ForecastService / Client / describe_monitor
describe_monitor#
- ForecastService.Client.describe_monitor(**kwargs)#
- Describes a monitor resource. In addition to listing the properties provided in the CreateMonitor request, this operation lists the following properties: - Baseline
- CreationTime
- LastEvaluationTime
- LastEvaluationState
- LastModificationTime
- Message
- Status
 - See also: AWS API Documentation - Request Syntax- response = client.describe_monitor( MonitorArn='string' ) - Parameters:
- MonitorArn (string) – - [REQUIRED] - The Amazon Resource Name (ARN) of the monitor resource to describe. 
- Return type:
- dict 
- Returns:
- Response Syntax- { 'MonitorName': 'string', 'MonitorArn': 'string', 'ResourceArn': 'string', 'Status': 'string', 'LastEvaluationTime': datetime(2015, 1, 1), 'LastEvaluationState': 'string', 'Baseline': { 'PredictorBaseline': { 'BaselineMetrics': [ { 'Name': 'string', 'Value': 123.0 }, ] } }, 'Message': 'string', 'CreationTime': datetime(2015, 1, 1), 'LastModificationTime': datetime(2015, 1, 1), 'EstimatedEvaluationTimeRemainingInMinutes': 123 } - Response Structure- (dict) – - MonitorName (string) – - The name of the monitor. 
- MonitorArn (string) – - The Amazon Resource Name (ARN) of the monitor resource described. 
- ResourceArn (string) – - The Amazon Resource Name (ARN) of the auto predictor being monitored. 
- Status (string) – - The status of the monitor resource. 
- LastEvaluationTime (datetime) – - The timestamp of the latest evaluation completed by the monitor. 
- LastEvaluationState (string) – - The state of the monitor’s latest evaluation. 
- Baseline (dict) – - Metrics you can use as a baseline for comparison purposes. Use these values you interpret monitoring results for an auto predictor. - PredictorBaseline (dict) – - The initial accuracy metrics for the predictor you are monitoring. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change. - BaselineMetrics (list) – - The initial accuracy metrics for the predictor. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change. - (dict) – - An individual metric that you can use for comparison as you evaluate your monitoring results. - Name (string) – - The name of the metric. 
- Value (float) – - The value for the metric. 
 
 
 
 
- Message (string) – - An error message, if any, for the monitor. 
- CreationTime (datetime) – - The timestamp for when the monitor resource was created. 
- LastModificationTime (datetime) – - The timestamp of the latest modification to the monitor. 
- EstimatedEvaluationTimeRemainingInMinutes (integer) – - The estimated number of minutes remaining before the monitor resource finishes its current evaluation. 
 
 
 - Exceptions- ForecastService.Client.exceptions.InvalidInputException
- ForecastService.Client.exceptions.ResourceNotFoundException