org.knime.base.node.mine.regression.linear2.learner

Class Learner

java.lang.Object

org.knime.base.node.mine.regression.RegressionStatisticsLearner

org.knime.base.node.mine.regression.linear2.learner.Learner

final class Learner
extends RegressionStatisticsLearner

A Linear Regression Learner.

Author:

Heiko Hofer

Field Summary

Fields inherited from class org.knime.base.node.mine.regression.RegressionStatisticsLearner

m_failOnMissing, m_includeConstant, m_offsetValue, m_outSpec

Constructor Summary

Constructors

Constructor and Description
Learner(PMMLPortObjectSpec spec)
Learner(PMMLPortObjectSpec spec, boolean includeConstant, double offsetValue, boolean failOnMissing)

Method Summary

Modifier and Type	Method and Description
LinearRegressionContent	perform(BufferedDataTable data, ExecutionContext exec)
protected void	processTable(ExecutionMonitor exec, RegressionTrainingData trainingData, org.apache.commons.math3.stat.descriptive.SummaryStatistics[] stats, org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression regr) Reads the table and performs the necessary updates on the statistics (stats and regr).

Methods inherited from class org.knime.base.node.mine.regression.RegressionStatisticsLearner

createCovarianceMatrix, createCovariateListAndFillFactors, initStatistics

Methods inherited from class java.lang.Object

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

Constructor Detail

Learner

Learner(PMMLPortObjectSpec spec)

Parameters:

spec - The PMMLPortObjectSpec of the output table.

Learner

Learner(PMMLPortObjectSpec spec,
        boolean includeConstant,
        double offsetValue,
        boolean failOnMissing)

Parameters:

spec - The PMMLPortObjectSpec of the output table.

includeConstant - include a constant automatically

offsetValue - offset value (a user defined intercept)

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

Method Detail

perform

public LinearRegressionContent perform(BufferedDataTable data,
                                       ExecutionContext exec)
                                throws CanceledExecutionException,
                                       InvalidSettingsException

Specified by:

perform in class RegressionStatisticsLearner

Parameters:

data - The data table.

exec - The execution context used for reporting progress.

Returns:

An object which holds the results.

Throws:

CanceledExecutionException - When method is cancelled

InvalidSettingsException - When settings are inconsistent with the data

processTable

protected void processTable(ExecutionMonitor exec,
                            RegressionTrainingData trainingData,
                            org.apache.commons.math3.stat.descriptive.SummaryStatistics[] stats,
                            org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression regr)
                     throws CanceledExecutionException

Reads the table and performs the necessary updates on the statistics (stats and regr).

Specified by:

processTable in class RegressionStatisticsLearner

Parameters:

exec - An ExecutionMonitor.

trainingData - The training data.

stats - Array of statistics for each (column, exponent) pair.

regr - An UpdatingMultipleLinearRegression object.

Throws:

CanceledExecutionException - Processing was cancelled.