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## weka.classifiers.pmml.consumer
Class TreeModel

    java.lang.Object
      weka.classifiers.AbstractClassifier
          weka.classifiers.pmml.consumer.PMMLClassifier
              weka.classifiers.pmml.consumer.TreeModel

All Implemented Interfaces:
  java.io.Serializable, java.lang.Cloneable, Classifier, CapabilitiesHandler, Drawable, OptionHandler, PMMLModel, RevisionHandler

    public class TreeModel

extends PMMLClassifier
implements Drawable

Class implementing import of PMML TreeModel. Can be used as a Weka classifier for prediction (buildClassifier() raises and Exception).

Version:
  $Revision: 5987 $;
Author:
  Mark Hall (mhall{[at]}pentaho{[dot]}com)
See Also:
  Serialized Form

Field Summary

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

Constructor Summary
`TreeModel(org.w3c.dom.Element model, Instances dataDictionary, MiningSchema miningSchema)`

Method Summary
`double[]` | `distributionForInstance(Instance inst)` Classifies the given test instance.
`java.lang.String` | `getRevision()` Returns the revision string.
`java.lang.String` | `graph()` Returns a string that describes a graph representing the object.
`int` | `graphType()` Returns the type of graph representing the object.
`java.lang.String` | `toString()`

Methods inherited from class weka.classifiers.pmml.consumer.PMMLClassifier
`buildClassifier, done, getCreatorApplication, getDataDictionary, getFieldsMappingString, getLog, getMiningSchema, getPMMLVersion, mapToMiningSchema, setCreatorApplication, setLog, setPMMLVersion`

Methods inherited from class weka.classifiers.AbstractClassifier
`classifyInstance, debugTipText, forName, getCapabilities, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions`

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

Constructor Detail

### TreeModel

    public TreeModel(org.w3c.dom.Element model,
                     Instances dataDictionary,
                     MiningSchema miningSchema)
              throws java.lang.Exception

Throws:
  `java.lang.Exception`

Method Detail

### distributionForInstance

    public double[] distributionForInstance(Instance inst)
                                     throws java.lang.Exception

  Classifies the given test instance. The instance has to belong to a dataset when it's being classified.

  Specified by:
    `distributionForInstance` in interface `Classifier`
  Overrides:
    `distributionForInstance` in class `AbstractClassifier`
  Parameters:
    `inst` - the instance to be classified
  Returns:
    the predicted most likely class for the instance or Utils.missingValue() if no prediction is made
  Throws:
    `java.lang.Exception` - if an error occurred during the prediction

### toString

    public java.lang.String toString()

  Overrides:
    `toString` in class `java.lang.Object`

### graph

    public java.lang.String graph()
                           throws java.lang.Exception

  Description copied from interface: `Drawable`
  Returns a string that describes a graph representing the object. The string should be in XMLBIF ver. 0.3 format if the graph is a BayesNet, otherwise it should be in dotty format.

  Specified by:
    `graph` in interface `Drawable`
  Returns:
    the graph described by a string
  Throws:
    `java.lang.Exception` - if the graph can't be computed

### getRevision

    public java.lang.String getRevision()

  Description copied from class: `AbstractClassifier`
  Returns the revision string.

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

### graphType

    public int graphType()

  Description copied from interface: `Drawable`
  Returns the type of graph representing the object.

  Specified by:
    `graphType` in interface `Drawable`
  Returns:
    the type of graph representing the object

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