Class TrainedModel.Builder
java.lang.Object
co.elastic.clients.util.ObjectBuilderBase
co.elastic.clients.util.WithJsonObjectBuilderBase<TrainedModel.Builder>
co.elastic.clients.elasticsearch.ml.put_trained_model.TrainedModel.Builder
- All Implemented Interfaces:
WithJson<TrainedModel.Builder>
,ObjectBuilder<TrainedModel>
- Enclosing class:
- TrainedModel
public static class TrainedModel.Builder
extends WithJsonObjectBuilderBase<TrainedModel.Builder>
implements ObjectBuilder<TrainedModel>
Builder for
TrainedModel
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionbuild()
Builds aTrainedModel
.final TrainedModel.Builder
The definition for an ensemble modelfinal TrainedModel.Builder
The definition for an ensemble modelprotected TrainedModel.Builder
self()
final TrainedModel.Builder
tree
(TrainedModelTree value) The definition for a binary decision tree.final TrainedModel.Builder
The definition for a binary decision tree.final TrainedModel.Builder
treeNode
(TrainedModelTreeNode value) The definition of a node in a tree.final TrainedModel.Builder
The definition of a node in a tree.Methods inherited from class co.elastic.clients.util.WithJsonObjectBuilderBase
withJson
Methods inherited from class co.elastic.clients.util.ObjectBuilderBase
_checkSingleUse, _listAdd, _listAddAll, _mapPut, _mapPutAll
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Constructor Details
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Builder
public Builder()
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Method Details
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tree
The definition for a binary decision tree.API name:
tree
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tree
public final TrainedModel.Builder tree(Function<TrainedModelTree.Builder, ObjectBuilder<TrainedModelTree>> fn) The definition for a binary decision tree.API name:
tree
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treeNode
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
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treeNode
public final TrainedModel.Builder treeNode(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
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ensemble
The definition for an ensemble modelAPI name:
ensemble
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ensemble
The definition for an ensemble modelAPI name:
ensemble
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self
- Specified by:
self
in classWithJsonObjectBuilderBase<TrainedModel.Builder>
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build
Builds aTrainedModel
.- Specified by:
build
in interfaceObjectBuilder<TrainedModel>
- Throws:
NullPointerException
- if some of the required fields are null.
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