Package weka.classifiers.functions

Class SimpleLinearRegressionIntervalEstimator

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.functions.SimpleLinearRegressionWithAccess

weka.classifiers.functions.SimpleLinearRegressionIntervalEstimator

All Implemented Interfaces:

Serializable, Cloneable, weka.classifiers.Classifier, weka.classifiers.IntervalEstimator, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.OptionHandler, weka.core.RevisionHandler, weka.core.WeightedInstancesHandler

public class SimpleLinearRegressionIntervalEstimator
extends SimpleLinearRegressionWithAccess
implements weka.classifiers.IntervalEstimator

Learns a simple linear regression model. Picks the attribute that results in the lowest squared error. Can only deal with numeric attributes.
Makes standard errors available.

Provides confidence intervals as well. For more information see:
http://stattrek.com/regression/slope-confidence-interval.aspx

Valid options are:

 -additional-stats
  Output additional statistics.

 -output-debug-info
  If set, classifier is run in debug mode and
  may output additional info to the console

 -do-not-check-capabilities
  If set, classifier capabilities are not checked before classifier is built
  (use with caution).

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.functions.SimpleLinearRegressionWithAccess

m_attribute, m_attributeIndex, m_classMeanForMissing, m_df, m_fstat, m_intercept, m_outputAdditionalStats, m_rsquared, m_rsquaredAdj, m_seIntercept, m_seSlope, m_slope, m_suppressErrorMessage, m_tstatIntercept, m_tstatSlope

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, m_BatchSize, m_Debug, m_DoNotCheckCapabilities, m_numDecimalPlaces, NUM_DECIMAL_PLACES_DEFAULT

Constructor Summary

Constructors

Constructor	Description
SimpleLinearRegressionIntervalEstimator()

Method Summary

Modifier and Type	Method	Description
String	getRevision()	Returns the revision string.
String	globalInfo()	Returns a string describing this classifier
static void	main(String[] argv)	Generates a linear regression function predictor.
double[][]	predictIntervals(weka.core.Instance inst, double confidenceLevel)	Returns an N * 2 array, where N is the number of prediction intervals.

Methods inherited from class weka.classifiers.functions.SimpleLinearRegressionWithAccess

buildClassifier, classifyInstance, foundUsefulAttribute, getAttributeIndex, getCapabilities, getIntercept, getInterceptSE, getOptions, getOutputAdditionalStats, getSlope, getSlopeSE, listOptions, outputAdditionalStatsTipText, setOptions, setOutputAdditionalStats, setSuppressErrorMessage, toString

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, postExecution, preExecution, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

Methods inherited from class java.lang.Object

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

Constructor Detail

SimpleLinearRegressionIntervalEstimator

public SimpleLinearRegressionIntervalEstimator()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing this classifier

Overrides:

globalInfo in class SimpleLinearRegressionWithAccess

Returns:

a description of the classifier suitable for displaying in the explorer/experimenter gui

predictIntervals

public double[][] predictIntervals(weka.core.Instance inst,
                                   double confidenceLevel)
                            throws Exception

Returns an N * 2 array, where N is the number of prediction intervals. In each row, the first element contains the lower boundary of the corresponding prediction interval and the second element the upper boundary.

Specified by:

predictIntervals in interface weka.classifiers.IntervalEstimator

Parameters:

inst - the instance to make the prediction for.

confidenceLevel - the percentage of cases that the interval should cover.

Returns:

an array of prediction intervals

Throws:

Exception - if the intervals can't be computed

getRevision

public String getRevision()

Returns the revision string.

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class SimpleLinearRegressionWithAccess

Returns:

the revision

main

public static void main(String[] argv)

Generates a linear regression function predictor.

Parameters:

argv - the options