marytts.cart
Class StringPredictionTree

java.lang.Object
  marytts.cart.DirectedGraph
      marytts.cart.CART
          marytts.cart.StringPredictionTree

public class StringPredictionTree
extends CART

Field Summary

static java.lang.String	ENC_LINE_END
static java.lang.String	ENC_LINE_START

Fields inherited from class marytts.cart.DirectedGraph

featDef, logger, properties, rootNode

Constructor Summary

StringPredictionTree(java.io.BufferedReader reader, FeatureDefinition featDefinition)
This constructs a new string prediciton tree from a stream containing a tree in wagon format.

StringPredictionTree(Node aRootNode, FeatureDefinition aFeatDef, java.lang.String[] aTargetDecoding)

Method Summary

java.lang.String	getMostProbableString(FeatureVector aFV)
java.lang.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.
java.lang.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 java.lang.String ENC_LINE_START

See Also:

Constant Field Values

ENC_LINE_END

public static final java.lang.String ENC_LINE_END

See Also:

Constant Field Values

Constructor Detail

StringPredictionTree

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

Parameters:

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

featDef - the featureDefinition used in this tree

StringPredictionTree

public StringPredictionTree(java.io.BufferedReader reader,
                            FeatureDefinition featDefinition)
                     throws java.io.IOException

This constructs a new string prediciton 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'}

Throws:

java.io.IOException

Method Detail

toString

public java.lang.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:

target - the target 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 java.lang.String getMostProbableString(FeatureVector aFV)

getMostProbableString

public java.lang.String getMostProbableString(Target aTarget)