com.cloudera.oryx.app.serving.kmeans.model

Class KMeansServingModel

java.lang.Object

com.cloudera.oryx.app.serving.kmeans.model.KMeansServingModel

All Implemented Interfaces:

ServingModel, ClusteringServingModel

public final class KMeansServingModel
extends Object
implements ClusteringServingModel

Contains all data structures needed to serve queries for a k-means clustering application.

Method Summary

Modifier and Type	Method and Description
Pair<ClusterInfo,Double>	closestCluster(double[] vector)
ClusterInfo	getCluster(int id)
float	getFractionLoaded()
InputSchema	getInputSchema()
int	getNumClusters()
int	nearestClusterID(String[] datum)
String	toString()
void	update(int clusterID, double[] center, long count)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Method Detail

nearestClusterID

public int nearestClusterID(String[] datum)

Specified by:

nearestClusterID in interface ClusteringServingModel

Parameters:

datum - input features as parsed strings

Returns:

nearest cluster ID

getNumClusters

public int getNumClusters()

getCluster

public ClusterInfo getCluster(int id)

getInputSchema

public InputSchema getInputSchema()

closestCluster

public Pair<ClusterInfo,Double> closestCluster(double[] vector)

update

public void update(int clusterID,
                   double[] center,
                   long count)

getFractionLoaded

public float getFractionLoaded()

Specified by:

getFractionLoaded in interface ServingModel

Returns:

fraction of IDs that were expected to be in the model whose value has been loaded from an update

toString

public String toString()

Overrides:

toString in class Object