Uses of Interface
org.apache.ignite.ml.tree.DecisionTreeNode

Packages that use DecisionTreeNode

Package	Description
org.apache.ignite.ml.tree	Root package for decision trees.
org.apache.ignite.ml.xgboost	Base package for XGBoost model parser, correspondent DTOs and util classes.
org.apache.ignite.ml.xgboost.parser.visitor	Base package for XGBoost model parser ANTLR visitor.

Uses of DecisionTreeNode in org.apache.ignite.ml.tree

Classes in org.apache.ignite.ml.tree that implement DecisionTreeNode

Modifier and Type	Class and Description
class	DecisionTreeConditionalNode Decision tree conditional (non-leaf) node.
class	DecisionTreeLeafNode Decision tree leaf node which contains value.

Methods in org.apache.ignite.ml.tree that return DecisionTreeNode

Modifier and Type	Method and Description
<K,V> DecisionTreeNode	DecisionTree.fit(Dataset<EmptyContext,DecisionTreeData> dataset)
<K,V> DecisionTreeNode	DecisionTree.fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor) Trains model based on the specified data.
DecisionTreeNode	DecisionTreeConditionalNode.getElseNode()
DecisionTreeNode	DecisionTreeConditionalNode.getMissingNode()
DecisionTreeNode	DecisionTreeConditionalNode.getThenNode()
protected <K,V> DecisionTreeNode	DecisionTree.updateModel(DecisionTreeNode mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor) Trains new model based on dataset because there is no valid approach to update decision trees.

Methods in org.apache.ignite.ml.tree with parameters of type DecisionTreeNode

Modifier and Type	Method and Description
boolean	DecisionTree.isUpdateable(DecisionTreeNode mdl)
static String	DecisionTree.printTree(DecisionTreeNode node, boolean pretty) Represents DecisionTree as String.
void	DecisionTreeConditionalNode.setElseNode(DecisionTreeNode elseNode)
void	DecisionTreeConditionalNode.setMissingNode(DecisionTreeNode missingNode)
void	DecisionTreeConditionalNode.setThenNode(DecisionTreeNode thenNode)
protected <K,V> DecisionTreeNode	DecisionTree.updateModel(DecisionTreeNode mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor) Trains new model based on dataset because there is no valid approach to update decision trees.

Constructors in org.apache.ignite.ml.tree with parameters of type DecisionTreeNode

Constructor and Description
DecisionTreeConditionalNode(int col, double threshold, DecisionTreeNode thenNode, DecisionTreeNode elseNode, DecisionTreeNode missingNode) Constructs a new instance of decision tree conditional node.

Uses of DecisionTreeNode in org.apache.ignite.ml.xgboost

Constructor parameters in org.apache.ignite.ml.xgboost with type arguments of type DecisionTreeNode

Constructor and Description
XGModelComposition(Map<String,Integer> dict, List<DecisionTreeNode> models) Constructs a new instance of composition of models.

Uses of DecisionTreeNode in org.apache.ignite.ml.xgboost.parser.visitor

Methods in org.apache.ignite.ml.xgboost.parser.visitor that return DecisionTreeNode

Modifier and Type	Method and Description
DecisionTreeNode	XGTreeVisitor.visitXgTree(XGBoostModelParser.XgTreeContext ctx) Visit a parse tree produced by XGBoostModelParser.xgTree().