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[ aws . machinelearning ]

update-ml-model

Description

Updates the MLModelName and the score-threshold of an MLModel .

You can use the get-ml-model operation to view the contents of the updated data element.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  update-ml-model
--ml-model-id <value>
[--ml-model-name <value>]
[--score-threshold <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--ml-model-id (string)

The ID assigned to the MLModel during creation.

--ml-model-name (string)

A user-supplied name or description of the MLModel .

--score-threshold (float)

The score-threshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction.

Output values greater than or equal to the score-threshold receive a positive result from the MLModel , such as true . Output values less than the score-threshold receive a negative response from the MLModel , such as false .

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

MLModelId -> (string)

The ID assigned to the MLModel during creation. This value should be identical to the value of the MLModelID in the request.