Package co.elastic.clients.elasticsearch.ml.put_trained_model

Class TrainedModel.Builder

java.lang.Object

co.elastic.clients.elasticsearch.ml.put_trained_model.TrainedModel.Builder

All Implemented Interfaces:

ObjectBuilder<TrainedModel>

Enclosing class:

TrainedModel

public static class TrainedModel.Builder
extends java.lang.Object
implements ObjectBuilder<TrainedModel>

Builder for TrainedModel.

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
TrainedModel	build()	Builds a TrainedModel.
TrainedModel.Builder	ensemble(Ensemble value)	The definition for an ensemble model
TrainedModel.Builder	ensemble(java.util.function.Function<Ensemble.Builder,ObjectBuilder<Ensemble>> fn)	The definition for an ensemble model
TrainedModel.Builder	tree(TrainedModelTree value)	The definition for a binary decision tree.
TrainedModel.Builder	tree(java.util.function.Function<TrainedModelTree.Builder,ObjectBuilder<TrainedModelTree>> fn)	The definition for a binary decision tree.
TrainedModel.Builder	treeNode(TrainedModelTreeNode value)	The definition of a node in a tree.
TrainedModel.Builder	treeNode(java.util.function.Function<TrainedModelTreeNode.Builder,ObjectBuilder<TrainedModelTreeNode>> fn)	The definition of a node in a tree.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Builder

public Builder()

Method Details

tree

public TrainedModel.Builder tree(@Nullable
TrainedModelTree value)

The definition for a binary decision tree.

API name: tree

tree

public TrainedModel.Builder tree(java.util.function.Function<TrainedModelTree.Builder,ObjectBuilder<TrainedModelTree>> fn)

The definition for a binary decision tree.

API name: tree

treeNode

public TrainedModel.Builder treeNode(@Nullable
TrainedModelTreeNode value)

The definition of a node in a tree. There are two major types of nodes: leaf nodes and not-leaf nodes.

• Leaf nodes only need node_index and leaf_value defined.
• All other nodes need split_feature, left_child, right_child, threshold, decision_type, and default_left defined.

API name: tree_node

treeNode

public TrainedModel.Builder treeNode(java.util.function.Function<TrainedModelTreeNode.Builder,ObjectBuilder<TrainedModelTreeNode>> fn)

The definition of a node in a tree. There are two major types of nodes: leaf nodes and not-leaf nodes.

• Leaf nodes only need node_index and leaf_value defined.
• All other nodes need split_feature, left_child, right_child, threshold, decision_type, and default_left defined.

API name: tree_node

ensemble

public TrainedModel.Builder ensemble(@Nullable
Ensemble value)

The definition for an ensemble model

API name: ensemble

ensemble

public TrainedModel.Builder ensemble(java.util.function.Function<Ensemble.Builder,ObjectBuilder<Ensemble>> fn)

The definition for an ensemble model

API name: ensemble

build

public TrainedModel build()

Builds a TrainedModel.

Specified by:

build in interface ObjectBuilder<TrainedModel>

Throws:

java.lang.NullPointerException - if some of the required fields are null.