Examples of LogNormalDistribution

com.facebook.LinkBench.distributions.LogNormalDistribution
org.apache.commons.math3.distribution.LogNormalDistribution
pedia.org/wiki/Log-normal_distribution"> Log-normal distribution (Wikipedia) @see Log Normal distribution (MathWorld) @since 3.0

Examples of com.facebook.LinkBench.distributions.LogNormalDistribution


    debuglevel = ConfigUtil.getDebugLevel(props);


    double medianLinkDataSize = ConfigUtil.getDouble(props,
                                              Config.LINK_DATASIZE);
    linkDataSize = new LogNormalDistribution();
    linkDataSize.init(0, LinkStore.MAX_LINK_DATA, medianLinkDataSize,
                                         Config.LINK_DATASIZE_SIGMA);


    try {
      linkDataGen = ClassLoadUtil.newInstance(

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Examples of com.facebook.LinkBench.distributions.LogNormalDistribution


  private void initLinkDataGeneration(Properties props) {
    try {
      double medLinkDataSize = ConfigUtil.getDouble(props,
                                            Config.LINK_DATASIZE);
      linkDataSize = new LogNormalDistribution();
      linkDataSize.init(0, LinkStore.MAX_LINK_DATA, medLinkDataSize,
                           Config.LINK_DATASIZE_SIGMA);
      linkAddDataGen = ClassLoadUtil.newInstance(
          ConfigUtil.getPropertyRequired(props, Config.LINK_ADD_DATAGEN),
          DataGenerator.class);

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Examples of com.facebook.LinkBench.distributions.LogNormalDistribution


  private void initNodeDataGeneration(Properties props) {
    try {
      double medNodeDataSize = ConfigUtil.getDouble(props,
                                              Config.NODE_DATASIZE);
      nodeDataSize = new LogNormalDistribution();
      nodeDataSize.init(0, NodeStore.MAX_NODE_DATA, medNodeDataSize,
                        Config.NODE_DATASIZE_SIGMA);


      String dataGenClass = ConfigUtil.getPropertyRequired(props,
                                         Config.NODE_ADD_DATAGEN);

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Examples of com.facebook.LinkBench.distributions.LogNormalDistribution

    this.rng = rng;
    this.latencyStats = latencyStats;
    this.loaderId = loaderId;


    double medianDataLength = ConfigUtil.getDouble(props, Config.NODE_DATASIZE);
    nodeDataLength = new LogNormalDistribution();
    nodeDataLength.init(0, NodeStore.MAX_NODE_DATA, medianDataLength,
                                          Config.NODE_DATASIZE_SIGMA);


    try {
      nodeDataGen = ClassLoadUtil.newInstance(

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Examples of com.facebook.LinkBench.distributions.LogNormalDistribution


public class LogNormalTest extends DistributionTestBase {


  @Override
  protected ProbabilityDistribution getDist() {
    return new LogNormalDistribution();
  }

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Examples of com.facebook.LinkBench.distributions.LogNormalDistribution


  /**
   * Sanity check values
   */
  public void testLogNormal() {
    LogNormalDistribution d = new LogNormalDistribution();
    int median = 10;
    d.init(0, 100, median, 1);
    // CDF of median should be 0.5 by def.
    assertEquals(0.5, d.cdf(median), 0.01);




    // Precomputed points
    d.init(0, 1000, 100, 1);
    assertEquals(0.033434, d.cdf(16), 0.0001);
    assertEquals(0.327695, d.cdf(64), 0.0001);
    assertEquals(0.597491, d.cdf(128), 0.0001);
    assertEquals(0.94878, d.cdf(512), 0.0001);
  }

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Examples of org.apache.commons.math3.distribution.LogNormalDistribution

     * Test Various Dist
     */
    @Test
    public void testDistribution() {
        doDistributionTest(new NormalDistribution(randomGenerator, 4000, 50));
        doDistributionTest(new LogNormalDistribution(randomGenerator,4000, 50));
        // doDistributionTest((new ExponentialDistribution(4000));
        // doDistributionTest(new GammaDistribution(5d,1d),0.1);
    }

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Examples of org.apache.commons.math3.distribution.LogNormalDistribution


            c.gridy++;
            c.gridx = 0;
            comp = createComponent("Log-Normal", 0, 3,
                                   new String[] { "μ=0,σ\u00B2=10", "μ=0,σ\u00B2=1.5", "μ=0,σ\u00B2=1", "μ=0,σ\u00B2=0.5", "μ=0,σ\u00B2=0.25", "μ=0,σ\u00B2=0.125" },
                                   new LogNormalDistribution(0, 10),
                                   new LogNormalDistribution(0, 1.5),
                                   new LogNormalDistribution(0, 1),
                                   new LogNormalDistribution(0, 0.5),
                                   new LogNormalDistribution(0, 0.25),
                                   new LogNormalDistribution(0, 0.125));
            container.add(comp, c);


            c.gridx++;
            comp = createComponent("Pareto", 0, 5,
                                   new String[] { "x=1,α=1", "x=1,α=2", "x=1,α=3", "x=1,α=10" },

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