Uses of Class
org.deeplearning4j.models.rntn.Tree

Packages that use Tree

Package	Description
org.deeplearning4j.models.rntn
org.deeplearning4j.text.corpora.treeparser
org.deeplearning4j.text.corpora.treeparser.transformer

Uses of Tree in org.deeplearning4j.models.rntn

Methods in org.deeplearning4j.models.rntn with type parameters of type Tree

Modifier and Type	Method and Description
<T extends Tree> List<T>	Tree.getLeaves() Gets the leaves of the tree.
<T extends Tree> List<T>	Tree.getLeaves(List<T> list) Gets the leaves of the tree.

Methods in org.deeplearning4j.models.rntn that return Tree

Modifier and Type	Method and Description
Tree	Tree.ancestor(int height, Tree root) Returns the ancestor of the given tree
Tree	Tree.clone()
Tree	Tree.firstChild()
Tree	Tree.lastChild()
Tree	Tree.parent()
Tree	Tree.parent(Tree root) Returns the parent of the passed in tree via traversal

Methods in org.deeplearning4j.models.rntn that return types with arguments of type Tree

Modifier and Type	Method and Description
List<Tree>	Tree.children()
List<Tree>	Tree.getChildren()

Methods in org.deeplearning4j.models.rntn with parameters of type Tree

Modifier and Type	Method and Description
Tree	Tree.ancestor(int height, Tree root) Returns the ancestor of the given tree
int	Tree.depth(Tree node) Returns the distance between this node and the specified subnode
void	RNTN.forwardPropagateTree(Tree tree) This is the method to call for assigning labels and node vectors to the Tree.
org.nd4j.linalg.api.ndarray.INDArray	RNTN.getClassWForNode(Tree node)
org.nd4j.linalg.api.ndarray.INDArray	RNTN.getINDArrayForNode(Tree node)
org.nd4j.linalg.api.ndarray.INDArray	RNTN.getWForNode(Tree node)
Tree	Tree.parent(Tree root) Returns the parent of the passed in tree via traversal
void	Tree.setParent(Tree parent)

Method parameters in org.deeplearning4j.models.rntn with type arguments of type Tree

Modifier and Type	Method and Description
void	Tree.connect(List<Tree> children) Connects the given trees and sets the parents of the children
void	RNTNEval.eval(RNTN rntn, List<Tree> trees)
void	RNTN.fit(List<Tree> trainingBatch) Trains the network on this mini batch
List<org.nd4j.linalg.api.ndarray.INDArray>	RNTN.output(List<Tree> trees) output the prediction probabilities for each tree
List<Integer>	RNTN.predict(List<Tree> trees) output the top level labels for each tree

Constructors in org.deeplearning4j.models.rntn with parameters of type Tree

Constructor and Description
Tree(Tree tree) Clone constructor (all but the children)
Tree(Tree parent, List<String> tokens)

Uses of Tree in org.deeplearning4j.text.corpora.treeparser

Methods in org.deeplearning4j.text.corpora.treeparser that return Tree

Modifier and Type	Method and Description
static Tree	TreeFactory.buildTree(org.cleartk.syntax.constituent.type.TreebankNode node) Builds a tree recursively adding the children as necessary
static Tree	TreeFactory.buildTree(org.cleartk.syntax.constituent.type.TreebankNode node, Pair<String,MultiDimensionalMap<Integer,Integer,String>> labels, List<String> possibleLabels) Builds a tree recursively adding the children as necessary
Tree	HeadWordFinder.findHead(Tree parentNode) Finds the bottom most head
Tree	HeadWordFinder.findHead2(Tree parentNode)
static Tree	TreeFactory.toTree(org.cleartk.syntax.constituent.type.TreebankNode node) Converts a treebank node to a tree
static Tree	TreeFactory.toTree(org.cleartk.syntax.constituent.type.TreebankNode node, Pair<String,MultiDimensionalMap<Integer,Integer,String>> labels) Converts a treebank node to a tree
Tree	BinarizeTreeTransformer.transform(Tree t)
Tree	CollapseUnaries.transform(Tree tree)

Methods in org.deeplearning4j.text.corpora.treeparser that return types with arguments of type Tree

Modifier and Type	Method and Description
List<Tree>	TreeVectorizer.getTrees(String sentences) Vectorizes the passed in sentences
List<Tree>	TreeParser.getTrees(String text) Gets trees from text.
List<Tree>	TreeParser.getTrees(String text, SentencePreProcessor preProcessor) Gets trees from text.
List<Tree>	TreeVectorizer.getTreesWithLabels(String sentences, List<String> labels) Vectorizes the passed in sentences
List<Tree>	TreeParser.getTreesWithLabels(String text, List<String> labels) Gets trees from text.
List<Tree>	TreeVectorizer.getTreesWithLabels(String sentences, String label, List<String> labels) Vectorizes the passed in sentences
List<Tree>	TreeParser.getTreesWithLabels(String text, String label, List<String> labels) Gets trees from text.
List<Tree>	TreeIterator.next() Returns the next element in the iteration.

Methods in org.deeplearning4j.text.corpora.treeparser with parameters of type Tree

Modifier and Type	Method and Description
Tree	HeadWordFinder.findHead(Tree parentNode) Finds the bottom most head
Tree	HeadWordFinder.findHead2(Tree parentNode)
Tree	BinarizeTreeTransformer.transform(Tree t)
Tree	CollapseUnaries.transform(Tree tree)

Uses of Tree in org.deeplearning4j.text.corpora.treeparser.transformer

Methods in org.deeplearning4j.text.corpora.treeparser.transformer that return Tree

Modifier and Type	Method and Description
Tree	TreeTransformer.transform(Tree t) Applies a applyTransformToOrigin to a tree

Methods in org.deeplearning4j.text.corpora.treeparser.transformer with parameters of type Tree

Modifier and Type	Method and Description
Tree	TreeTransformer.transform(Tree t) Applies a applyTransformToOrigin to a tree