marytts.cart

Class StringPredictionTree

java.lang.Object

marytts.cart.DirectedGraph

marytts.cart.CART

marytts.cart.StringPredictionTree

public class StringPredictionTree
extends CART

Field Summary

Fields

Modifier and Type	Field and Description
static String	ENC_LINE_END
static String	ENC_LINE_START

Fields inherited from class marytts.cart.DirectedGraph

featDef, logger, properties, rootNode

Constructor Summary

Constructors

Constructor and Description
StringPredictionTree(BufferedReader reader, FeatureDefinition featDefinition) This constructs a new string prediction tree from a stream containing a tree in wagon format.
StringPredictionTree(Node aRootNode, FeatureDefinition aFeatDef, String[] aTargetDecoding)

Method Summary

Methods

Modifier and Type	Method and Description
String	getMostProbableString(FeatureVector aFV)
String	getMostProbableString(Target aTarget)
Node	interpretToNode(FeatureVector featureVector, int minNumberOfData) TODO: copied from CART, does not work as expected with minNumberOfData = 0 Passes the given item through this CART and returns the leaf Node, or the Node it stopped walking down.
String	toString()

Methods inherited from class marytts.cart.CART

interpret, interpretToNode, replaceLeafByCart

Methods inherited from class marytts.cart.DirectedGraph

getDecisionNodeIterator, getDecisionNodes, getDirectedGraphNodeIterator, getDirectedGraphNodes, getFeatureDefinition, getLeafNodeIterator, getLeafNodes, getNodeIterator, getNodes, getNumNodes, getProperties, getRootNode, interpret, interpret, interpret, setRootNode

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

ENC_LINE_START

public static final String ENC_LINE_START

See Also:

Constant Field Values

ENC_LINE_END

public static final String ENC_LINE_END

See Also:

Constant Field Values

Constructor Detail

StringPredictionTree

public StringPredictionTree(Node aRootNode,
                    FeatureDefinition aFeatDef,
                    String[] aTargetDecoding)

Parameters:

aRootNode - the root node of this tree. This node has to be set to be a root node beforehand.

aFeatDef - the featureDefinition used in this tree

aTargetDecoding - aTargetDecoding

StringPredictionTree

public StringPredictionTree(BufferedReader reader,
                    FeatureDefinition featDefinition)
                     throws IOException

This constructs a new string prediction tree from a stream containing a tree in wagon format. In addition to the constructor of ExtendedClassificationTree it reads in the mapping from numbers to the Strings from a stream. The encoding has to be the first line in the file (a empty line is allowed). It has the form: ;;target={1:'string_a',2:'string_b,'...',26:'string_z'}

Parameters:

reader - reader

featDefinition - featDefinition

Throws:

IOException - IOException

Method Detail

toString

public String toString()

Overrides:

toString in class DirectedGraph

interpretToNode

public Node interpretToNode(FeatureVector featureVector,
                   int minNumberOfData)

TODO: copied from CART, does not work as expected with minNumberOfData = 0 Passes the given item through this CART and returns the leaf Node, or the Node it stopped walking down.

Overrides:

interpretToNode in class CART

Parameters:

featureVector - the feature vector to analyze

minNumberOfData - the minimum number of data requested. If this is 0, walk down the CART until the leaf level.

Returns:

the Node

getMostProbableString

public String getMostProbableString(FeatureVector aFV)

getMostProbableString

public String getMostProbableString(Target aTarget)