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Update deployment_id in ML trained model deployment start request #2325

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merged 5 commits into from
Nov 6, 2023
Merged

Update deployment_id in ML trained model deployment start request #2325

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2f24f6a
Add missing `deployment_id` parameter in `ml.start_trained_model_depl…
dolaru Nov 1, 2023
4b2da88
Rename
dolaru Nov 1, 2023
b2e3974
Revert changes to `ml.stop_trained_model_deployment`
dolaru Nov 6, 2023
88c9acb
make contrib
dolaru Nov 6, 2023
62584f9
Revert changes to serverless API spec
dolaru Nov 6, 2023
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5 changes: 5 additions & 0 deletions specification/ml/start_trained_model_deployment/MlStartTrainedModelDeploymentRequest.ts
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Expand Up @@ -47,6 +47,11 @@ export interface Request extends RequestBase {
* `0b` can be provided.
*/
cache_size?: ByteSize
/**
* A unique identifier for the deployment of the model.
* @availability stack since=8.8.0
*/
deployment_id?: string
/**
* The number of model allocations on each node where the model is deployed.
* All allocations on a node share the same copy of the model in memory but use
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4 changes: 2 additions & 2 deletions specification/ml/stop_trained_model_deployment/MlStopTrainedModelDeploymentRequest.ts
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Expand Up @@ -30,9 +30,9 @@ import { Id } from '@_types/common'
export interface Request extends RequestBase {
path_parts: {
/**
* The unique identifier of the trained model.
* The unique identifier for the deployment of the model.
*/
model_id: Id
deployment_id: Id
}
query_parameters: {
/**
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