Package weka.classifiers.trees.m5

Class PreConstructedLinearModel

  • All Implemented Interfaces:
    java.io.Serializable, java.lang.Cloneable, CapabilitiesHandler, OptionHandler, RevisionHandler
    public class PreConstructedLinearModel
extends Classifier
implements java.io.Serializable
    This class encapsulates a linear regression function. It is a classifier but does not learn the function itself, instead it is constructed with coefficients and intercept obtained elsewhere. The buildClassifier method must still be called however as this stores a copy of the training data's header for use in printing the model to the console.
    Version:
    $Revision: 1.6 $
    Author:
    Mark Hall (mhall@cs.waikato.ac.nz)
    See Also:
    Serialized Form

    • Constructor Detail

      • PreConstructedLinearModel

        public PreConstructedLinearModel​(double[] coeffs,
                                 double intercept)
        Constructor
        Parameters:
        coeffs - an array of coefficients
        intercept - the intercept

    • Method Detail

      • buildClassifier

        public void buildClassifier​(Instances instances)
                     throws java.lang.Exception
        Builds the classifier. In this case all that is done is that a copy of the training instances header is saved.
        Specified by:
        buildClassifier in class Classifier
        Parameters:
        instances - an Instances value
        Throws:
        java.lang.Exception - if an error occurs

      • classifyInstance

        public double classifyInstance​(Instance inst)
                        throws java.lang.Exception
        Predicts the class of the supplied instance using the linear model.
        Overrides:
        classifyInstance in class Classifier
        Parameters:
        inst - the instance to make a prediction for
        Returns:
        the prediction
        Throws:
        java.lang.Exception - if an error occurs

      • numParameters

        public int numParameters()
        Return the number of parameters (coefficients) in the linear model
        Returns:
        the number of parameters

      • coefficients

        public double[] coefficients()
        Return the array of coefficients
        Returns:
        the coefficients

      • intercept

        public double intercept()
        Return the intercept
        Returns:
        the intercept

      • toString

        public java.lang.String toString()
        Returns a textual description of this linear model
        Overrides:
        toString in class java.lang.Object
        Returns:
        String containing a description of this linear model