private String getMaxHiddenVariable(String frame, int[] intTokNums, String[][] data) {
THashSet<String> hiddenUnits = mFrameMap.get(frame);
String maxHV = null;
double maxVal = -Double.MAX_VALUE;
DependencyParse parse = DependencyParse.processFN(data, 0.0);
for (String unit : hiddenUnits) {
FeatureExtractor featex = new FeatureExtractor();
IntCounter<String> valMap =
featex.extractFeaturesLessMemory(
frame,
intTokNums,
unit,
data,
"test",
mRelatedWordsForWord,
mRevisedRelationsMap,
mHVLemmas,
parse);
Set<String> features = valMap.keySet();
double featSum = 0.0;
for (String feat : features) {
double val = valMap.getT(feat);
int ind = localA.get(feat);
double paramVal = V[ind].exponentiate();
double prod = val * paramVal;
featSum += prod;
}
double expVal = Math.exp(featSum);
if (expVal > maxVal) {
maxVal = expVal;
maxHV = unit;
}
}
return maxHV;
}
private double getValueForFrame(String frame, int[] intTokNums, String[][] data) {
THashSet<String> hiddenUnits = mFrameMap.get(frame);
double result = 0.0;
DependencyParse parse = DependencyParse.processFN(data, 0.0);
for (String unit : hiddenUnits) {
IntCounter<String> valMap = null;
FeatureExtractor featex = new FeatureExtractor();
if (clusterMap == null) {
valMap =
featex.extractFeaturesLessMemory(
frame,
intTokNums,
unit,
data,
"test",
mRelatedWordsForWord,
mRevisedRelationsMap,
mHVLemmas,
parse);
} else { // not supported
valMap =
featex.extractFeaturesWithClusters(
frame, intTokNums, unit, data, mWNR, "test", null, null, parse, clusterMap, K);
}
Set<String> features = valMap.keySet();
double featSum = 0.0;
for (String feat : features) {
double val = valMap.getT(feat);
int ind = localA.get(feat);
double paramVal = V[ind].exponentiate();
double prod = val * paramVal;
featSum += prod;
}
double expVal = Math.exp(featSum);
result += expVal;
}
return result;
}
