weka.classifiers.pmml.consumer
Class Regression

java.lang.Object
  weka.classifiers.AbstractClassifier
      weka.classifiers.pmml.consumer.PMMLClassifier
          weka.classifiers.pmml.consumer.Regression

All Implemented Interfaces:

Serializable, Cloneable, Classifier, CapabilitiesHandler, OptionHandler, PMMLModel, RevisionHandler

public class Regression
extends PMMLClassifier
implements Serializable

Class implementing import of PMML Regression model. Can be used as a Weka classifier for prediction (buildClassifier() raises an Exception).

Version:

$Revision: 8034 $

Author:

Mark Hall (mhall{[at]}pentaho{[dot]}com

See Also:

Serialized Form

Constructor Summary

Regression(Element model, Instances dataDictionary, MiningSchema miningSchema)
Constructs a new PMML Regression.

Method Summary

double[]	distributionForInstance(Instance inst) Classifies the given test instance.
String	getRevision() Returns the revision string.
String	toString() Return a textual description of this Regression model.

Methods inherited from class weka.classifiers.pmml.consumer.PMMLClassifier

buildClassifier, done, getCreatorApplication, getDataDictionary, getFieldsMappingString, getLog, getMiningSchema, getPMMLVersion, mapToMiningSchema, setCreatorApplication, setLog, setPMMLVersion

Methods inherited from class weka.classifiers.AbstractClassifier

classifyInstance, debugTipText, forName, getCapabilities, getDebug, getOptions, listOptions, makeCopies, makeCopy, runClassifier, setDebug, setOptions

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

Regression

public Regression(Element model,
                  Instances dataDictionary,
                  MiningSchema miningSchema)
           throws Exception

Constructs a new PMML Regression.

Parameters:

model - the Element containing the regression model

dataDictionary - the data dictionary as an Instances object

miningSchema - the mining schema

Throws:

Exception - if there is a problem constructing this Regression

Method Detail

toString

public String toString()

Return a textual description of this Regression model.

Overrides:

toString in class Object

distributionForInstance

public double[] distributionForInstance(Instance inst)
                                 throws Exception

Classifies the given test instance. The instance has to belong to a dataset when it's being classified.

Specified by:

distributionForInstance in interface Classifier

Overrides:

distributionForInstance in class AbstractClassifier

Parameters:

inst - the instance to be classified

Returns:

the predicted most likely class for the instance or Utils.missingValue() if no prediction is made

Throws:

Exception - if an error occurred during the prediction

getRevision

public String getRevision()

Description copied from class: AbstractClassifier

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class AbstractClassifier

Returns:

the revision