//JAVA TO C# CONVERTER WARNING: Method 'throws' clauses are not available in .NET:
//ORIGINAL LINE: public boolean predict(org.maltparser.core.feature.FeatureVector featureVector, org.maltparser.parser.history.action.SingleDecision decision, boolean one_prediction) throws org.maltparser.core.exception.MaltChainedException
public virtual bool predict(FeatureVector featureVector, SingleDecision decision, bool one_prediction)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final java.util.ArrayList<org.maltparser.ml.lib.MaltFeatureNode> featureList = new java.util.ArrayList<org.maltparser.ml.lib.MaltFeatureNode>();
List <MaltFeatureNode> featureList = new List <MaltFeatureNode>();
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int size = featureVector.size();
int size = featureVector.Count;
for (int i = 1; i <= size; i++)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final org.maltparser.core.feature.value.FeatureValue featureValue = featureVector.getFeatureValue(i-1);
FeatureValue featureValue = featureVector.GetFeatureValue(i - 1);
if (featureValue != null && !(excludeNullValues == true && featureValue.NullValue))
{
if (!featureValue.Multiple)
{
SingleFeatureValue singleFeatureValue = (SingleFeatureValue)featureValue;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int index = featureMap.getIndex(i, singleFeatureValue.getIndexCode());
int index = featureMap.getIndex(i, singleFeatureValue.IndexCode);
if (index != -1 && singleFeatureValue.Value != 0)
{
featureList.Add(new MaltFeatureNode(index, singleFeatureValue.Value));
}
}
else
{
foreach (int?value in ((MultipleFeatureValue)featureValue).Codes)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int v = featureMap.getIndex(i, value);
int v = featureMap.getIndex(i, value.Value);
if (v != -1)
{
featureList.Add(new MaltFeatureNode(v, 1));
}
}
}
}
}
try
{
if (one_prediction)
{
decision.KBestList.add(model.predict_one(featureList.ToArray()));
}
else
{
decision.KBestList.addList(model.predict(featureList.ToArray()));
}
}
catch (System.OutOfMemoryException e)
{
throw new LibException("Out of memory. Please increase the Java heap size (-Xmx<size>). ", e);
}
return(true);
}