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Auto-generated code for 8.11 #2376

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merged 1 commit into from
Nov 21, 2023
Merged

Auto-generated code for 8.11 #2376

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4 changes: 4 additions & 0 deletions elasticsearch/_async/client/ml.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3582,6 +3582,7 @@ async def start_trained_model_deployment(
*,
model_id: str,
cache_size: t.Optional[t.Union[int, str]] = None,
deployment_id: t.Optional[str] = None,
error_trace: t.Optional[bool] = None,
filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
human: t.Optional[bool] = None,
Expand All @@ -3605,6 +3606,7 @@ async def start_trained_model_deployment(
:param cache_size: 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.
:param deployment_id: A unique identifier for the deployment of the model.
:param number_of_allocations: 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.
Expand All @@ -3631,6 +3633,8 @@ async def start_trained_model_deployment(
__query: t.Dict[str, t.Any] = {}
if cache_size is not None:
__query["cache_size"] = cache_size
if deployment_id is not None:
__query["deployment_id"] = deployment_id
if error_trace is not None:
__query["error_trace"] = error_trace
if filter_path is not None:
Expand Down
4 changes: 4 additions & 0 deletions elasticsearch/_sync/client/ml.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3582,6 +3582,7 @@ def start_trained_model_deployment(
*,
model_id: str,
cache_size: t.Optional[t.Union[int, str]] = None,
deployment_id: t.Optional[str] = None,
error_trace: t.Optional[bool] = None,
filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None,
human: t.Optional[bool] = None,
Expand All @@ -3605,6 +3606,7 @@ def start_trained_model_deployment(
:param cache_size: 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.
:param deployment_id: A unique identifier for the deployment of the model.
:param number_of_allocations: 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.
Expand All @@ -3631,6 +3633,8 @@ def start_trained_model_deployment(
__query: t.Dict[str, t.Any] = {}
if cache_size is not None:
__query["cache_size"] = cache_size
if deployment_id is not None:
__query["deployment_id"] = deployment_id
if error_trace is not None:
__query["error_trace"] = error_trace
if filter_path is not None:
Expand Down