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 Constructor Description Builder() -
Method Summary
Modifier and Type Method Description TrainedModelbuild()Builds aTrainedModel.TrainedModel.Builderensemble(Ensemble value)The definition for an ensemble modelTrainedModel.Builderensemble(java.util.function.Function<Ensemble.Builder,ObjectBuilder<Ensemble>> fn)The definition for an ensemble modelprotected TrainedModel.Builderself()TrainedModel.Buildertree(TrainedModelTree value)The definition for a binary decision tree.TrainedModel.Buildertree(java.util.function.Function<TrainedModelTree.Builder,ObjectBuilder<TrainedModelTree>> fn)The definition for a binary decision tree.TrainedModel.BuildertreeNode(TrainedModelTreeNode value)The definition of a node in a tree.TrainedModel.BuildertreeNode(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.WithJsonObjectBuilderBase
withJsonMethods inherited from class co.elastic.clients.util.ObjectBuilderBase
_checkSingleUse, _listAdd, _listAddAll, _mapPut, _mapPutAllMethods 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 -
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 -
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(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
The definition for an ensemble modelAPI name:
ensemble -
ensemble
public final TrainedModel.Builder ensemble(java.util.function.Function<Ensemble.Builder,ObjectBuilder<Ensemble>> fn)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:
java.lang.NullPointerException- if some of the required fields are null.
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