Java Code Examples for org.apache.commons.math3.exception.util.LocalizedFormats#NO_BIN_SELECTED

The following examples show how to use org.apache.commons.math3.exception.util.LocalizedFormats#NO_BIN_SELECTED . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: EmpiricalDistribution.java    From astor with GNU General Public License v2.0 6 votes vote down vote up 
/**
 * Generates a random value from this distribution.
 * <strong>Preconditions:</strong><ul>
 * <li>the distribution must be loaded before invoking this method</li></ul>
 * @return the random value.
 * @throws MathIllegalStateException if the distribution has not been loaded
 */
public double getNextValue() throws MathIllegalStateException {

    if (!loaded) {
        throw new MathIllegalStateException(LocalizedFormats.DISTRIBUTION_NOT_LOADED);
    }

    // Start with a uniformly distributed random number in (0,1)
    final double x = randomData.nextUniform(0,1);

    // Use this to select the bin and generate a Gaussian within the bin
    for (int i = 0; i < binCount; i++) {
       if (x <= upperBounds[i]) {
           SummaryStatistics stats = binStats.get(i);
           if (stats.getN() > 0) {
               if (stats.getStandardDeviation() > 0) {  // more than one obs
                   return randomData.nextGaussian(stats.getMean(),
                                                  stats.getStandardDeviation());
               } else {
                   return stats.getMean(); // only one obs in bin
               }
           }
       }
    }
    throw new MathIllegalStateException(LocalizedFormats.NO_BIN_SELECTED);
}
Example 2
Source File: EmpiricalDistribution.java    From astor with GNU General Public License v2.0 6 votes vote down vote up 
/**
 * Generates a random value from this distribution.
 * <strong>Preconditions:</strong><ul>
 * <li>the distribution must be loaded before invoking this method</li></ul>
 * @return the random value.
 * @throws MathIllegalStateException if the distribution has not been loaded
 */
public double getNextValue() throws MathIllegalStateException {

    if (!loaded) {
        throw new MathIllegalStateException(LocalizedFormats.DISTRIBUTION_NOT_LOADED);
    }

    // Start with a uniformly distributed random number in (0,1)
    double x = randomData.nextUniform(0,1);

    // Use this to select the bin and generate a Gaussian within the bin
    for (int i = 0; i < binCount; i++) {
       if (x <= upperBounds[i]) {
           SummaryStatistics stats = binStats.get(i);
           if (stats.getN() > 0) {
               if (stats.getStandardDeviation() > 0) {  // more than one obs
                    return randomData.nextGaussian
                        (stats.getMean(),stats.getStandardDeviation());
               } else {
                   return stats.getMean(); // only one obs in bin
               }
           }
       }
    }
    throw new MathIllegalStateException(LocalizedFormats.NO_BIN_SELECTED);
}
Example 3
Source File: EmpiricalDistribution.java    From astor with GNU General Public License v2.0 6 votes vote down vote up 
/**
 * Generates a random value from this distribution.
 * <strong>Preconditions:</strong><ul>
 * <li>the distribution must be loaded before invoking this method</li></ul>
 * @return the random value.
 * @throws MathIllegalStateException if the distribution has not been loaded
 */
public double getNextValue() throws MathIllegalStateException {

    if (!loaded) {
        throw new MathIllegalStateException(LocalizedFormats.DISTRIBUTION_NOT_LOADED);
    }

    // Start with a uniformly distributed random number in (0,1)
    final double x = randomData.nextUniform(0,1);

    // Use this to select the bin and generate a Gaussian within the bin
    for (int i = 0; i < binCount; i++) {
       if (x <= upperBounds[i]) {
           SummaryStatistics stats = binStats.get(i);
           if (stats.getN() > 0) {
               if (stats.getStandardDeviation() > 0) {  // more than one obs
                   return getKernel(stats).sample();
               } else {
                   return stats.getMean(); // only one obs in bin
               }
           }
       }
    }
    throw new MathIllegalStateException(LocalizedFormats.NO_BIN_SELECTED);
}
Example 4
Source File: EmpiricalDistribution.java    From astor with GNU General Public License v2.0 6 votes vote down vote up 
/**
 * Generates a random value from this distribution.
 * <strong>Preconditions:</strong><ul>
 * <li>the distribution must be loaded before invoking this method</li></ul>
 * @return the random value.
 * @throws MathIllegalStateException if the distribution has not been loaded
 */
public double getNextValue() throws MathIllegalStateException {

    if (!loaded) {
        throw new MathIllegalStateException(LocalizedFormats.DISTRIBUTION_NOT_LOADED);
    }

    // Start with a uniformly distributed random number in (0,1)
    double x = randomData.nextUniform(0,1);

    // Use this to select the bin and generate a Gaussian within the bin
    for (int i = 0; i < binCount; i++) {
       if (x <= upperBounds[i]) {
           SummaryStatistics stats = binStats.get(i);
           if (stats.getN() > 0) {
               if (stats.getStandardDeviation() > 0) {  // more than one obs
                    return randomData.nextGaussian
                        (stats.getMean(),stats.getStandardDeviation());
               } else {
                   return stats.getMean(); // only one obs in bin
               }
           }
       }
    }
    throw new MathIllegalStateException(LocalizedFormats.NO_BIN_SELECTED);
}
Example 5
Source File: EmpiricalDistribution.java    From astor with GNU General Public License v2.0 6 votes vote down vote up 
/**
 * Generates a random value from this distribution.
 * <strong>Preconditions:</strong><ul>
 * <li>the distribution must be loaded before invoking this method</li></ul>
 * @return the random value.
 * @throws MathIllegalStateException if the distribution has not been loaded
 */
public double getNextValue() throws MathIllegalStateException {

    if (!loaded) {
        throw new MathIllegalStateException(LocalizedFormats.DISTRIBUTION_NOT_LOADED);
    }

    // Start with a uniformly distributed random number in (0,1)
    final double x = randomData.nextUniform(0,1);

    // Use this to select the bin and generate a Gaussian within the bin
    for (int i = 0; i < binCount; i++) {
       if (x <= upperBounds[i]) {
           SummaryStatistics stats = binStats.get(i);
           if (stats.getN() > 0) {
               if (stats.getStandardDeviation() > 0) {  // more than one obs
                   return getKernel(stats).sample();
               } else {
                   return stats.getMean(); // only one obs in bin
               }
           }
       }
    }
    throw new MathIllegalStateException(LocalizedFormats.NO_BIN_SELECTED);
}
Example 6
Source File: EmpiricalDistribution.java    From astor with GNU General Public License v2.0 6 votes vote down vote up 
/**
 * Generates a random value from this distribution.
 * <strong>Preconditions:</strong><ul>
 * <li>the distribution must be loaded before invoking this method</li></ul>
 * @return the random value.
 * @throws MathIllegalStateException if the distribution has not been loaded
 */
public double getNextValue() throws MathIllegalStateException {

    if (!loaded) {
        throw new MathIllegalStateException(LocalizedFormats.DISTRIBUTION_NOT_LOADED);
    }

    // Start with a uniformly distributed random number in (0,1)
    final double x = randomData.nextUniform(0,1);

    // Use this to select the bin and generate a Gaussian within the bin
    for (int i = 0; i < binCount; i++) {
       if (x <= upperBounds[i]) {
           SummaryStatistics stats = binStats.get(i);
           if (stats.getN() > 0) {
               if (stats.getStandardDeviation() > 0) {  // more than one obs
                   return getKernel(stats).sample();
               } else {
                   return stats.getMean(); // only one obs in bin
               }
           }
       }
    }
    throw new MathIllegalStateException(LocalizedFormats.NO_BIN_SELECTED);
}