org.knime.base.node.mine.regression

Class RegressionTrainingData

java.lang.Object

org.knime.base.node.mine.regression.RegressionTrainingData

All Implemented Interfaces:

Iterable<RegressionTrainingRow>

public class RegressionTrainingData
extends Object
implements Iterable<RegressionTrainingRow>

This class is a decorator for a DataTable.

Since:

3.1

Author:

Heiko Hofer, Gabor Bakos

Constructor Summary

Constructors

Constructor and Description
RegressionTrainingData(BufferedDataTable data, PMMLPortObjectSpec spec)
RegressionTrainingData(BufferedDataTable data, PMMLPortObjectSpec spec, boolean failOnMissing)
RegressionTrainingData(BufferedDataTable data, PMMLPortObjectSpec spec, boolean failOnMissing, DataCell targetReferenceCategory, boolean sortTargetCategories, boolean sortFactorsCategories)
RegressionTrainingData(BufferedDataTable data, PMMLPortObjectSpec spec, List<? extends DataColumnSpec> specialColumns, boolean failOnMissing, DataCell targetReferenceCategory, boolean sortTargetCategories, boolean sortFactorsCategories)

Method Summary

Modifier and Type	Method and Description
List<Integer>	getActiveCols()
Map<Integer,List<DataCell>>	getDomainValues()
Map<Integer,Boolean>	getIsNominal()
int	getRegressorCount()
long	getRowCount()
Map<Integer,Integer>	getVectorLengths()
Iterator<RegressionTrainingRow>	iterator()

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Constructor Detail

RegressionTrainingData

public RegressionTrainingData(BufferedDataTable data,
                              PMMLPortObjectSpec spec)
                       throws InvalidSettingsException

Parameters:

data - training data.

spec - port object spec.

Throws:

InvalidSettingsException - When settings are inconsistent with the data

Since:

2.10

RegressionTrainingData

public RegressionTrainingData(BufferedDataTable data,
                              PMMLPortObjectSpec spec,
                              boolean failOnMissing)
                       throws InvalidSettingsException

Parameters:

data - training data.

spec - port object spec.

failOnMissing - when true an exception is thrown when a missing cell is observed

Throws:

InvalidSettingsException - When settings are inconsistent with the data

Since:

2.10

RegressionTrainingData

public RegressionTrainingData(BufferedDataTable data,
                              PMMLPortObjectSpec spec,
                              boolean failOnMissing,
                              DataCell targetReferenceCategory,
                              boolean sortTargetCategories,
                              boolean sortFactorsCategories)
                       throws InvalidSettingsException

Parameters:

data - training data.

spec - port object spec.

failOnMissing - when true an exception is thrown when a missing cell is observed

targetReferenceCategory - the target reference category, if not set it is the last category

sortTargetCategories - true when target categories should be sorted

sortFactorsCategories - true when categories of nominal data in the include list should be sorted

Throws:

InvalidSettingsException - When settings are inconsistent with the data

Since:

2.10

RegressionTrainingData

public RegressionTrainingData(BufferedDataTable data,
                              PMMLPortObjectSpec spec,
                              List<? extends DataColumnSpec> specialColumns,
                              boolean failOnMissing,
                              DataCell targetReferenceCategory,
                              boolean sortTargetCategories,
                              boolean sortFactorsCategories)
                       throws InvalidSettingsException

Parameters:

data - training data.

spec - port object spec.

specialColumns - The special columns that cannot be represented by normal PMMLPortObjectSpec.

failOnMissing - when true an exception is thrown when a missing cell is observed

targetReferenceCategory - the target reference category, if not set it is the last category

sortTargetCategories - true when target categories should be sorted

sortFactorsCategories - true when categories of nominal data in the include list should be sorted

Throws:

InvalidSettingsException - When settings are inconsistent with the data

Since:

3.1

Method Detail

iterator

public Iterator<RegressionTrainingRow> iterator()

Specified by:

iterator in interface Iterable<RegressionTrainingRow>

getRegressorCount

public int getRegressorCount()

Returns:

the regressorCount

getRowCount

public long getRowCount()

Returns:

Number of rows in the training data.

getActiveCols

public List<Integer> getActiveCols()

Returns:

the indices

getIsNominal

public Map<Integer,Boolean> getIsNominal()

Returns:

the isDesignVariable

getDomainValues

public Map<Integer,List<DataCell>> getDomainValues()

Returns:

the values

getVectorLengths

public Map<Integer,Integer> getVectorLengths()

Returns:

the vectorLengths

Since:

3.1