Package weka.core.neighboursearch

Class FilteredSearch

  • All Implemented Interfaces:
    Serializable, weka.core.AdditionalMeasureProducer, weka.core.OptionHandler, weka.core.RevisionHandler
    public class FilteredSearch
extends TransformNNSearch
    Class implementing the brute force search algorithm for nearest neighbour search, filtered using PLS.

    Valid options are: 

     -S
  Skip identical instances (distances equal to zero).
    Version:
    $Revision$
    Author:
    Dale
    See Also:
    Serialized Form

    • Field Detail

      • m_Filter

        protected weka.filters.Filter m_Filter
        The filter

    • Constructor Detail

      • FilteredSearch

        public FilteredSearch()
        Constructor. Needs setInstances(Instances) to be called before the class is usable.

      • FilteredSearch

        public FilteredSearch​(weka.core.Instances insts)
        Constructor that uses the supplied set of instances.
        Parameters:
        insts - the instances to use

    • Method Detail

      • transformInstances

        protected weka.core.Instances transformInstances​(weka.core.Instances in)
                                          throws Exception
        Throws:
        Exception

      • kNearestNeighbours

        public weka.core.Instances kNearestNeighbours​(weka.core.Instance target,
                                              int kNN)
                                       throws Exception
        Returns k nearest instances in the current neighbourhood to the supplied instance.
        Overrides:
        kNearestNeighbours in class NewNNSearch
        Parameters:
        target - The instance to find the k nearest neighbours for.
        kNN - The number of nearest neighbours to find.
        Returns:
        the k nearest neighbors
        Throws:
        Exception - if the neighbours could not be found.

      • setInstances

        public void setInstances​(weka.core.Instances insts)
                  throws Exception
        Sets the instances comprising the current neighbourhood.
        Overrides:
        setInstances in class NewNNSearch
        Parameters:
        insts - The set of instances on which the nearest neighbour search is carried out. Usually this set is the training set.
        Throws:
        Exception - if setting of instances fails

      • update

        public void update​(weka.core.Instance ins)
            throws Exception
        Updates the LinearNNSearch to cater for the new added instance. This implementation only updates the ranges of the DistanceFunction class, since our set of instances is passed by reference and should already have the newly added instance.
        Overrides:
        update in class NewNNSearch
        Parameters:
        ins - The instance to add. Usually this is the instance that is added to our neighbourhood i.e. the training instances.
        Throws:
        Exception - if the given instances are null

      • addInstanceInfo

        public void addInstanceInfo​(weka.core.Instance ins)
        Adds the given instance info. This implementation updates the range datastructures of the DistanceFunction class.
        Overrides:
        addInstanceInfo in class NewNNSearch
        Parameters:
        ins - The instance to add the information of. Usually this is the test instance supplied to update the range of attributes in the distance function.

      • listOptions

        public Enumeration listOptions()
        Description copied from class: NewNNSearch
        Returns an enumeration describing the available options.
        Specified by:
        listOptions in interface weka.core.OptionHandler
        Overrides:
        listOptions in class NewNNSearch
        Returns:
        an enumeration of all the available options.

      • filterTipText

        public String filterTipText()
        Returns the tip text for this property
        Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

      • setFilter

        public void setFilter​(weka.filters.Filter filter)
        Sets the filter
        Parameters:
        filter - the filter with all options set.

      • getFilter

        public weka.filters.Filter getFilter()
        Gets the filter used.
        Returns:
        the filter

      • getFilterSpec

        protected String getFilterSpec()
        Gets the filter specification string, which contains the class name of the filter and any options to the filter
        Returns:
        the filter string.

      • setOptions

        public void setOptions​(String[] options)
                throws Exception
        Description copied from class: NewNNSearch
        Parses a given list of options.

        Valid options are: 

         -S
  Skip identical instances (distances equal to zero).
        Specified by:
        setOptions in interface weka.core.OptionHandler
        Overrides:
        setOptions in class NewNNSearch
        Parameters:
        options - the list of options as an array of strings
        Throws:
        Exception - if an option is not supported

      • getOptions

        public String[] getOptions()
        Description copied from class: NewNNSearch
        Gets the current settings.
        Specified by:
        getOptions in interface weka.core.OptionHandler
        Overrides:
        getOptions in class NewNNSearch
        Returns:
        an array of strings suitable for passing to setOptions()