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.

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.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
DecisionTreeNode	DecisionTreeConditionalNode.getElseNode()
DecisionTreeNode	DecisionTreeConditionalNode.getThenNode()
<K,V> DecisionTreeNode	DecisionTree.updateModel(DecisionTreeNode mdl, DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) 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
protected boolean	DecisionTree.checkState(DecisionTreeNode mdl)
static String	DecisionTree.printTree(DecisionTreeNode node, boolean pretty) Represents DecisionTree as String.
<K,V> DecisionTreeNode	DecisionTree.updateModel(DecisionTreeNode mdl, DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains new model based on dataset because there is no valid approach to update decision trees.