Class TrainTest.KMeansOptions

java.lang.Object

org.tribuo.clustering.kmeans.TrainTest.KMeansOptions

All Implemented Interfaces:

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

Enclosing class:

TrainTest

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

Options for the K-Means CLI.

Field Summary

Fields

Modifier and Type	Field	Description
int	centroids
KMeansTrainer.Distance	distance
DataOptions	general
int	iterations
int	numThreads

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

header

Constructor Summary

Constructors

Constructor	Description
KMeansOptions()

Method Summary

Modifier and Type	Method	Description
String	getOptionsDescription()

Methods inherited from class java.lang.Object

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

Field Details

general

public DataOptions general

centroids

@Option(charName='n',
        longName="num-clusters",
        usage="Number of clusters to infer. Defaults to 5.")
public int centroids

iterations

@Option(charName='i',
        longName="iterations",
        usage="Maximum number of iterations. Defaults to 10.")
public int iterations

distance

@Option(charName='d',
        longName="distance",
        usage="Distance function to use in the e step. Defaults to EUCLIDEAN.")
public KMeansTrainer.Distance distance

numThreads

@Option(charName='t',
        longName="num-threads",
        usage="Number of threads to use (default 4, range (1, num hw threads)).")
public int numThreads

Constructor Details

KMeansOptions

public KMeansOptions()

Method Details

getOptionsDescription

public String getOptionsDescription()

Specified by:

getOptionsDescription in interface com.oracle.labs.mlrg.olcut.config.Options