFactory().NewTreeNode(newLabel, children));
}
public override string ToString()
{
StringBuilder result = new StringBuilder();
for (int prediction = 0; prediction < numClasses; ++prediction)
{
result.Append("Best scores for class " + prediction + "\n");
IDictionary <int, PriorityQueue <Tree> > ngrams = classToNGrams[prediction];
foreach (KeyValuePair <int, PriorityQueue <Tree> > entry in ngrams)
{
IList <Tree> trees = Generics.NewArrayList(entry.Value);
trees.Sort(ScoreComparator(prediction));
result.Append(" Len " + entry.Key + "\n");
for (int i = trees.Count - 1; i >= 0; i--)
{
Tree tree = trees[i];
result.Append(" " + SentenceUtils.ListToString(tree.Yield()) + " [" + RNNCoreAnnotations.GetPredictions(tree).Get(prediction) + "]\n");
}
}
}
return(result.ToString());
}
