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elasticsearch-api/lib/elasticsearch/api/actions/machine_learning
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lines changed Original file line number Diff line number Diff line change @@ -23,10 +23,10 @@ module API
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module MachineLearning
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module Actions
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# Clear the cached results from a trained model deployment
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- # This functionality is Experimental and may be changed or removed
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- # completely in a future release. Elastic will take a best effort approach
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- # to fix any issues, but experimental features are not subject to the
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- # support SLA of official GA features.
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+ # This functionality is in Beta and is subject to change. The design and
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+ # code is less mature than official GA features and is being provided
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+ # as-is with no warranties. Beta features are not subject to the support
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+ # SLA of official GA features.
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#
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# @option arguments [String] :model_id The unique identifier of the trained model. (*Required*)
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# @option arguments [Hash] :headers Custom HTTP headers
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module MachineLearning
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module Actions
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# Evaluate a trained model.
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- # This functionality is Experimental and may be changed or removed
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- # completely in a future release. Elastic will take a best effort approach
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- # to fix any issues, but experimental features are not subject to the
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- # support SLA of official GA features.
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+ # This functionality is in Beta and is subject to change. The design and
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+ # code is less mature than official GA features and is being provided
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+ # as-is with no warranties. Beta features are not subject to the support
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+ # SLA of official GA features.
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#
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# @option arguments [String] :model_id The unique identifier of the trained model. (*Required*)
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# @option arguments [Time] :timeout Controls the amount of time to wait for inference results.
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module MachineLearning
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module Actions
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# Creates part of a trained model definition
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- # This functionality is Experimental and may be changed or removed
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- # completely in a future release. Elastic will take a best effort approach
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- # to fix any issues, but experimental features are not subject to the
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- # support SLA of official GA features.
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+ # This functionality is in Beta and is subject to change. The design and
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+ # code is less mature than official GA features and is being provided
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+ # as-is with no warranties. Beta features are not subject to the support
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+ # SLA of official GA features.
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#
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# @option arguments [String] :model_id The ID of the trained model for this definition part
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# @option arguments [Integer] :part The part number
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module MachineLearning
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module Actions
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# Creates a trained model vocabulary
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- # This functionality is Experimental and may be changed or removed
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- # completely in a future release. Elastic will take a best effort approach
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- # to fix any issues, but experimental features are not subject to the
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- # support SLA of official GA features.
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+ # This functionality is in Beta and is subject to change. The design and
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+ # code is less mature than official GA features and is being provided
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+ # as-is with no warranties. Beta features are not subject to the support
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+ # SLA of official GA features.
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#
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# @option arguments [String] :model_id The ID of the trained model for this vocabulary
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# @option arguments [Hash] :headers Custom HTTP headers
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module MachineLearning
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module Actions
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# Start a trained model deployment.
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- # This functionality is Experimental and may be changed or removed
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- # completely in a future release. Elastic will take a best effort approach
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- # to fix any issues, but experimental features are not subject to the
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- # support SLA of official GA features.
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+ # This functionality is in Beta and is subject to change. The design and
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+ # code is less mature than official GA features and is being provided
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+ # as-is with no warranties. Beta features are not subject to the support
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+ # SLA of official GA features.
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#
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# @option arguments [String] :model_id The unique identifier of the trained model. (*Required*)
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# @option arguments [String] :cache_size A byte-size value for configuring the inference cache size. For example, 20mb.
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- # @option arguments [Integer] :number_of_allocations The number of model allocations on each node where the model is deployed .
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+ # @option arguments [Integer] :number_of_allocations The total number of allocations this model is assigned across machine learning nodes .
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# @option arguments [Integer] :threads_per_allocation The number of threads used by each model allocation during inference.
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# @option arguments [Integer] :queue_capacity Controls how many inference requests are allowed in the queue at a time.
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# @option arguments [Time] :timeout Controls the amount of time to wait for the model to deploy.
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module MachineLearning
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module Actions
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# Stop a trained model deployment.
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- # This functionality is Experimental and may be changed or removed
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- # completely in a future release. Elastic will take a best effort approach
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- # to fix any issues, but experimental features are not subject to the
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- # support SLA of official GA features.
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+ # This functionality is in Beta and is subject to change. The design and
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+ # code is less mature than official GA features and is being provided
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+ # as-is with no warranties. Beta features are not subject to the support
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+ # SLA of official GA features.
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#
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# @option arguments [String] :model_id The unique identifier of the trained model. (*Required*)
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# @option arguments [Boolean] :allow_no_match Whether to ignore if a wildcard expression matches no deployments. (This includes `_all` string or when no deployments have been specified)
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