Skip to main content

Class AggregateKMeansResponse

java.lang.Object
com.gpudb.protocol.AggregateKMeansResponse
All Implemented Interfaces:
org.apache.avro.generic.GenericContainer, org.apache.avro.generic.IndexedRecord

public class AggregateKMeansResponse extends Object implements org.apache.avro.generic.IndexedRecord
A set of results returned by GPUdb.aggregateKMeans.
  • Constructor Details

    • AggregateKMeansResponse

      public AggregateKMeansResponse()
      Constructs an AggregateKMeansResponse object with default parameters.
  • Method Details

    • getClassSchema

      public static org.apache.avro.Schema getClassSchema()
      This method supports the Avro framework and is not intended to be called directly by the user.
      Returns:
      The schema for the class.
    • getMeans

      public List<List<Double>> getMeans()
      The k-mean values found.
      Returns:
      The current value of means.
    • setMeans

      public AggregateKMeansResponse setMeans(List<List<Double>> means)
      The k-mean values found.
      Parameters:
      means - The new value for means.
      Returns:
      this to mimic the builder pattern.
    • getCounts

      public List<Long> getCounts()
      The number of elements in the cluster closest the corresponding k-means values.
      Returns:
      The current value of counts.
    • setCounts

      public AggregateKMeansResponse setCounts(List<Long> counts)
      The number of elements in the cluster closest the corresponding k-means values.
      Parameters:
      counts - The new value for counts.
      Returns:
      this to mimic the builder pattern.
    • getRmsDists

      public List<Double> getRmsDists()
      The root mean squared distance of the elements in the cluster for each of the k-means values.
      Returns:
      The current value of rmsDists.
    • setRmsDists

      public AggregateKMeansResponse setRmsDists(List<Double> rmsDists)
      The root mean squared distance of the elements in the cluster for each of the k-means values.
      Parameters:
      rmsDists - The new value for rmsDists.
      Returns:
      this to mimic the builder pattern.
    • getCount

      public long getCount()
      The total count of all the clusters - will be the size of the input table.
      Returns:
      The current value of count.
    • setCount

      public AggregateKMeansResponse setCount(long count)
      The total count of all the clusters - will be the size of the input table.
      Parameters:
      count - The new value for count.
      Returns:
      this to mimic the builder pattern.
    • getRmsDist

      public double getRmsDist()
      The sum of all the rms_dists - the value the k-means algorithm is attempting to minimize.
      Returns:
      The current value of rmsDist.
    • setRmsDist

      public AggregateKMeansResponse setRmsDist(double rmsDist)
      The sum of all the rms_dists - the value the k-means algorithm is attempting to minimize.
      Parameters:
      rmsDist - The new value for rmsDist.
      Returns:
      this to mimic the builder pattern.
    • getTolerance

      public double getTolerance()
      The distance between the last two iterations of the algorithm before it quit.
      Returns:
      The current value of tolerance.
    • setTolerance

      public AggregateKMeansResponse setTolerance(double tolerance)
      The distance between the last two iterations of the algorithm before it quit.
      Parameters:
      tolerance - The new value for tolerance.
      Returns:
      this to mimic the builder pattern.
    • getNumIters

      public int getNumIters()
      The number of iterations the algorithm executed before it quit.
      Returns:
      The current value of numIters.
    • setNumIters

      public AggregateKMeansResponse setNumIters(int numIters)
      The number of iterations the algorithm executed before it quit.
      Parameters:
      numIters - The new value for numIters.
      Returns:
      this to mimic the builder pattern.
    • getInfo

      public Map<String,String> getInfo()
      Additional information.The default value is an empty Map.
      Returns:
      The current value of info.
    • setInfo

      public AggregateKMeansResponse setInfo(Map<String,String> info)
      Additional information.The default value is an empty Map.
      Parameters:
      info - The new value for info.
      Returns:
      this to mimic the builder pattern.
    • getSchema

      public org.apache.avro.Schema getSchema()
      This method supports the Avro framework and is not intended to be called directly by the user.
      Specified by:
      getSchema in interface org.apache.avro.generic.GenericContainer
      Returns:
      The schema object describing this class.
    • get

      public Object get(int index)
      This method supports the Avro framework and is not intended to be called directly by the user.
      Specified by:
      get in interface org.apache.avro.generic.IndexedRecord
      Parameters:
      index - the position of the field to get
      Returns:
      value of the field with the given index.
      Throws:
    • put

      public void put(int index, Object value)
      This method supports the Avro framework and is not intended to be called directly by the user.
      Specified by:
      put in interface org.apache.avro.generic.IndexedRecord
      Parameters:
      index - the position of the field to set
      value - the value to set
      Throws:
    • equals

      public boolean equals(Object obj)
      Overrides:
      equals in class Object
    • toString

      public String toString()
      Overrides:
      toString in class Object
    • hashCode

      public int hashCode()
      Overrides:
      hashCode in class Object