Method classify

src/org/antlr/codebuff/kNNClassifier.java:86–107

(int k, int[] unknown, double distanceThreshold)

	}

	public int classify(int k, int[] unknown, double distanceThreshold) {
		FeatureVectorAsObject key = new FeatureVectorAsObject(unknown, FEATURES);
		Integer catI = classifyCache.get(key);
		nClassifyCalls++;
		if ( catI!=null ) {
			nClassifyCacheHits++;
			return catI;
		}
		Neighbor[] kNN = kNN(unknown, k, distanceThreshold);
		Map<Integer,MutableDouble> similarities = getCategoryToSimilarityMap(kNN, k, Y);
		int cat = getCategoryWithMaxValue(similarities);

		if ( cat==-1 ) {
			// try with less strict match threshold to get some indication of alignment
			kNN = kNN(unknown, k, MAX_CONTEXT_DIFF_THRESHOLD2);
			similarities = getCategoryToSimilarityMap(kNN, k, Y);
			cat = getCategoryWithMaxValue(similarities);
		}

		classifyCache.put(key, cat);
		return cat;
	}

	public static int getCategoryWithMostVotes(HashBag<Integer> votes) {
		int max = Integer.MIN_VALUE;