Class TrainTest.SLMOptions

java.lang.Object

org.tribuo.regression.slm.TrainTest.SLMOptions

All Implemented Interfaces:

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

Enclosing class:

TrainTest

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

Command line options.

Field Summary

Fields

Modifier and Type	Field	Description
TrainTest.SLMType	algorithm
double	alpha
DataOptions	general
int	iterations
double	l1Ratio
int	maxNumFeatures

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

header

Constructor Summary

Constructors

Constructor	Description
SLMOptions()

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

maxNumFeatures

@Option(charName='m',
        longName="max-features-num",
        usage="Set the maximum number of features.")
public int maxNumFeatures

algorithm

@Option(charName='a',
        longName="algorithm",
        usage="Choose the training algorithm (stepwise forward selection or least angle regression).")
public TrainTest.SLMType algorithm

alpha

@Option(charName='b',
        longName="alpha",
        usage="Regularisation strength in the Elastic Net.")
public double alpha

l1Ratio

@Option(charName='l',
        longName="l1Ratio",
        usage="Ratio between the l1 and l2 penalties in the Elastic Net. Must be between 0 and 1.")
public double l1Ratio

iterations

@Option(longName="iterations",
        usage="Iterations of Elastic Net.")
public int iterations

Constructor Details

SLMOptions

public SLMOptions()

Method Details

getOptionsDescription

public String getOptionsDescription()

Specified by:

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