weka.classifiers.trees.j48

## Class PruneableClassifierTree

- java.lang.Object
- - weka.classifiers.trees.j48.ClassifierTree
  - - weka.classifiers.trees.j48.PruneableClassifierTree

- All Implemented Interfaces:
    java.io.Serializable, CapabilitiesHandler, Drawable, RevisionHandler

      public class PruneableClassifierTree
      extends ClassifierTree

  Class for handling a tree structure that can be pruned using a pruning set.
  Version:
    $Revision: 14534 $
  Author:
    Eibe Frank (eibe@cs.waikato.ac.nz)
  See Also:
    Serialized Form

- - ### Field Summary

    - ### Fields inherited from interface weka.core.Drawable

      `BayesNet, Newick, NOT_DRAWABLE, TREE`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `PruneableClassifierTree(ModelSelection toSelectLocModel, boolean pruneTree, int num, boolean cleanup, int seed)` Constructor for pruneable tree structure.

  - ### Method Summary

    All Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `void` | `buildClassifier(Instances data)` Method for building a pruneable classifier tree.
    `java.lang.String` | `getRevision()` Returns the revision string.
    `void` | `prune()` Prunes a tree.

    - ### Methods inherited from class weka.classifiers.trees.j48.ClassifierTree

      `assignIDs, buildTree, buildTree, classifyInstance, cleanup, distributionForInstance, getCapabilities, getLocalModel, getMembershipValues, getSons, getTrainingData, graph, graphType, isLeaf, numLeaves, numNodes, prefix, toSource, toString`

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

- - ### Constructor Detail

    - #### PruneableClassifierTree

          public PruneableClassifierTree(ModelSelection toSelectLocModel,
                                         boolean pruneTree,
                                         int num,
                                         boolean cleanup,
                                         int seed)
                                  throws java.lang.Exception

      Constructor for pruneable tree structure. Stores reference to associated training data at each node.
      Parameters:
        `toSelectLocModel` - selection method for local splitting model
        `pruneTree` - true if the tree is to be pruned
        `num` - number of subsets of equal size
        `cleanup` -
        `seed` - the seed value to use
      Throws:
        `java.lang.Exception` - if something goes wrong

  - ### Method Detail

    - #### buildClassifier

          public void buildClassifier(Instances data)
                               throws java.lang.Exception

      Method for building a pruneable classifier tree.
      Overrides:
        `buildClassifier` in class `ClassifierTree`
      Parameters:
        `data` - the data to build the tree from
      Throws:
        `java.lang.Exception` - if tree can't be built successfully

    - #### prune

          public void prune()
                     throws java.lang.Exception

      Prunes a tree.
      Throws:
        `java.lang.Exception` - if tree can't be pruned successfully

    - #### getRevision

          public java.lang.String getRevision()

      Returns the revision string.
      Specified by:
        `getRevision` in interface `RevisionHandler`
      Overrides:
        `getRevision` in class `ClassifierTree`
      Returns:
        the revision