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/**
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.mahout.clustering.classify;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import org.apache.hadoop.io.Writable;
import org.apache.mahout.clustering.AbstractCluster;
import org.apache.mahout.math.Vector;
import org.apache.mahout.math.VectorWritable;
public class WeightedVectorWritable implements Writable {
private final VectorWritable vectorWritable = new VectorWritable();
private double weight;
public WeightedVectorWritable() {
}
public WeightedVectorWritable(double weight, Vector vector) {
this.vectorWritable.set(vector);
this.weight = weight;
}
public Vector getVector() {
return vectorWritable.get();
}
public void setVector(Vector vector) {
vectorWritable.set(vector);
}
public double getWeight() {
return weight;
}
@Override
public void readFields(DataInput in) throws IOException {
vectorWritable.readFields(in);
weight = in.readDouble();
}
@Override
public void write(DataOutput out) throws IOException {
vectorWritable.write(out);
out.writeDouble(weight);
}
@Override
public String toString() {
Vector vector = vectorWritable.get();
return weight + ": " + (vector == null ? "null" : AbstractCluster.formatVector(vector, null));
}
}
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