Class GeneralRegression

All Implemented Interfaces:
Serializable, Cloneable, CapabilitiesHandler, OptionHandler, PMMLModel, RevisionHandler

public class GeneralRegression extends PMMLClassifier implements Serializable
Class implementing import of PMML General Regression model. Can be used as a Weka classifier for prediction (buildClassifier() raises an Exception).
Version:
$Revision: 5562 $
Author:
Mark Hall (mhall{[at]}pentaho{[dot]}com)
See Also:
  • Constructor Details

    • GeneralRegression

      public GeneralRegression(Element model, Instances dataDictionary, MiningSchema miningSchema) throws Exception
      Constructs a GeneralRegression classifier.
      Parameters:
      model - the Element that holds the model definition
      dataDictionary - the data dictionary as a set of Instances
      miningSchema - the mining schema
      Throws:
      Exception - if there is a problem constructing the general regression object from the PMML.
  • Method Details

    • toString

      public String toString()
      Return a textual description of this general regression.
      Overrides:
      toString in class Object
      Returns:
      a description of this general regression
    • 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.
      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:
      Exception - if an error occurred during the prediction
    • getRevision

      public 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