Package | Description |
---|---|
org.apache.ignite.ml.tree |
Root package for decision trees.
|
Modifier and Type | Class and Description |
---|---|
class |
DecisionTreeConditionalNode
Decision tree conditional (non-leaf) node.
|
class |
DecisionTreeLeafNode
Decision tree leaf node which contains value.
|
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.
|
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.
|
Follow @ApacheIgnite
Ignite Database and Caching Platform : ver. 2.7.2 Release Date : February 6 2019