/*
* 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.flink.examples.java.ml.util;
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.text.DecimalFormat;
import java.util.Locale;
import java.util.Random;
/**
* Generates data for the {@link org.apache.flink.examples.java.ml.LinearRegression} example program.
*/
public class LinearRegressionDataGenerator {
static {
Locale.setDefault(Locale.US);
}
private static final String POINTS_FILE = "data";
private static final long DEFAULT_SEED = 4650285087650871364L;
private static final int DIMENSIONALITY = 1;
private static final DecimalFormat FORMAT = new DecimalFormat("#0.00");
private static final char DELIMITER = ' ';
/**
* Main method to generate data for the {@link org.apache.flink.examples.java.ml.LinearRegression} example program.
* <p>
* The generator creates to files:
* <ul>
* <li><code>{tmp.dir}/data</code> for the data points
* </ul>
*
* @param args
* <ol>
* <li>Int: Number of data points
* <li><b>Optional</b> Long: Random seed
* </ol>
*/
public static void main(String[] args) throws IOException {
// check parameter count
if (args.length < 1) {
System.out.println("LinearRegressionDataGenerator <numberOfDataPoints> [<seed>]");
System.exit(1);
}
// parse parameters
final int numDataPoints = Integer.parseInt(args[0]);
final long firstSeed = args.length > 1 ? Long.parseLong(args[4]) : DEFAULT_SEED;
final Random random = new Random(firstSeed);
final String tmpDir = System.getProperty("java.io.tmpdir");
// write the points out
BufferedWriter pointsOut = null;
try {
pointsOut = new BufferedWriter(new FileWriter(new File(tmpDir+"/"+POINTS_FILE)));
StringBuilder buffer = new StringBuilder();
// DIMENSIONALITY + 1 means that the number of x(dimensionality) and target y
double[] point = new double[DIMENSIONALITY+1];
for (int i = 1; i <= numDataPoints; i++) {
point[0] = random.nextGaussian();
point[1] = 2 * point[0] + 0.01*random.nextGaussian();
writePoint(point, buffer, pointsOut);
}
}
finally {
if (pointsOut != null) {
pointsOut.close();
}
}
System.out.println("Wrote "+numDataPoints+" data points to "+tmpDir+"/"+POINTS_FILE);
}
private static void writePoint(double[] data, StringBuilder buffer, BufferedWriter out) throws IOException {
buffer.setLength(0);
// write coordinates
for (int j = 0; j < data.length; j++) {
buffer.append(FORMAT.format(data[j]));
if(j < data.length - 1) {
buffer.append(DELIMITER);
}
}
out.write(buffer.toString());
out.newLine();
}
}