/* 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 cc.mallet.pipe;
import java.io.*;
import cc.mallet.types.FeatureSequence;
import cc.mallet.types.FeatureVector;
import cc.mallet.types.Instance;
// This class does not insist on getting its own Alphabet because it can rely on getting
// it from the FeatureSequence input.
/**
* Convert the data field from a feature sequence to a feature vector.
*/
public class FeatureSequence2FeatureVector extends Pipe implements Serializable
{
boolean binary;
public FeatureSequence2FeatureVector (boolean binary)
{
this.binary = binary;
}
public FeatureSequence2FeatureVector ()
{
this (false);
}
public Instance pipe (Instance carrier)
{
FeatureSequence fs = (FeatureSequence) carrier.getData();
carrier.setData(new FeatureVector (fs, binary));
return carrier;
}
// Serialization
private static final long serialVersionUID = 1;
private static final int CURRENT_SERIAL_VERSION = 1;
private void writeObject (ObjectOutputStream out) throws IOException {
out.writeInt (CURRENT_SERIAL_VERSION);
out.writeBoolean (binary);
}
private void readObject (ObjectInputStream in) throws IOException, ClassNotFoundException {
int version = in.readInt ();
if (version > 0)
binary = in.readBoolean();
}
}