Class TrainedModelConfig
java.lang.Object
co.elastic.clients.elasticsearch.ml.TrainedModelConfig
- All Implemented Interfaces:
JsonpSerializable
- Direct Known Subclasses:
PutTrainedModelResponse
- See Also:
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Nested Class Summary
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Field Summary
Modifier and TypeFieldDescriptionstatic final JsonpDeserializer<TrainedModelConfig>
Json deserializer forTrainedModelConfig
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Constructor Summary
ModifierConstructorDescriptionprotected
TrainedModelConfig
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Method Summary
Modifier and TypeMethodDescriptionfinal String
API name:compressed_definition
final String
Information on the creator of the trained model.final Time
The time when the trained model was created.Any field map described in the inference configuration takes precedence.final String
The free-text description of the trained model.final Integer
The estimated heap usage in bytes to keep the trained model in memory.final Integer
The estimated number of operations to use the trained model.final InferenceConfig
Required - The default configuration for inference.final TrainedModelConfigInput
input()
Required - The input field names for the model definition.final String
The license level of the trained model.metadata()
An object containing metadata about the trained model.final String
modelId()
Required - Idetifier for the trained model.void
serialize
(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) Serialize this object to JSON.protected void
serializeInternal
(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) protected static <BuilderT extends TrainedModelConfig.AbstractBuilder<BuilderT>>
voidsetupTrainedModelConfigDeserializer
(ObjectDeserializer<BuilderT> op) tags()
Required - A comma delimited string of tags.toString()
static TrainedModelConfig
final String
version()
The Elasticsearch version number in which the trained model was created.
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Field Details
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_DESERIALIZER
Json deserializer forTrainedModelConfig
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Constructor Details
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TrainedModelConfig
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Method Details
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trainedModelConfigOf
public static TrainedModelConfig trainedModelConfigOf(Function<TrainedModelConfig.Builder, ObjectBuilder<TrainedModelConfig>> fn) -
modelId
Required - Idetifier for the trained model.API name:
model_id
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tags
Required - A comma delimited string of tags. A trained model can have many tags, or none.API name:
tags
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version
The Elasticsearch version number in which the trained model was created.API name:
version
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compressedDefinition
API name:compressed_definition
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createdBy
Information on the creator of the trained model.API name:
created_by
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createTime
The time when the trained model was created.API name:
create_time
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defaultFieldMap
Any field map described in the inference configuration takes precedence.API name:
default_field_map
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description
The free-text description of the trained model.API name:
description
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estimatedHeapMemoryUsageBytes
The estimated heap usage in bytes to keep the trained model in memory.API name:
estimated_heap_memory_usage_bytes
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estimatedOperations
The estimated number of operations to use the trained model.API name:
estimated_operations
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inferenceConfig
Required - The default configuration for inference. This can be either a regression or classification configuration. It must match the underlying definition.trained_model's target_type.API name:
inference_config
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input
Required - The input field names for the model definition.API name:
input
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licenseLevel
The license level of the trained model.API name:
license_level
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metadata
An object containing metadata about the trained model. For example, models created by data frame analytics contain analysis_config and input objects.API name:
metadata
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serialize
Serialize this object to JSON.- Specified by:
serialize
in interfaceJsonpSerializable
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serializeInternal
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toString
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setupTrainedModelConfigDeserializer
protected static <BuilderT extends TrainedModelConfig.AbstractBuilder<BuilderT>> void setupTrainedModelConfigDeserializer(ObjectDeserializer<BuilderT> op)
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