org.knime.base.node.mine.regression.polynomial.learner
Class PolyRegLearnerSettings

java.lang.Object
  org.knime.base.node.mine.regression.polynomial.learner.PolyRegLearnerSettings

public class PolyRegLearnerSettings
extends Object

This class holds the settings for the polynomial regression learner node.

Author:

Thorsten Meinl, University of Konstanz

Constructor Summary

PolyRegLearnerSettings()

Method Summary

int	getDegree() Returns the maximum degree that polynomial used for regression should have.
int	getMaxRowsForView() Returns the maximum number of rows that are shown in the curve view.
Set<String>	getSelectedColumns() Returns an (unmodifieable) set of the select column names.
String	getTargetColumn() Returns the name of the target column that holds the dependent variable.
boolean	isIncludeAll()
void	loadSettingsFrom(NodeSettingsRO settings) Loads the settings from the node settings object.
void	saveSettingsTo(NodeSettingsWO settings) Saves the settings to the node settings object.
void	setDegree(int degree) Sets the maximum degree that polynomial used for regression should have.
void	setIncludeAll(boolean includeAll)
void	setMaxRowsForView(int maxRowsForView) Sets the maximum number of rows that are shown in the curve view.
void	setSelectedColumns(Set<String> columnNames) Sets the names of the columns that should be used for the regression.
void	setTargetColumn(String targetColumn) Sets the name of the target column that holds the dependent variable.

Methods inherited from class java.lang.Object

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

Constructor Detail

PolyRegLearnerSettings

public PolyRegLearnerSettings()

Method Detail

getDegree

public int getDegree()

Returns the maximum degree that polynomial used for regression should have.

Returns:

the maximum degree

getTargetColumn

public String getTargetColumn()

Returns the name of the target column that holds the dependent variable.

Returns:

the target column's name

loadSettingsFrom

public void loadSettingsFrom(NodeSettingsRO settings)
                      throws InvalidSettingsException

Loads the settings from the node settings object.

Parameters:

settings - the node settings

Throws:

InvalidSettingsException - if one of the settings is missing

saveSettingsTo

public void saveSettingsTo(NodeSettingsWO settings)

Saves the settings to the node settings object.

Parameters:

settings - the node settings

setDegree

public void setDegree(int degree)

Sets the maximum degree that polynomial used for regression should have.

Parameters:

degree - the maximum degree

setTargetColumn

public void setTargetColumn(String targetColumn)

Sets the name of the target column that holds the dependent variable.

Parameters:

targetColumn - the target column's name

getMaxRowsForView

public int getMaxRowsForView()

Returns the maximum number of rows that are shown in the curve view.

Returns:

the maximum number of rows

setMaxRowsForView

public void setMaxRowsForView(int maxRowsForView)

Sets the maximum number of rows that are shown in the curve view.

Parameters:

maxRowsForView - the maximum number of rows

setSelectedColumns

public void setSelectedColumns(Set<String> columnNames)

Sets the names of the columns that should be used for the regression. The target column name must not be among these columns!

Parameters:

columnNames - a set with the selected column names

getSelectedColumns

public Set<String> getSelectedColumns()

Returns an (unmodifieable) set of the select column names.

Returns:

a set with the selectec column names

isIncludeAll

public boolean isIncludeAll()

Returns:

the includeAll

setIncludeAll

public void setIncludeAll(boolean includeAll)

Parameters:

includeAll - the includeAll to set