[ aws . machinelearning ]
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.
describe-tags
--resource-id <value>
--resource-type <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--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
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those 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. This may not be specified along with --cli-input-yaml
.
--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
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. 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.
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 @.