Java tutorial
/** * Copyright 2012 Jee Vang * * Licensed 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 corr.writable; import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; import org.apache.hadoop.io.Writable; /** * Holds intermediary results of Pearson correlation. * @author Jee Vang * */ public class CIComputationWritable implements Writable { private double x; private String y; private double n; /** * Constructor. */ public CIComputationWritable() { this(0.0d, " ", 0.0d); } /** * Constructor. * @param x Sum of x. * @param y Sum of y. * @param n Total data points. */ public CIComputationWritable(double x, String y, double n) { this.x = x; this.y = y; this.n = n; } @Override public void readFields(DataInput in) throws IOException { y = in.readLine(); } @Override public void write(DataOutput out) throws IOException { out.writeBytes(getCorrelation().toString()); } @Override public String toString() { return (new StringBuilder()).append(getCorrelation()).toString(); } /** * Gets the computed Pearson correlation. * @return Pearson correlation. */ public String getCorrelation() { return y; } }