org.knime.base.node.meta.xvalidation
Class XValidateSettings

java.lang.Object
  org.knime.base.node.meta.xvalidation.XValidateSettings

public class XValidateSettings
extends Object

Simple class for managing the cross validation settings.

Author:

Thorsten Meinl, University of Konstanz

Constructor Summary

XValidateSettings()

Method Summary

String	classColumn() Returns the class column's name for stratified sampling.
void	classColumn(String classColumn) Sets the class column's name for stratified sampling.
boolean	leaveOneOut() Returns if leave-one-out cross validation should be performed.
void	leaveOneOut(boolean b) Sets if leave-one-out cross validation should be performed.
void	loadSettingsFrom(NodeSettingsRO settings) Loads the settings from the node settings object.
boolean	randomSampling() Returns if the rows of the input table should be sampled randomly.
void	randomSampling(boolean randomSampling) Sets if the rows of the input table should be sampled randomly.
void	saveSettingsTo(NodeSettingsWO settings) Writes the settings into the node settings object.
boolean	stratifiedSampling() Returns if the rows of the input table should be sampled stratified.
void	stratifiedSampling(boolean stratifiedSampling) Sets if the rows of the input table should be sampled stratified.
short	validations() Returns the number of validation runs that should be performed.
void	validations(short validations) Sets the number of validation runs that should be performed.

Methods inherited from class java.lang.Object

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

Constructor Detail

XValidateSettings

public XValidateSettings()

Method Detail

leaveOneOut

public boolean leaveOneOut()

Returns if leave-one-out cross validation should be performed.

Returns:

true if leave-one-out should be done, false otherwise

leaveOneOut

public void leaveOneOut(boolean b)

Sets if leave-one-out cross validation should be performed.

Parameters:

b - true if leave-one-out should be done, false otherwise

saveSettingsTo

public void saveSettingsTo(NodeSettingsWO settings)

Writes the settings into the node settings object.

Parameters:

settings - a node settings object

loadSettingsFrom

public void loadSettingsFrom(NodeSettingsRO settings)
                      throws InvalidSettingsException

Loads the settings from the node settings object.

Parameters:

settings - a node settings object

Throws:

InvalidSettingsException - if some settings are missing

randomSampling

public boolean randomSampling()

Returns if the rows of the input table should be sampled randomly.

Returns:

true if the should be sampled randomly, false otherwise

randomSampling

public void randomSampling(boolean randomSampling)

Sets if the rows of the input table should be sampled randomly.

Parameters:

randomSampling - true if the should be sampled randomly, false otherwise

stratifiedSampling

public boolean stratifiedSampling()

Returns if the rows of the input table should be sampled stratified.

Returns:

true if the should be sampled stratified, false otherwise

stratifiedSampling

public void stratifiedSampling(boolean stratifiedSampling)

Sets if the rows of the input table should be sampled stratified.

Parameters:

stratifiedSampling - true if the should be sampled stratified, false otherwise

classColumn

public String classColumn()

Returns the class column's name for stratified sampling.

Returns:

the class column's name

classColumn

public void classColumn(String classColumn)

Sets the class column's name for stratified sampling.

Parameters:

classColumn - the class column's name

validations

public short validations()

Returns the number of validation runs that should be performed.

Returns:

the number of validation runs

validations

public void validations(short validations)

Sets the number of validation runs that should be performed.

Parameters:

validations - the number of validation runs