[ aws . lookoutvision ]
Describes a version of an Amazon Lookout for Vision model.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
describe-model
--project-name <value>
--model-version <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--project-name
(string)
The project that contains the version of a model that you want to describe.
--model-version
(string)
The version of the model that you want to describe.
--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.
ModelDescription -> (structure)
Contains the description of the model.
ModelVersion -> (string)
The version of the model
ModelArn -> (string)
The Amazon Resource Name (ARN) of the model.
CreationTimestamp -> (timestamp)
The unix timestamp for the date and time that the model was created.
Description -> (string)
The description for the model.
Status -> (string)
The status of the model.
StatusMessage -> (string)
The status message for the model.
Performance -> (structure)
Performance metrics for the model. Created during training.
F1Score -> (float)
The overall F1 score metric for the trained model.
Recall -> (float)
The overall recall metric value for the trained model.
Precision -> (float)
The overall precision metric value for the trained model.
OutputConfig -> (structure)
The S3 location where Amazon Lookout for Vision saves model training files.
S3Location -> (structure)
The S3 location for the output.
Bucket -> (string)
The S3 bucket that contain the manifest file.
Prefix -> (string)
The path and name of the manifest file with the S3 bucket.
EvaluationManifest -> (structure)
The S3 location where Amazon Lookout for Vision saves the manifest file that was used to test the trained model and generate the performance scores.
Bucket -> (string)
The bucket that contains the training output.
Key -> (string)
The location of the training output in the bucket.
EvaluationResult -> (structure)
The S3 location where Amazon Lookout for Vision saves the performance metrics.
Bucket -> (string)
The bucket that contains the training output.
Key -> (string)
The location of the training output in the bucket.
EvaluationEndTimestamp -> (timestamp)
The unix timestamp for the date and time that the evaluation ended.
KmsKeyId -> (string)
The identifer for the AWS Key Management Service (AWS KMS) key that was used to encrypt the model during training.