Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

## weka.classifiers.bayes.net
Class BIFReader

    java.lang.Object
      weka.classifiers.Classifier
          weka.classifiers.bayes.BayesNet
              weka.classifiers.bayes.net.BIFReader

All Implemented Interfaces:
  java.io.Serializable, java.lang.Cloneable, AdditionalMeasureProducer, CapabilitiesHandler, Drawable, OptionHandler, RevisionHandler, TechnicalInformationHandler, WeightedInstancesHandler

    public class BIFReader

extends BayesNet
implements TechnicalInformationHandler

Builds a description of a Bayes Net classifier stored in XML BIF 0.3 format.
For more details on XML BIF see:
Fabio Cozman, Marek Druzdzel, Daniel Garcia (1998). XML BIF version 0.3. URL http://www-2.cs.cmu.edu/~fgcozman/Research/InterchangeFormat/.

BibTeX:

     @misc{Cozman1998,
        author = {Fabio Cozman and Marek Druzdzel and Daniel Garcia},
        title = {XML BIF version 0.3},
        year = {1998},
        URL = {http://www-2.cs.cmu.edu/\~fgcozman/Research/InterchangeFormat/}
     }

Valid options are:

     -D
      Do not use ADTree data structure

     -B <BIF file>
      BIF file to compare with

     -Q weka.classifiers.bayes.net.search.SearchAlgorithm
      Search algorithm

     -E weka.classifiers.bayes.net.estimate.SimpleEstimator
      Estimator algorithm

Version:
  $Revision: 1.15 $
Author:
  Remco Bouckaert (rrb@xm.co.nz)
See Also:
  Serialized Form

Field Summary

Fields inherited from class weka.classifiers.bayes.BayesNet
`m_Distributions, m_Instances`

Fields inherited from interface weka.core.Drawable
`BayesNet, Newick, NOT_DRAWABLE, TREE`

Constructor Summary
`BIFReader()` the default constructor

Method Summary
`double` | `divergence(BayesNet other)` calculates the divergence between the probability distribution represented by this network and that of another, that is, \sum_{x\in X} P(x)log P(x)/Q(x) where X is the set of values the nodes in the network can take, P(x) the probability of this network for configuration x Q(x) the probability of the other network for configuration x
`int` | `extraArcs(BayesNet other)` Count nr of exta arcs from other network compared to current network Note that an arc is not 'extra' if it is reversed.
`java.lang.String` | `getContent(org.w3c.dom.Element node)` Returns all TEXT children of the given node in one string.
`java.lang.String` | `getFileName()` returns the current filename
`int` | `getNode(java.lang.String sNodeName)` getNode finds the index of the node with name sNodeName and throws an exception if no such node can be found.
`java.lang.String` | `getRevision()` Returns the revision string.
`TechnicalInformation` | `getTechnicalInformation()` Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
`java.lang.String` | `globalInfo()` This will return a string describing the classifier.
`static void` | `main(java.lang.String[] args)` Loads the file specified as first parameter and prints it to stdout.
`int` | `missingArcs(BayesNet other)` Count nr of arcs missing from other network compared to current network Note that an arc is not 'missing' if it is reversed.
`BIFReader` | `processFile(java.lang.String sFile)` processFile reads a BIFXML file and initializes a Bayes Net
`BIFReader` | `processString(java.lang.String sStr)`
`int` | `reversedArcs(BayesNet other)` Count nr of reversed arcs from other network compared to current network
`void` | `Sync(BayesNet other)` synchronizes the node ordering of this Bayes network with those in the other network (if possible).

Methods inherited from class weka.classifiers.bayes.BayesNet
`BIFFileTipText, buildClassifier, buildStructure, countsForInstance, distributionForInstance, enumerateMeasures, estimateCPTs, estimatorTipText, getADTree, getBIFFile, getBIFHeader, getCapabilities, getCardinality, getDistributions, getEstimator, getMeasure, getName, getNodeName, getNodeValue, getNrOfNodes, getNrOfParents, getOptions, getParent, getParentCardinality, getParentSet, getParentSets, getProbability, getSearchAlgorithm, getUseADTree, graph, graphType, initCPTs, initStructure, listOptions, measureAICScore, measureBayesScore, measureBDeuScore, measureDivergence, measureEntropyScore, measureExtraArcs, measureMDLScore, measureMissingArcs, measureReversedArcs, partitionOptions, searchAlgorithmTipText, setBIFFile, setEstimator, setOptions, setSearchAlgorithm, setUseADTree, toString, toXMLBIF03, updateClassifier, useADTreeTipText`

Methods inherited from class weka.classifiers.Classifier
`classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### BIFReader

    public BIFReader()

  the default constructor

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  This will return a string describing the classifier.

  Overrides:
    `globalInfo` in class `BayesNet`
  Returns:
    The string.

### processFile

    public BIFReader processFile(java.lang.String sFile)
                          throws java.lang.Exception

  processFile reads a BIFXML file and initializes a Bayes Net

  Parameters:
    `sFile` - name of the file to parse
  Returns:
    the BIFReader
  Throws:
    `java.lang.Exception` - if processing fails

### processString

    public BIFReader processString(java.lang.String sStr)
                            throws java.lang.Exception

  Throws:
    `java.lang.Exception`

### getFileName

    public java.lang.String getFileName()

  returns the current filename

  Returns:
    the current filename

### getTechnicalInformation

    public TechnicalInformation getTechnicalInformation()

  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

  Specified by:
    `getTechnicalInformation` in interface `TechnicalInformationHandler`
  Returns:
    the technical information about this class

### Sync

    public void Sync(BayesNet other)
              throws java.lang.Exception

  synchronizes the node ordering of this Bayes network with those in the other network (if possible).

  Parameters:
    `other` - Bayes network to synchronize with
  Throws:
    `java.lang.Exception` - if nr of attributes differs or not all of the variables have the same name.

### getContent

    public java.lang.String getContent(org.w3c.dom.Element node)

  Returns all TEXT children of the given node in one string. Between the node values new lines are inserted.

  Parameters:
    `node` - the node to return the content for
  Returns:
    the content of the node

### missingArcs

    public int missingArcs(BayesNet other)

  Count nr of arcs missing from other network compared to current network Note that an arc is not 'missing' if it is reversed.

  Parameters:
    `other` - network to compare with
  Returns:
    nr of missing arcs

### extraArcs

    public int extraArcs(BayesNet other)

  Count nr of exta arcs from other network compared to current network Note that an arc is not 'extra' if it is reversed.

  Parameters:
    `other` - network to compare with
  Returns:
    nr of missing arcs

### divergence

    public double divergence(BayesNet other)

  calculates the divergence between the probability distribution represented by this network and that of another, that is, \sum_{x\in X} P(x)log P(x)/Q(x) where X is the set of values the nodes in the network can take, P(x) the probability of this network for configuration x Q(x) the probability of the other network for configuration x

  Parameters:
    `other` - network to compare with
  Returns:
    divergence between this and other Bayes Network

### reversedArcs

    public int reversedArcs(BayesNet other)

  Count nr of reversed arcs from other network compared to current network

  Parameters:
    `other` - network to compare with
  Returns:
    nr of missing arcs

### getNode

    public int getNode(java.lang.String sNodeName)
                throws java.lang.Exception

  getNode finds the index of the node with name sNodeName and throws an exception if no such node can be found.

  Parameters:
    `sNodeName` - name of the node to get the index from
  Returns:
    index of the node with name sNodeName
  Throws:
    `java.lang.Exception` - if node cannot be found

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Overrides:
    `getRevision` in class `BayesNet`
  Returns:
    the revision

### main

    public static void main(java.lang.String[] args)

  Loads the file specified as first parameter and prints it to stdout.

  Parameters:
    `args` - the command line parameters

Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD