Package weka.classifiers.pmml.consumer

Class 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 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