Table Of Contents

Feedback

User Guide

First time using the AWS CLI? See the User Guide for help getting started.

Note: You are viewing the documentation for an older major version of the AWS CLI (version 1).

AWS CLI version 2, the latest major version of AWS CLI, is now stable and recommended for general use. To view this page for the AWS CLI version 2, click here. For more information see the AWS CLI version 2 installation instructions and migration guide.

[ aws . machinelearning ]

update-ml-model

Description

Updates the MLModelName and the ScoreThreshold of an MLModel .

You can use the GetMLModel 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 ScoreThreshold 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 ScoreThreshold receive a positive result from the MLModel , such as true . Output values less than the ScoreThreshold 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. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--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.