list_flywheel_iteration_history
(**kwargs)¶Information about the history 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.list_flywheel_iteration_history(
FlywheelArn='string',
Filter={
'CreationTimeAfter': datetime(2015, 1, 1),
'CreationTimeBefore': datetime(2015, 1, 1)
},
NextToken='string',
MaxResults=123
)
[REQUIRED]
The ARN of the flywheel.
Filter the flywheel iteration history based on creation time.
Filter the flywheel iterations to include iterations created after the specified time.
Filter the flywheel iterations to include iterations created before the specified time.
dict
Response Syntax
{
'FlywheelIterationPropertiesList': [
{
'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'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
FlywheelIterationPropertiesList (list) --
List of flywheel iteration properties
(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) --
NextToken (string) --
Next token
Exceptions
Comprehend.Client.exceptions.InvalidRequestException
Comprehend.Client.exceptions.TooManyRequestsException
Comprehend.Client.exceptions.InvalidFilterException
Comprehend.Client.exceptions.ResourceNotFoundException
Comprehend.Client.exceptions.InternalServerException