Package co.elastic.clients.elasticsearch.ml

Class TrainedModelConfig

java.lang.Object
co.elastic.clients.elasticsearch.ml.TrainedModelConfig
All Implemented Interfaces:
JsonpSerializable
Direct Known Subclasses:
PutTrainedModelResponse
@JsonpDeserializable
public class TrainedModelConfig
extends java.lang.Object
implements JsonpSerializable
See Also:
API specification

  • Field Details

  • Constructor Details

  • Method Details

    • trainedModelConfigOf

      public static TrainedModelConfig trainedModelConfigOf​(java.util.function.Function<TrainedModelConfig.Builder,​ObjectBuilder<TrainedModelConfig>> fn)

    • modelId

      public final java.lang.String modelId()
      Required - Idetifier for the trained model.

      API name: model_id

    • tags

      public final java.util.List<java.lang.String> tags()
      Required - A comma delimited string of tags. A trained model can have many tags, or none.

      API name: tags

    • version

      @Nullable public final java.lang.String version()
      The Elasticsearch version number in which the trained model was created.

      API name: version

    • compressedDefinition

      @Nullable public final java.lang.String compressedDefinition()
      API name: compressed_definition

    • createdBy

      @Nullable public final java.lang.String createdBy()
      Information on the creator of the trained model.

      API name: created_by

    • createTime

      @Nullable public final Time createTime()
      The time when the trained model was created.

      API name: create_time

    • defaultFieldMap

      public final java.util.Map<java.lang.String,​java.lang.String> defaultFieldMap()
      Any field map described in the inference configuration takes precedence.

      API name: default_field_map

    • description

      @Nullable public final java.lang.String description()
      The free-text description of the trained model.

      API name: description

    • estimatedHeapMemoryUsageBytes

      @Nullable public final java.lang.Integer estimatedHeapMemoryUsageBytes()
      The estimated heap usage in bytes to keep the trained model in memory.

      API name: estimated_heap_memory_usage_bytes

    • estimatedOperations

      @Nullable public final java.lang.Integer estimatedOperations()
      The estimated number of operations to use the trained model.

      API name: estimated_operations

    • inferenceConfig

      public final InferenceConfig 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

    • input

      public final TrainedModelConfigInput input()
      Required - The input field names for the model definition.

      API name: input

    • licenseLevel

      @Nullable public final java.lang.String licenseLevel()
      The license level of the trained model.

      API name: license_level

    • metadata

      @Nullable public final TrainedModelConfigMetadata 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

    • serialize

      public void serialize​(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)
      Serialize this object to JSON.
      Specified by:
      serialize in interface JsonpSerializable

    • serializeInternal

      protected void serializeInternal​(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)

    • setupTrainedModelConfigDeserializer

      protected static <BuilderT extends TrainedModelConfig.AbstractBuilder<BuilderT>> void setupTrainedModelConfigDeserializer​(ObjectDeserializer<BuilderT> op)