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.-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionbuild()Builds aTrainedModel.final TrainedModel.BuilderThe definition for an ensemble modelfinal TrainedModel.BuilderThe definition for an ensemble modelprotected TrainedModel.Builderself()final TrainedModel.Buildertree(TrainedModelTree value) The definition for a binary decision tree.final TrainedModel.BuilderThe definition for a binary decision tree.final TrainedModel.BuildertreeNode(TrainedModelTreeNode value) The definition of a node in a tree.final TrainedModel.BuilderThe definition of a node in a tree.Methods inherited from class co.elastic.clients.util.WithJsonObjectBuilderBase
withJsonMethods 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 -
tree
public final TrainedModel.Builder tree(Function<TrainedModelTree.Builder, ObjectBuilder<TrainedModelTree>> fn) The definition for a binary decision tree.API name:
tree -
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 -
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 -
ensemble
The definition for an ensemble modelAPI name:
ensemble -
ensemble
The definition for an ensemble modelAPI name:
ensemble -
self
- Specified by:
selfin classWithJsonObjectBuilderBase<TrainedModel.Builder>
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build
Builds aTrainedModel.- Specified by:
buildin interfaceObjectBuilder<TrainedModel>- Throws:
NullPointerException- if some of the required fields are null.
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