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Scalable machine learning libraries
/**
* 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.spectral;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import org.apache.hadoop.io.Writable;
/**
* This class is a Writable implementation of the mahout.common.Pair
* generic class. Since the generic types would also themselves have to
* implement Writable, it made more sense to create a more specialized
* version of the class altogether.
*
* In essence, this can be treated as a single Vector Element.
*/
public class IntDoublePairWritable implements Writable {
private int key;
private double value;
public IntDoublePairWritable() {
}
public IntDoublePairWritable(int k, double v) {
this.key = k;
this.value = v;
}
public void setKey(int k) {
this.key = k;
}
public void setValue(double v) {
this.value = v;
}
@Override
public void readFields(DataInput in) throws IOException {
this.key = in.readInt();
this.value = in.readDouble();
}
@Override
public void write(DataOutput out) throws IOException {
out.writeInt(key);
out.writeDouble(value);
}
public int getKey() {
return key;
}
public double getValue() {
return value;
}
}
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