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:

Serializable, 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: 8034 $;

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

Constructors

Constructor and Description
TreeModel(Element model, Instances dataDictionary, MiningSchema miningSchema)

Method Summary

Methods

Modifier and Type	Method and Description
double[]	distributionForInstance(Instance inst) Classifies the given test instance.
String	getRevision() Returns the revision string.
String	graph() Returns a string that describes a graph representing the object.
int	graphType() Returns the type of graph representing the object.
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, runClassifier, setDebug, setOptions

Methods inherited from class java.lang.Object

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

Constructor Detail

TreeModel

public TreeModel(Element model,
         Instances dataDictionary,
         MiningSchema miningSchema)
          throws Exception

Throws:

Exception

Method Detail

distributionForInstance

public double[] distributionForInstance(Instance inst)
                                 throws 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:

Exception - if an error occurred during the prediction

toString

public String toString()

Overrides:

toString in class Object

graph

public String graph()
             throws 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:

Exception - if the graph can't be computed

getRevision

public 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