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ML Add trained model definition status to TrainedModelConfig #2093

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Merged
merged 3 commits into from
Apr 24, 2023
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ML Add trained model definition status to TrainedModelConfig #2093

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7c5ea94
Add trained model definition status
davidkyle Apr 19, 2023
3d44eb9
prettier fix
davidkyle Apr 24, 2023
1db45a2
Add definition_status to include request
davidkyle Apr 24, 2023
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68 changes: 48 additions & 20 deletions output/schema/schema.json
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4 changes: 3 additions & 1 deletion output/typescript/types.ts
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7 changes: 6 additions & 1 deletion specification/ml/_types/Include.ts
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Expand Up @@ -38,5 +38,10 @@ export enum Include {
* baseline and total feature importance values are returned in the metadata
* field in the response body.
*/
total_feature_importance
total_feature_importance,

/**
* Includes the model definition status.
*/
definition_status
}
6 changes: 6 additions & 0 deletions specification/ml/_types/TrainedModel.ts
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Expand Up @@ -176,6 +176,8 @@ export class TrainedModelConfig {
estimated_heap_memory_usage_bytes?: integer
/** The estimated number of operations to use the trained model. */
estimated_operations?: integer
/** True if the full model definition is present. */
fully_defined?: boolean
/** The default configuration for inference. This can be either a regression, classification, or one of the many NLP focused configurations. It must match the underlying definition.trained_model's target_type. */
inference_config: InferenceConfigCreateContainer
/** The input field names for the model definition. */
Expand Down Expand Up @@ -311,6 +313,10 @@ export class TrainedModelAssignmentTaskParameters {
* The unique identifier for the trained model.
*/
model_id: Id
/**
* The unique identifier for the trained model deployment.
*/
deployment_id: Id
/**
* The size of the trained model cache.
* @since 8.4.0
Expand Down