Rekognition / Waiter / ProjectVersionTrainingCompleted

ProjectVersionTrainingCompleted

class Rekognition.Waiter.ProjectVersionTrainingCompleted

waiter = client.get_waiter('project_version_training_completed')

wait(**kwargs)

Polls Rekognition.Client.describe_project_versions() every 120 seconds until a successful state is reached. An error is raised after 360 failed checks.

See also: AWS API Documentation

Request Syntax

waiter.wait(
    ProjectArn='string',
    VersionNames=[
        'string',
    ],
    NextToken='string',
    MaxResults=123,
    WaiterConfig={
        'Delay': 123,
        'MaxAttempts': 123
    }
)

Parameters:

• ProjectArn (string) –

  [REQUIRED]

  The Amazon Resource Name (ARN) of the project that contains the model/adapter you want to describe.

• VersionNames (list) –

  A list of model or project version names that you want to describe. You can add up to 10 model or project version names to the list. If you don’t specify a value, all project version descriptions are returned. A version name is part of a project version ARN. For example, my-model.2020-01-21T09.10.15 is the version name in the following ARN. arn:aws:rekognition:us-east-1:123456789012:project/getting-started/version/my-model.2020-01-21T09.10.15/1234567890123.

  • (string) –

• NextToken (string) – If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.

• MaxResults (integer) – The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.

• WaiterConfig (dict) –

  A dictionary that provides parameters to control waiting behavior.

  • Delay (integer) –

    The amount of time in seconds to wait between attempts. Default: 120

  • MaxAttempts (integer) –

    The maximum number of attempts to be made. Default: 360

Returns:

None