Path parameters

• model_id string Required

  The unique identifier of the trained model. Currently, only PyTorch models are supported.

Query parameters

• cache_size 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.

• number_of_allocations 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. Increasing this value generally increases the throughput. If this setting is greater than the number of hardware threads it will automatically be changed to a value less than the number of hardware threads.

• priority string

  The deployment priority.

  Values are normal or low.

• queue_capacity number

  Specifies the number of inference requests that are allowed in the queue. After the number of requests exceeds this value, new requests are rejected with a 429 error.

• threads_per_allocation number

  Sets the number of threads used by each model allocation during inference. This generally increases the inference speed. The inference process is a compute-bound process; any number greater than the number of available hardware threads on the machine does not increase the inference speed. If this setting is greater than the number of hardware threads it will automatically be changed to a value less than the number of hardware threads.

• timeout string

  Specifies the amount of time to wait for the model to deploy.

• wait_for string

  Specifies the allocation status to wait for before returning.

  Values are started, starting, or fully_allocated.

Responses

• 200 application/json
  Hide response attribute Show response attribute object

  • assignment object Required

    Additional properties are allowed.

    Hide assignment attributes Show assignment attributes object

    • assignment_state string Required

      Values are started, starting, stopping, or failed.

    • max_assigned_allocations number
    • routing_table object Required

      The allocation state for each node.

      Hide routing_table attribute Show routing_table attribute object

      • * object

        Additional properties are allowed.

        Hide * attributes Show * attributes object

        • reason string Required

          The reason for the current state. It is usually populated only when the routing_state is failed.

        • routing_state string Required

          Values are failed, started, starting, stopped, or stopping.

        • current_allocations number Required

          Current number of allocations.

        • target_allocations number Required

          Target number of allocations.

    • start_time string | number Required

      A date and time, either as a string whose format can depend on the context (defaulting to ISO 8601), or a number of milliseconds since the Epoch. Elasticsearch accepts both as input, but will generally output a string representation.

      One of:

      _types:DateTime string _types:UnitMillis number

      Time unit for milliseconds

    • task_parameters object Required

      Additional properties are allowed.

      Hide task_parameters attributes Show task_parameters attributes object

      • model_bytes number Required

        The size of the trained model in bytes.

      • model_id string Required
      • deployment_id string Required

      • cache_size number | string Required

        One of:

        _types:ByteSize number _types:ByteSize string
      • number_of_allocations number Required

        The total number of allocations this model is assigned across ML nodes.

      • priority string Required

        Values are normal or low.

      • queue_capacity number Required

        Number of inference requests are allowed in the queue at a time.

      • threads_per_allocation number Required

        Number of threads per allocation.