com.gpudb.protocol

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(AggregateKMeansRequest).

Constructor Summary

Constructors

Constructor and Description
AggregateKMeansResponse() Constructs an AggregateKMeansResponse object with default parameters.

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
Object	get(int index) This method supports the Avro framework and is not intended to be called directly by the user.
static org.apache.avro.Schema	getClassSchema() This method supports the Avro framework and is not intended to be called directly by the user.
long	getCount()
List<Long>	getCounts()
List<List<Double>>	getMeans()
int	getNumIters()
double	getRmsDist()
List<Double>	getRmsDists()
org.apache.avro.Schema	getSchema() This method supports the Avro framework and is not intended to be called directly by the user.
double	getTolerance()
int	hashCode()
void	put(int index, Object value) This method supports the Avro framework and is not intended to be called directly by the user.
AggregateKMeansResponse	setCount(long count)
AggregateKMeansResponse	setCounts(List<Long> counts)
AggregateKMeansResponse	setMeans(List<List<Double>> means)
AggregateKMeansResponse	setNumIters(int numIters)
AggregateKMeansResponse	setRmsDist(double rmsDist)
AggregateKMeansResponse	setRmsDists(List<Double> rmsDists)
AggregateKMeansResponse	setTolerance(double tolerance)
String	toString()

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

AggregateKMeansResponse

public AggregateKMeansResponse()

Constructs an AggregateKMeansResponse object with default parameters.

Method Detail

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()

Returns:

The k-mean values found.

setMeans

public AggregateKMeansResponse setMeans(List<List<Double>> means)

Parameters:

means - The k-mean values found.

Returns:

this to mimic the builder pattern.

getCounts

public List<Long> getCounts()

Returns:

The number of elements in the cluster closest the corresponding k-means values.

setCounts

public AggregateKMeansResponse setCounts(List<Long> counts)

Parameters:

counts - The number of elements in the cluster closest the corresponding k-means values.

Returns:

this to mimic the builder pattern.

getRmsDists

public List<Double> getRmsDists()

Returns:

The root mean squared distance of the elements in the cluster for each of the k-means values.

setRmsDists

public AggregateKMeansResponse setRmsDists(List<Double> rmsDists)

Parameters:

rmsDists - The root mean squared distance of the elements in the cluster for each of the k-means values.

Returns:

this to mimic the builder pattern.

getCount

public long getCount()

Returns:

The total count of all the clusters - will be the size of the input table.

setCount

public AggregateKMeansResponse setCount(long count)

Parameters:

count - The total count of all the clusters - will be the size of the input table.

Returns:

this to mimic the builder pattern.

getRmsDist

public double getRmsDist()

Returns:

The sum of all the rms_dists - the value the k-means algorithm is attempting to minimize.

setRmsDist

public AggregateKMeansResponse setRmsDist(double rmsDist)

Parameters:

rmsDist - The sum of all the rms_dists - the value the k-means algorithm is attempting to minimize.

Returns:

this to mimic the builder pattern.

getTolerance

public double getTolerance()

Returns:

The distance between the last two iterations of the algorithm before it quit.

setTolerance

public AggregateKMeansResponse setTolerance(double tolerance)

Parameters:

tolerance - The distance between the last two iterations of the algorithm before it quit.

Returns:

this to mimic the builder pattern.

getNumIters

public int getNumIters()

Returns:

The number of iterations the algorithm executed before it quit.

setNumIters

public AggregateKMeansResponse setNumIters(int numIters)

Parameters:

numIters - The number of iterations the algorithm executed before it quit.

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:

IndexOutOfBoundsException

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:

IndexOutOfBoundsException

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