weka.classifiers.pmml.consumer
Class Regression

java.lang.Object
  extended by weka.classifiers.Classifier
      extended by weka.classifiers.pmml.consumer.PMMLClassifier
          extended by weka.classifiers.pmml.consumer.Regression
All Implemented Interfaces:
java.io.Serializable, java.lang.Cloneable, CapabilitiesHandler, OptionHandler, PMMLModel, RevisionHandler

public class Regression
extends PMMLClassifier
implements java.io.Serializable

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

Version:
$Revision: 6019 $
Author:
Mark Hall (mhall{[at]}pentaho{[dot]}com
See Also:
Serialized Form

Constructor Summary
Regression(org.w3c.dom.Element model, Instances dataDictionary, MiningSchema miningSchema)
          Constructs a new PMML Regression.
 
Method Summary
 double[] distributionForInstance(Instance inst)
          Classifies the given test instance.
 java.lang.String getRevision()
          Returns the revision string.
 java.lang.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.Classifier
classifyInstance, debugTipText, forName, getCapabilities, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

Regression

public Regression(org.w3c.dom.Element model,
                  Instances dataDictionary,
                  MiningSchema miningSchema)
           throws java.lang.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:
java.lang.Exception - if there is a problem constructing this Regression
Method Detail

toString

public java.lang.String toString()
Return a textual description of this Regression model.

Overrides:
toString in class java.lang.Object

distributionForInstance

public double[] distributionForInstance(Instance inst)
                                 throws java.lang.Exception
Classifies the given test instance. The instance has to belong to a dataset when it's being classified.

Overrides:
distributionForInstance in class Classifier
Parameters:
inst - the instance to be classified
Returns:
the predicted most likely class for the instance or Instance.missingValue() if no prediction is made
Throws:
java.lang.Exception - if an error occurred during the prediction

getRevision

public java.lang.String getRevision()
Description copied from class: Classifier
Returns the revision string.

Specified by:
getRevision in interface RevisionHandler
Overrides:
getRevision in class Classifier
Returns:
the revision