Example usage for org.apache.commons.math.random GaussianRandomGenerator GaussianRandomGenerator

Introduction

In this page you can find the example usage for org.apache.commons.math.random GaussianRandomGenerator GaussianRandomGenerator.

Prototype

public GaussianRandomGenerator(final RandomGenerator generator) 

Source Link

Document

Create a new generator.

Usage

From source file:com.tomgibara.cluster.CreateGaussianMouse.java

public static void main(String[] args) throws IOException {
    GaussianRandomGenerator gen = new GaussianRandomGenerator(new JDKRandomGenerator());
    FileWriter writer = new FileWriter("R/gmouse.txt");
    try {//from www .  j a v  a  2  s . c  o  m
        writeCluster(gen, new double[] { 0, 0 }, new double[] { 4, 4 }, 100, writer);
        writeCluster(gen, new double[] { -4, 4 }, new double[] { 2, 2 }, 50, writer);
        writeCluster(gen, new double[] { 4, 4 }, new double[] { 2, 2 }, 50, writer);
    } finally {
        writer.close();
    }
}

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From source file:com.tomgibara.cluster.CreateGaussianCross.java

public static void main(String[] args) throws IOException {
    GaussianRandomGenerator gen = new GaussianRandomGenerator(new JDKRandomGenerator());
    final double[] center = new double[] { 0, 0 };
    int clusterSize = 300;
    FileWriter writer = new FileWriter("R/cross.txt");
    try {/*from   w w  w .  jav  a  2s  . c om*/
        writeCluster(gen, center, new double[] { 6, 1 }, clusterSize, writer);
        writeCluster(gen, center, new double[] { 1, 6 }, clusterSize, writer);
    } finally {
        writer.close();
    }
}

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From source file:org.apache.hadoop.hbase.regionserver.compactions.GaussianFileListGenerator.java

@Override
public Iterator<List<StoreFile>> iterator() {
    return new Iterator<List<StoreFile>>() {
        private GaussianRandomGenerator gen = new GaussianRandomGenerator(
                new MersenneTwister(random.nextInt()));
        private int count = 0;

        @Override/*  w ww.j a  v  a2s  .  co m*/
        public boolean hasNext() {
            return count < MAX_FILE_GEN_ITERS;
        }

        @Override
        public List<StoreFile> next() {
            count += 1;
            ArrayList<StoreFile> files = new ArrayList<StoreFile>(NUM_FILES_GEN);
            for (int i = 0; i < NUM_FILES_GEN; i++) {
                files.add(createMockStoreFile(
                        (int) Math.ceil(Math.max(0, gen.nextNormalizedDouble() * 32 + 32))));
            }

            return files;
        }

        @Override
        public void remove() {
        }
    };
}

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From source file:org.apache.metron.common.math.stats.OnlineStatisticsProviderTest.java

@Test
public void testNormallyDistributedRandomData() {
    List<Double> values = new ArrayList<>();
    GaussianRandomGenerator gaussian = new GaussianRandomGenerator(new MersenneTwister(0L));
    for (int i = 0; i < 1000000; ++i) {
        double d = gaussian.nextNormalizedDouble();
        values.add(d);//from ww w .  j  a  v  a 2  s .  c o m
    }
    validateEquality(values);
}

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From source file:org.apache.metron.common.math.stats.OnlineStatisticsProviderTest.java

@Test
public void testNormallyDistributedRandomDataShifted() {
    List<Double> values = new ArrayList<>();
    GaussianRandomGenerator gaussian = new GaussianRandomGenerator(new MersenneTwister(0L));
    for (int i = 0; i < 1000000; ++i) {
        double d = gaussian.nextNormalizedDouble() + 10;
        values.add(d);/*from w  w  w.  j  a v a 2s.co m*/
    }
    validateEquality(values);
}

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From source file:org.apache.metron.common.math.stats.OnlineStatisticsProviderTest.java

@Test
public void testNormallyDistributedRandomDataShiftedBackwards() {
    List<Double> values = new ArrayList<>();
    GaussianRandomGenerator gaussian = new GaussianRandomGenerator(new MersenneTwister(0L));
    for (int i = 0; i < 1000000; ++i) {
        double d = gaussian.nextNormalizedDouble() - 10;
        values.add(d);//w w w .j  a  va 2 s .com
    }
    validateEquality(values);
}

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From source file:org.apache.metron.common.math.stats.OnlineStatisticsProviderTest.java

@Test
public void testNormallyDistributedRandomDataSkewed() {
    List<Double> values = new ArrayList<>();
    GaussianRandomGenerator gaussian = new GaussianRandomGenerator(new MersenneTwister(0L));
    for (int i = 0; i < 1000000; ++i) {
        double d = (gaussian.nextNormalizedDouble() + 10000) / 1000;
        values.add(d);/* w  w  w.  ja  v a 2 s . c  o m*/
    }
    validateEquality(values);
}

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From source file:org.apache.metron.common.math.stats.OnlineStatisticsProviderTest.java

@Test
public void testNormallyDistributedRandomDataAllNegative() {
    List<Double> values = new ArrayList<>();
    GaussianRandomGenerator gaussian = new GaussianRandomGenerator(new MersenneTwister(0L));
    for (int i = 0; i < 1000000; ++i) {
        double d = -1 * gaussian.nextNormalizedDouble();
        values.add(d);// w w  w  .ja  va 2s .  com
    }
    validateEquality(values);
}

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