Java 类weka.core.neighboursearch.PerformanceStats 实例源码

项目:repo.kmeanspp.silhouette_score    文件:FilteredDistance.java   
/**
 * Calculates the distance between two instances. Offers speed up (if the
 * distance function class in use supports it) in nearest neighbour search by
 * taking into account the cutOff or maximum distance. Depending on the
 * distance function class, post processing of the distances by
 * postProcessDistances(double []) may be required if this function is used.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param cutOffValue If the distance being calculated becomes larger than
 *          cutOffValue then the rest of the calculation is discarded.
 * @param stats the performance stats object
 * @return the distance between the two given instances or
 *         Double.POSITIVE_INFINITY if the distance being calculated becomes
 *         larger than cutOffValue.
 */
public double distance(Instance first, Instance second, double cutOffValue,
                       PerformanceStats stats) {

  try {
    m_Remove.input(first);
    m_Filter.input(m_Remove.output());
    Instance firstFiltered = m_Filter.output();
    m_Remove.input(second);
    m_Filter.input(m_Remove.output());
    Instance secondFiltered = m_Filter.output();
    return m_Distance.distance(firstFiltered, secondFiltered, cutOffValue, stats);
  } catch (Exception e) {
    e.printStackTrace();
    return -1;
  }
}
项目:umple    文件:FilteredDistance.java   
/**
 * Calculates the distance between two instances. Offers speed up (if the
 * distance function class in use supports it) in nearest neighbour search by
 * taking into account the cutOff or maximum distance. Depending on the
 * distance function class, post processing of the distances by
 * postProcessDistances(double []) may be required if this function is used.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param cutOffValue If the distance being calculated becomes larger than
 *          cutOffValue then the rest of the calculation is discarded.
 * @param stats the performance stats object
 * @return the distance between the two given instances or
 *         Double.POSITIVE_INFINITY if the distance being calculated becomes
 *         larger than cutOffValue.
 */
public double distance(Instance first, Instance second, double cutOffValue,
                       PerformanceStats stats) {

  try {
    m_Remove.input(first);
    m_Filter.input(m_Remove.output());
    Instance firstFiltered = m_Filter.output();
    m_Remove.input(second);
    m_Filter.input(m_Remove.output());
    Instance secondFiltered = m_Filter.output();
    return m_Distance.distance(firstFiltered, secondFiltered, cutOffValue, stats);
  } catch (Exception e) {
    e.printStackTrace();
    return -1;
  }
}
项目:repo.kmeanspp.silhouette_score    文件:MinkowskiDistance.java   
/**
 * Calculates the distance (or similarity) between two instances. Need to pass
 * this returned distance later on to postprocess method to set it on correct
 * scale. <br/>
 * P.S.: Please don't mix the use of this function with distance(Instance
 * first, Instance second), as that already does post processing. Please
 * consider passing Double.POSITIVE_INFINITY as the cutOffValue to this
 * function and then later on do the post processing on all the distances.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param stats the structure for storing performance statistics.
 * @return the distance between the two given instances or
 *         Double.POSITIVE_INFINITY.
 */
@Override
public double distance(Instance first, Instance second, PerformanceStats stats) { // debug
                                                                                  // method
                                                                                  // pls
                                                                                  // remove
                                                                                  // after
                                                                                  // use
  return Math.pow(distance(first, second, Double.POSITIVE_INFINITY, stats),
    1 / m_Order);
}
项目:umple    文件:MinkowskiDistance.java   
/**
 * Calculates the distance (or similarity) between two instances. Need to pass
 * this returned distance later on to postprocess method to set it on correct
 * scale. <br/>
 * P.S.: Please don't mix the use of this function with distance(Instance
 * first, Instance second), as that already does post processing. Please
 * consider passing Double.POSITIVE_INFINITY as the cutOffValue to this
 * function and then later on do the post processing on all the distances.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param stats the structure for storing performance statistics.
 * @return the distance between the two given instances or
 *         Double.POSITIVE_INFINITY.
 */
@Override
public double distance(Instance first, Instance second, PerformanceStats stats) { // debug
                                                                                  // method
                                                                                  // pls
                                                                                  // remove
                                                                                  // after
                                                                                  // use
  return Math.pow(distance(first, second, Double.POSITIVE_INFINITY, stats),
    1 / m_Order);
}
项目:repo.kmeanspp.silhouette_score    文件:FilteredDistance.java   
/**
 * Calculates the distance between two instances.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param stats the performance stats object
 * @return the distance between the two given instances
 * @throws Exception if calculation fails
 */
public double distance(Instance first, Instance second, PerformanceStats stats)
  throws Exception {

  return distance(first, second, Double.POSITIVE_INFINITY, stats);
}
项目:repo.kmeanspp.silhouette_score    文件:EuclideanDistance.java   
/**
 * Calculates the distance (or similarity) between two instances. Need to
 * pass this returned distance later on to postprocess method to set it on
 * correct scale. <br/>
 * P.S.: Please don't mix the use of this function with
 * distance(Instance first, Instance second), as that already does post
 * processing. Please consider passing Double.POSITIVE_INFINITY as the cutOffValue to
 * this function and then later on do the post processing on all the
 * distances.
 *
 * @param first     the first instance
 * @param second    the second instance
 * @param stats     the structure for storing performance statistics.
 * @return      the distance between the two given instances or 
 *          Double.POSITIVE_INFINITY.
 */
public double distance(Instance first, Instance second, PerformanceStats stats) { //debug method pls remove after use
  return Math.sqrt(distance(first, second, Double.POSITIVE_INFINITY, stats));
}
项目:repo.kmeanspp.silhouette_score    文件:DistanceFunction.java   
/**
 * Calculates the distance between two instances.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param stats the performance stats object
 * @return the distance between the two given instances
 * @throws Exception if calculation fails
 */
public double distance(Instance first, Instance second, PerformanceStats stats)
  throws Exception;
项目:repo.kmeanspp.silhouette_score    文件:DistanceFunction.java   
/**
 * Calculates the distance between two instances. Offers speed up (if the
 * distance function class in use supports it) in nearest neighbour search by
 * taking into account the cutOff or maximum distance. Depending on the
 * distance function class, post processing of the distances by
 * postProcessDistances(double []) may be required if this function is used.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param cutOffValue If the distance being calculated becomes larger than
 *          cutOffValue then the rest of the calculation is discarded.
 * @param stats the performance stats object
 * @return the distance between the two given instances or
 *         Double.POSITIVE_INFINITY if the distance being calculated becomes
 *         larger than cutOffValue.
 */
public double distance(Instance first, Instance second, double cutOffValue,
  PerformanceStats stats);
项目:repo.kmeanspp.silhouette_score    文件:NormalizableDistance.java   
/**
 * Calculates the distance between two instances.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param stats the performance stats object
 * @return the distance between the two given instances
 */
@Override
public double distance(Instance first, Instance second, PerformanceStats stats) {
  return distance(first, second, Double.POSITIVE_INFINITY, stats);
}
项目:autoweka    文件:EuclideanDistance.java   
/**
 * Calculates the distance (or similarity) between two instances. Need to
 * pass this returned distance later on to postprocess method to set it on
 * correct scale. <br/>
 * P.S.: Please don't mix the use of this function with
 * distance(Instance first, Instance second), as that already does post
 * processing. Please consider passing Double.POSITIVE_INFINITY as the cutOffValue to
 * this function and then later on do the post processing on all the
 * distances.
 *
 * @param first     the first instance
 * @param second    the second instance
 * @param stats     the structure for storing performance statistics.
 * @return      the distance between the two given instances or 
 *          Double.POSITIVE_INFINITY.
 */
public double distance(Instance first, Instance second, PerformanceStats stats) { //debug method pls remove after use
  return Math.sqrt(distance(first, second, Double.POSITIVE_INFINITY, stats));
}
项目:autoweka    文件:DistanceFunction.java   
/**
 * Calculates the distance between two instances.
 * 
 * @param first     the first instance
 * @param second    the second instance
 * @param stats     the performance stats object
 * @return      the distance between the two given instances
 * @throws Exception    if calculation fails
 */
public double distance(Instance first, Instance second, PerformanceStats stats) 
    throws Exception;
项目:autoweka    文件:DistanceFunction.java   
/**
 * Calculates the distance between two instances. Offers speed up (if the 
 * distance function class in use supports it) in nearest neighbour search by 
 * taking into account the cutOff or maximum distance. Depending on the 
 * distance function class, post processing of the distances by 
 * postProcessDistances(double []) may be required if this function is used.
 *
 * @param first     the first instance
 * @param second    the second instance
 * @param cutOffValue If the distance being calculated becomes larger than 
 *                    cutOffValue then the rest of the calculation is 
 *                    discarded.
 * @param stats     the performance stats object
 * @return      the distance between the two given instances or 
 *          Double.POSITIVE_INFINITY if the distance being 
 *          calculated becomes larger than cutOffValue. 
 */
public double distance(Instance first, Instance second, 
    double cutOffValue, PerformanceStats stats);
项目:autoweka    文件:MinkowskiDistance.java   
/**
 * Calculates the distance (or similarity) between two instances. Need to
 * pass this returned distance later on to postprocess method to set it on
 * correct scale. <br/>
 * P.S.: Please don't mix the use of this function with
 * distance(Instance first, Instance second), as that already does post
 * processing. Please consider passing Double.POSITIVE_INFINITY as the cutOffValue to
 * this function and then later on do the post processing on all the
 * distances.
 *
 * @param first     the first instance
 * @param second    the second instance
 * @param stats     the structure for storing performance statistics.
 * @return      the distance between the two given instances or 
 *          Double.POSITIVE_INFINITY.
 */
public double distance(Instance first, Instance second, PerformanceStats stats) { //debug method pls remove after use
  return Math.pow(distance(first, second, Double.POSITIVE_INFINITY, stats), 1/m_Order);
}
项目:autoweka    文件:NormalizableDistance.java   
/**
 * Calculates the distance between two instances.
 * 
 * @param first     the first instance
 * @param second    the second instance
 * @param stats     the performance stats object
 * @return      the distance between the two given instances
 */
public double distance(Instance first, Instance second, PerformanceStats stats) {
  return distance(first, second, Double.POSITIVE_INFINITY, stats);
}
项目:umple    文件:FilteredDistance.java   
/**
 * Calculates the distance between two instances.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param stats the performance stats object
 * @return the distance between the two given instances
 * @throws Exception if calculation fails
 */
public double distance(Instance first, Instance second, PerformanceStats stats)
  throws Exception {

  return distance(first, second, Double.POSITIVE_INFINITY, stats);
}
项目:umple    文件:EuclideanDistance.java   
/**
 * Calculates the distance (or similarity) between two instances. Need to
 * pass this returned distance later on to postprocess method to set it on
 * correct scale. <br/>
 * P.S.: Please don't mix the use of this function with
 * distance(Instance first, Instance second), as that already does post
 * processing. Please consider passing Double.POSITIVE_INFINITY as the cutOffValue to
 * this function and then later on do the post processing on all the
 * distances.
 *
 * @param first     the first instance
 * @param second    the second instance
 * @param stats     the structure for storing performance statistics.
 * @return      the distance between the two given instances or 
 *          Double.POSITIVE_INFINITY.
 */
public double distance(Instance first, Instance second, PerformanceStats stats) { //debug method pls remove after use
  return Math.sqrt(distance(first, second, Double.POSITIVE_INFINITY, stats));
}
项目:umple    文件:DistanceFunction.java   
/**
 * Calculates the distance between two instances.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param stats the performance stats object
 * @return the distance between the two given instances
 * @throws Exception if calculation fails
 */
public double distance(Instance first, Instance second, PerformanceStats stats)
  throws Exception;
项目:umple    文件:DistanceFunction.java   
/**
 * Calculates the distance between two instances. Offers speed up (if the
 * distance function class in use supports it) in nearest neighbour search by
 * taking into account the cutOff or maximum distance. Depending on the
 * distance function class, post processing of the distances by
 * postProcessDistances(double []) may be required if this function is used.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param cutOffValue If the distance being calculated becomes larger than
 *          cutOffValue then the rest of the calculation is discarded.
 * @param stats the performance stats object
 * @return the distance between the two given instances or
 *         Double.POSITIVE_INFINITY if the distance being calculated becomes
 *         larger than cutOffValue.
 */
public double distance(Instance first, Instance second, double cutOffValue,
  PerformanceStats stats);
项目:umple    文件:NormalizableDistance.java   
/**
 * Calculates the distance between two instances.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param stats the performance stats object
 * @return the distance between the two given instances
 */
@Override
public double distance(Instance first, Instance second, PerformanceStats stats) {
  return distance(first, second, Double.POSITIVE_INFINITY, stats);
}
项目:jbossBA    文件:EuclideanDistance.java   
/**
 * Calculates the distance (or similarity) between two instances. Need to
 * pass this returned distance later on to postprocess method to set it on
 * correct scale. <br/>
 * P.S.: Please don't mix the use of this function with
 * distance(Instance first, Instance second), as that already does post
 * processing. Please consider passing Double.POSITIVE_INFINITY as the cutOffValue to
 * this function and then later on do the post processing on all the
 * distances.
 *
 * @param first     the first instance
 * @param second    the second instance
 * @param stats     the structure for storing performance statistics.
 * @return      the distance between the two given instances or 
 *          Double.POSITIVE_INFINITY.
 */
public double distance(Instance first, Instance second, PerformanceStats stats) { //debug method pls remove after use
  return Math.sqrt(distance(first, second, Double.POSITIVE_INFINITY, stats));
}
项目:jbossBA    文件:DistanceFunction.java   
/**
 * Calculates the distance between two instances.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param stats the performance stats object
 * @return the distance between the two given instances
 * @throws Exception if calculation fails
 */
public double distance(Instance first, Instance second, PerformanceStats stats)
  throws Exception;
项目:jbossBA    文件:DistanceFunction.java   
/**
 * Calculates the distance between two instances. Offers speed up (if the
 * distance function class in use supports it) in nearest neighbour search by
 * taking into account the cutOff or maximum distance. Depending on the
 * distance function class, post processing of the distances by
 * postProcessDistances(double []) may be required if this function is used.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param cutOffValue If the distance being calculated becomes larger than
 *          cutOffValue then the rest of the calculation is discarded.
 * @param stats the performance stats object
 * @return the distance between the two given instances or
 *         Double.POSITIVE_INFINITY if the distance being calculated becomes
 *         larger than cutOffValue.
 */
public double distance(Instance first, Instance second, double cutOffValue,
  PerformanceStats stats);
项目:jbossBA    文件:NormalizableDistance.java   
/**
 * Calculates the distance between two instances.
 * 
 * @param first the first instance
 * @param second the second instance
 * @param stats the performance stats object
 * @return the distance between the two given instances
 */
@Override
public double distance(Instance first, Instance second, PerformanceStats stats) {
  return distance(first, second, Double.POSITIVE_INFINITY, stats);
}