Class ASEvaluation

    • Constructor Summary

      Constructors 
      Constructor Description
      ASEvaluation()  
    • Method Summary

      All Methods Static Methods Instance Methods Abstract Methods Concrete Methods 
      Modifier and Type Method Description
      abstract void buildEvaluator​(Instances data)
      Generates a attribute evaluator.
      void clean()
      Tells the evaluator that the attribute selection process is complete.
      static ASEvaluation forName​(java.lang.String evaluatorName, java.lang.String[] options)
      Creates a new instance of an attribute/subset evaluator given it's class name and (optional) arguments to pass to it's setOptions method.
      Capabilities getCapabilities()
      Returns the capabilities of this evaluator.
      java.lang.String getRevision()
      Returns the revision string.
      static ASEvaluation[] makeCopies​(ASEvaluation model, int num)
      Creates copies of the current evaluator.
      int[] postProcess​(int[] attributeSet)
      Provides a chance for a attribute evaluator to do any special post processing of the selected attribute set.
      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

      • ASEvaluation

        public ASEvaluation()
    • Method Detail

      • buildEvaluator

        public abstract void buildEvaluator​(Instances data)
                                     throws java.lang.Exception
        Generates a attribute evaluator. Has to initialize all fields of the evaluator that are not being set via options.
        Parameters:
        data - set of instances serving as training data
        Throws:
        java.lang.Exception - if the evaluator has not been generated successfully
      • postProcess

        public int[] postProcess​(int[] attributeSet)
                          throws java.lang.Exception
        Provides a chance for a attribute evaluator to do any special post processing of the selected attribute set.
        Parameters:
        attributeSet - the set of attributes found by the search
        Returns:
        a possibly ranked list of postprocessed attributes
        Throws:
        java.lang.Exception - if postprocessing fails for some reason
      • forName

        public static ASEvaluation forName​(java.lang.String evaluatorName,
                                           java.lang.String[] options)
                                    throws java.lang.Exception
        Creates a new instance of an attribute/subset evaluator given it's class name and (optional) arguments to pass to it's setOptions method. If the evaluator implements OptionHandler and the options parameter is non-null, the evaluator will have it's options set.
        Parameters:
        evaluatorName - the fully qualified class name of the evaluator
        options - an array of options suitable for passing to setOptions. May be null.
        Returns:
        the newly created evaluator, ready for use.
        Throws:
        java.lang.Exception - if the evaluator name is invalid, or the options supplied are not acceptable to the evaluator
      • makeCopies

        public static ASEvaluation[] makeCopies​(ASEvaluation model,
                                                int num)
                                         throws java.lang.Exception
        Creates copies of the current evaluator. Note that this method now uses Serialization to perform a deep copy, so the evaluator object must be fully Serializable. Any currently built model will now be copied as well.
        Parameters:
        model - an example evaluator to copy
        num - the number of evaluator copies to create.
        Returns:
        an array of evaluators.
        Throws:
        java.lang.Exception - if an error occurs
      • getRevision

        public java.lang.String getRevision()
        Returns the revision string.
        Specified by:
        getRevision in interface RevisionHandler
        Returns:
        the revision
      • clean

        public void clean()
        Tells the evaluator that the attribute selection process is complete. It can then clean up data structures, references to training data as necessary in order to save memory