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Auto-generated code for 8.10 #2077

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Nov 16, 2023
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Auto-generated code for 8.10 #2077

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1 change: 1 addition & 0 deletions docs/reference.asciidoc
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Expand Up @@ -6355,6 +6355,7 @@ client.ml.startTrainedModelDeployment({ model_id })
** *`cache_size` (Optional, number | string)*: The inference cache size (in memory outside the JVM heap) per node for the model.
The default value is the same size as the `model_size_bytes`. To disable the cache,
`0b` can be provided.
** *`deployment_id` (Optional, string)*: A unique identifier for the deployment of the model.
** *`number_of_allocations` (Optional, number)*: 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
a separate set of threads to evaluate the model.
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1 change: 1 addition & 0 deletions src/api/types.ts
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Expand Up @@ -14087,6 +14087,7 @@ export interface MlStartDatafeedResponse {
export interface MlStartTrainedModelDeploymentRequest extends RequestBase {
model_id: Id
cache_size?: ByteSize
deployment_id?: string
number_of_allocations?: integer
priority?: MlTrainingPriority
queue_capacity?: integer
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1 change: 1 addition & 0 deletions src/api/typesWithBodyKey.ts
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Expand Up @@ -14356,6 +14356,7 @@ export interface MlStartDatafeedResponse {
export interface MlStartTrainedModelDeploymentRequest extends RequestBase {
model_id: Id
cache_size?: ByteSize
deployment_id?: string
number_of_allocations?: integer
priority?: MlTrainingPriority
queue_capacity?: integer
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