org.tribuo.clustering.kmeans

Class KMeansOptions

java.lang.Object

org.tribuo.clustering.kmeans.KMeansOptions

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.config.Options

public class KMeansOptions
extends Object
implements com.oracle.labs.mlrg.olcut.config.Options

OLCUT Options for the K-Means implementation.

Field Summary

Fields

Modifier and Type	Field and Description
int	centroids
KMeansTrainer.Distance	distance
KMeansTrainer.Initialisation	initialisation
int	iterations
int	numThreads

Fields inherited from interface com.oracle.labs.mlrg.olcut.config.Options

header

Constructor Summary

Constructors

Constructor and Description
KMeansOptions()

Method Summary

Modifier and Type	Method and Description
KMeansTrainer	getTrainer()

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Options

formatUsage, generateTypeDescription, getAllOptions, getEnumConstantString, getOptionFields, getOptions, getOptionsDescription, getOptionUsage, getOptionUsage, getOptionUsage, getUsage

Field Detail

iterations

@Option(longName="kmeans-interations",
        usage="Iterations of the k-means algorithm. Defaults to 10.")
public int iterations

centroids

@Option(longName="kmeans-num-centroids",
        usage="Number of centroids in K-Means. Defaults to 10.")
public int centroids

distance

@Option(longName="kmeans-distance",
        usage="Distance function in K-Means. Defaults to EUCLIDEAN.")
public KMeansTrainer.Distance distance

initialisation

@Option(longName="kmeans-initialisation",
        usage="Initialisation function in K-Means. Defaults to RANDOM.")
public KMeansTrainer.Initialisation initialisation

numThreads

@Option(longName="kmeans-num-threads",
        usage="Number of computation threads in K-Means. Defaults to 4.")
public int numThreads

Constructor Detail

KMeansOptions

public KMeansOptions()

Method Detail

getTrainer

public KMeansTrainer getTrainer()