Constructor Detail

• BallSplitter

  public BallSplitter()

  default constructor.

• BallSplitter

  public BallSplitter​(int[] instList,
                      Instances insts,
                      EuclideanDistance e)

  Creates a new instance of BallSplitter.

  Parameters:

  instList - The master index array.

  insts - The instances on which the tree is (or is to be) built.

  e - The Euclidean distance function to use for splitting.

Method Detail

• listOptions

  public java.util.Enumeration listOptions()

  Returns an enumeration describing the available options.

  Specified by:

  listOptions in interface OptionHandler

  Returns:

  an enumeration of all the available options.

• setOptions

  public void setOptions​(java.lang.String[] options)
                  throws java.lang.Exception

  Parses a given list of options.

  Specified by:

  setOptions in interface OptionHandler

  Parameters:

  options - the list of options as an array of strings

  Throws:

  java.lang.Exception - if an option is not supported

• getOptions

  public java.lang.String[] getOptions()

  Gets the current settings of the object.

  Specified by:

  getOptions in interface OptionHandler

  Returns:

  an array of strings suitable for passing to setOptions

• splitNode

  public abstract void splitNode​(BallNode node,
                                 int numNodesCreated)
                          throws java.lang.Exception

  Splits a node into two.

  Parameters:

  node - The node to split.

  numNodesCreated - The number of nodes that so far have been created for the tree, so that the newly created nodes are assigned correct/meaningful node numbers/ids.

  Throws:

  java.lang.Exception - If there is some problem in splitting the given node.

• setInstances

  public void setInstances​(Instances inst)

  Sets the training instances on which the tree is (or is to be) built.

  Parameters:

  inst - The training instances.

• setInstanceList

  public void setInstanceList​(int[] instList)

  Sets the master index array containing indices of the training instances. This array will be rearranged as the tree is built (or a node is split_), so that each node is assigned a portion in this array which contain the instances insides the node's region.

  Parameters:

  instList - The master index array.

• setEuclideanDistanceFunction

  public void setEuclideanDistanceFunction​(EuclideanDistance func)

  Sets the distance function used to (or to be used to) build the tree.

  Parameters:

  func - The distance function.

• getRevision

  public java.lang.String getRevision()

  Returns the revision string.

  Specified by:

  getRevision in interface RevisionHandler

  Returns:

  the revision