Package org.tribuo.regression.slm

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	Choose the training algorithm (stepwise forward selection or least angle regression).
double	alpha	Regularisation strength in the Elastic Net.
DataOptions	general	The data loading options.
int	iterations	Iterations of Elastic Net.
double	l1Ratio	Ratio between the l1 and l2 penalties in the Elastic Net.
int	maxNumFeatures	Set the maximum number of features.

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

The data loading options.

maxNumFeatures

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

Set the maximum number of features.

algorithm

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

Choose the training algorithm (stepwise forward selection or least angle regression).

alpha

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

Regularisation strength in the Elastic Net.

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

Ratio between the l1 and l2 penalties in the Elastic Net. Must be between 0 and 1.

iterations

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

Iterations of Elastic Net.

Constructor Details

SLMOptions

public SLMOptions()

Method Details

getOptionsDescription

public String getOptionsDescription()

Specified by:

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