Table Of Contents

Feedback

User Guide

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

[ aws . machinelearning ]

describe-tags

Description

Describes one or more of the tags for your Amazon ML object.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  describe-tags
--resource-id <value>
--resource-type <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--resource-id (string)

The ID of the ML object. For example, exampleModelId .

--resource-type (string)

The type of the ML object.

Possible values:

  • BatchPrediction
  • DataSource
  • Evaluation
  • MLModel

--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

ResourceId -> (string)

The ID of the tagged ML object.

ResourceType -> (string)

The type of the tagged ML object.

Tags -> (list)

A list of tags associated with the ML object.

(structure)

A custom key-value pair associated with an ML object, such as an ML model.

Key -> (string)

A unique identifier for the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.

Value -> (string)

An optional string, typically used to describe or define the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.