Uses of Class
org.apache.ignite.ml.tree.randomforest.data.TreeNode

Packages that use TreeNode

Package	Description
org.apache.ignite.ml.tree.randomforest	Contains random forest implementation classes.
org.apache.ignite.ml.tree.randomforest.data	Package contains helper data structures for random forest implementation.
org.apache.ignite.ml.tree.randomforest.data.impurity	Contains implementation of impurity computers based on histograms.

Uses of TreeNode in org.apache.ignite.ml.tree.randomforest

Method parameters in org.apache.ignite.ml.tree.randomforest with type arguments of type TreeNode

Modifier and Type	Method and Description
protected ArrayList<TreeRoot>	RandomForestTrainer.initTrees(Queue<TreeNode> treesQueue) Creates list of trees.
T	RandomForestTrainer.withNodesToLearnSelectionStrgy(Function<Queue<TreeNode>,List<TreeNode>> strgy) Sets strategy for selection nodes from learning queue in each iteration.
T	RandomForestTrainer.withNodesToLearnSelectionStrgy(Function<Queue<TreeNode>,List<TreeNode>> strgy) Sets strategy for selection nodes from learning queue in each iteration.

Uses of TreeNode in org.apache.ignite.ml.tree.randomforest.data

Methods in org.apache.ignite.ml.tree.randomforest.data that return TreeNode

Modifier and Type	Method and Description
TreeNode	TreeNode.getLeft()
TreeNode	TreeNode.getRight()
TreeNode	TreeRoot.getRootNode()

Methods in org.apache.ignite.ml.tree.randomforest.data that return types with arguments of type TreeNode

Modifier and Type	Method and Description
List<TreeNode>	TreeRoot.getLeafs()
List<TreeNode>	NodeSplit.split(TreeNode node) Split node from parameter onto two children nodes.
List<TreeNode>	TreeNode.toConditional(int featureId, double val) Convert node to conditional node.

Methods in org.apache.ignite.ml.tree.randomforest.data with parameters of type TreeNode

Modifier and Type	Method and Description
void	NodeSplit.createLeaf(TreeNode node) Convert node to leaf.
List<TreeNode>	NodeSplit.split(TreeNode node) Split node from parameter onto two children nodes.

Constructors in org.apache.ignite.ml.tree.randomforest.data with parameters of type TreeNode

Constructor and Description
TreeRoot(TreeNode root, Set<Integer> usedFeatures) Create an instance of TreeRoot.

Uses of TreeNode in org.apache.ignite.ml.tree.randomforest.data.impurity

Method parameters in org.apache.ignite.ml.tree.randomforest.data.impurity with type arguments of type TreeNode

Modifier and Type	Method and Description
Map<NodeId,ImpurityHistogramsComputer.NodeImpurityHistograms<S>>	ImpurityHistogramsComputer.aggregateImpurityStatistics(ArrayList<TreeRoot> roots, Map<Integer,BucketMeta> histMeta, Map<NodeId,TreeNode> nodesToLearn, Dataset<EmptyContext,BootstrappedDatasetPartition> dataset) Computes histograms for each feature.