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## weka.classifiers.bayes
Class BayesNet

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

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

Direct Known Subclasses:
  BayesNetGenerator, BIFReader

    public class BayesNet

extends Classifier
implements OptionHandler, WeightedInstancesHandler, Drawable, AdditionalMeasureProducer

Base class for a Bayes Network classifier. Provides datastructures (network structure, conditional probability distributions, etc.) and facilities common to Bayes Network learning algorithms like K2 and B. Works with nominal variables and no missing values only. For further documentation, see

### toXMLBIF03

    public java.lang.String toXMLBIF03()

  Returns a description of the classifier in XML BIF 0.3 format. See http://www-2.cs.cmu.edu/~fgcozman/Research/InterchangeFormat/ for details on XML BIF.

  Returns:
    an XML BIF 0.3 description of the classifier as a string.

### useADTreeTipText

    public java.lang.String useADTreeTipText()

  Returns:
    a string to describe the UseADTreeoption.

### searchAlgorithmTipText

    public java.lang.String searchAlgorithmTipText()

  Returns:
    a string to describe the SearchAlgorithm.

### estimatorTipText

    public java.lang.String estimatorTipText()

  This will return a string describing the BayesNetEstimator.

  Returns:
    The string.

### BIFFileTipText

    public java.lang.String BIFFileTipText()

  Returns:
    a string to describe the BIFFile.

### globalInfo

    public java.lang.String globalInfo()

  This will return a string describing the classifier.

  Returns:
    The string.

### main

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

  Main method for testing this class.

  Parameters:
    `argv` - the options

### getName

    public java.lang.String getName()

  get name of the Bayes network

  Returns:
    name of the Bayes net

### getNrOfNodes

    public int getNrOfNodes()

  get number of nodes in the Bayes network

  Returns:
    number of nodes

### getNodeName

    public java.lang.String getNodeName(int iNode)

  get name of a node in the Bayes network

  Parameters:
    `iNode:` - index of the node
  Returns:
    name of the specified node

### getCardinality

    public int getCardinality(int iNode)

  get number of values a node can take

  Parameters:
    `iNode:` - index of the node
  Returns:
    cardinality of the specified node

### getNodeValue

    public java.lang.String getNodeValue(int iNode,
                                         int iValue)

  get name of a particular value of a node

  Parameters:
    `iNode:` - index of the node
    `iValue:` - index of the value
  Returns:
    cardinality of the specified node

### getNrOfParents

    public int getNrOfParents(int iNode)

  get number of parents of a node in the network structure

  Parameters:
    `iNode:` - index of the node
  Returns:
    number of parents of the specified node

### getParent

    public int getParent(int iNode,
                         int iParent)

  get node index of a parent of a node in the network structure

  Parameters:
    `iNode:` - index of the node
    `iParent:` - index of the parents, e.g., 0 is the first parent, 1 the second parent, etc.
  Returns:
    node index of the iParent's parent of the specified node

### getParentSets

    public ParentSet[] getParentSets()

  Get full set of parent sets.

  Returns:
    parent sets;

### getDistributions

    public Estimator[][] getDistributions()

  Get full set of estimators.

  Returns:
    estimators;

### getParentCardinality

    public int getParentCardinality(int iNode)

  get number of values the collection of parents of a node can take

  Parameters:
    `iNode:` - index of the node
  Returns:
    cardinality of the parent set of the specified node

### getProbability

    public double getProbability(int iNode,
                                 int iParent,
                                 int iValue)

  get particular probability of the conditional probability distribtion of a node given its parents.

  Parameters:
    `iNode:` - index of the node
    `iParent:` - index of the parent set, 0 <= iParent <= getParentCardinality(iNode)
    `iValue:` - index of the value, 0 <= iValue <= getCardinality(iNode)
  Returns:
    probability

### getParentSet

    public ParentSet getParentSet(int iNode)

  get the parent set of a node

  Parameters:
    `iNode:` - index of the node
  Returns:
    Parent set of the specified node.

### getADTree

    public ADNode getADTree()

  get ADTree strucrture containing efficient representation of counts.

  Returns:
    ADTree strucrture

### enumerateMeasures

    public java.util.Enumeration enumerateMeasures()

  Returns an enumeration of the measure names. Additional measures must follow the naming convention of starting with "measure", eg. double measureBlah()

  Specified by:
    `enumerateMeasures` in interface `AdditionalMeasureProducer`
  Returns:
    an enumeration of the measure names

### measureExtraArcs

    public double measureExtraArcs()

### measureMissingArcs

    public double measureMissingArcs()

### measureReversedArcs

    public double measureReversedArcs()

### measureDivergence

    public double measureDivergence()

### measureBayesScore

    public double measureBayesScore()

### measureBDeuScore

    public double measureBDeuScore()

### measureMDLScore

    public double measureMDLScore()

### measureAICScore

    public double measureAICScore()

### measureEntropyScore

    public double measureEntropyScore()

### getMeasure

    public double getMeasure(java.lang.String measureName)

  Returns the value of the named measure

  Specified by:
    `getMeasure` in interface `AdditionalMeasureProducer`
  Parameters:
    `measureName` - the name of the measure to query for its value
  Returns:
    the value of the named measure
  Throws:
    `java.lang.IllegalArgumentException` - if the named measure is not supported

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