Class TrainedModel.Builder
java.lang.Object
co.elastic.clients.util.ObjectBuilderBase
co.elastic.clients.elasticsearch.ml.put_trained_model.TrainedModel.Builder
- All Implemented Interfaces:
ObjectBuilder<TrainedModel>
- Enclosing class:
- TrainedModel
public static class TrainedModel.Builder extends ObjectBuilderBase implements ObjectBuilder<TrainedModel>
Builder for
TrainedModel
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Constructor Summary
Constructors Constructor Description Builder()
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Method Summary
Modifier and Type Method Description TrainedModel
build()
Builds aTrainedModel
.TrainedModel.Builder
ensemble(Ensemble value)
The definition for an ensemble modelTrainedModel.Builder
ensemble(java.util.function.Function<Ensemble.Builder,ObjectBuilder<Ensemble>> fn)
The definition for an ensemble modelTrainedModel.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 co.elastic.clients.util.ObjectBuilderBase
_checkSingleUse, _listAdd, _listAddAll, _mapPut, _mapPutAll
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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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(java.util.function.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(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
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ensemble
The definition for an ensemble modelAPI name:
ensemble
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ensemble
public final TrainedModel.Builder ensemble(java.util.function.Function<Ensemble.Builder,ObjectBuilder<Ensemble>> fn)The definition for an ensemble modelAPI name:
ensemble
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build
Builds aTrainedModel
.- Specified by:
build
in interfaceObjectBuilder<TrainedModel>
- Throws:
java.lang.NullPointerException
- if some of the required fields are null.
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