/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept.
This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit).
http://www.cs.umass.edu/~mccallum/mallet
This software is provided under the terms of the Common Public License,
version 1.0, as published by http://www.opensource.org. For further
information, see the file `LICENSE' included with this distribution. */
/**
@author Andrew McCallum <a href="mailto:mccallum@cs.umass.edu">mccallum@cs.umass.edu</a>
*/
package edu.nd.nina.graph.load;
import edu.nd.nina.types.AugmentableFeatureVector;
import edu.nd.nina.types.FeatureSequence;
import edu.nd.nina.types.Instance;
// This class does not insist on gettings its own Alphabet because it can rely on getting
// it from the FeatureSequence input.
/**
* Convert the data field from a feature sequence to an augmentable feature
* vector.
*/
public class FeatureSequence2AugmentableFeatureVector extends Pipe {
boolean binary;
public FeatureSequence2AugmentableFeatureVector(boolean binary) {
this.binary = binary;
}
public FeatureSequence2AugmentableFeatureVector() {
this(false);
}
public Instance pipe(Instance carrier) {
carrier.setData(new AugmentableFeatureVector((FeatureSequence) carrier
.getData(), binary));
return carrier;
}
}