Comprehend.Client.
describe_flywheel_iteration
(**kwargs)¶Retrieve the configuration properties of a flywheel iteration. For more information about flywheels, see Flywheel overview in the Amazon Comprehend Developer Guide .
See also: AWS API Documentation
Request Syntax
response = client.describe_flywheel_iteration(
FlywheelArn='string',
FlywheelIterationId='string'
)
dict
Response Syntax
{
'FlywheelIterationProperties': {
'FlywheelArn': 'string',
'FlywheelIterationId': 'string',
'CreationTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1),
'Status': 'TRAINING'|'EVALUATING'|'COMPLETED'|'FAILED'|'STOP_REQUESTED'|'STOPPED',
'Message': 'string',
'EvaluatedModelArn': 'string',
'EvaluatedModelMetrics': {
'AverageF1Score': 123.0,
'AveragePrecision': 123.0,
'AverageRecall': 123.0,
'AverageAccuracy': 123.0
},
'TrainedModelArn': 'string',
'TrainedModelMetrics': {
'AverageF1Score': 123.0,
'AveragePrecision': 123.0,
'AverageRecall': 123.0,
'AverageAccuracy': 123.0
},
'EvaluationManifestS3Prefix': 'string'
}
}
Response Structure
(dict) --
FlywheelIterationProperties (dict) --
The configuration properties of a flywheel iteration.
FlywheelArn (string) --
FlywheelIterationId (string) --
CreationTime (datetime) --
The creation start time of the flywheel iteration.
EndTime (datetime) --
The completion time of this flywheel iteration.
Status (string) --
The status of the flywheel iteration.
Message (string) --
A description of the status of the flywheel iteration.
EvaluatedModelArn (string) --
The ARN of the evaluated model associated with this flywheel iteration.
EvaluatedModelMetrics (dict) --
The evaluation metrics associated with the evaluated model.
AverageF1Score (float) --
The average F1 score from the evaluation metrics.
AveragePrecision (float) --
Average precision metric for the model.
AverageRecall (float) --
Average recall metric for the model.
AverageAccuracy (float) --
Average accuracy metric for the model.
TrainedModelArn (string) --
The ARN of the trained model associated with this flywheel iteration.
TrainedModelMetrics (dict) --
The metrics associated with the trained model.
AverageF1Score (float) --
The average F1 score from the evaluation metrics.
AveragePrecision (float) --
Average precision metric for the model.
AverageRecall (float) --
Average recall metric for the model.
AverageAccuracy (float) --
Average accuracy metric for the model.
EvaluationManifestS3Prefix (string) --
Exceptions
Comprehend.Client.exceptions.InvalidRequestException
Comprehend.Client.exceptions.TooManyRequestsException
Comprehend.Client.exceptions.ResourceNotFoundException
Comprehend.Client.exceptions.InternalServerException