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NAMEPaws::LookoutEquipment::DescribeModelResponse ATTRIBUTESCreatedAt => StrIndicates the time and date at which the ML model was created. DataPreProcessingConfiguration => Paws::LookoutEquipment::DataPreProcessingConfigurationThe configuration is the "TargetSamplingRate", which is the sampling rate of the data after post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the "TargetSamplingRate" is 1 minute. When providing a value for the "TargetSamplingRate", you must attach the prefix "PT" to the rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H DatasetArn => StrThe Amazon Resouce Name (ARN) of the dataset used to create the ML model being described. DatasetName => StrThe name of the dataset being used by the ML being described. EvaluationDataEndTime => StrIndicates the time reference in the dataset that was used to end the subset of evaluation data for the ML model. EvaluationDataStartTime => StrIndicates the time reference in the dataset that was used to begin the subset of evaluation data for the ML model. FailedReason => StrIf the training of the ML model failed, this indicates the reason for that failure. LabelsInputConfiguration => Paws::LookoutEquipment::LabelsInputConfigurationSpecifies configuration information about the labels input, including its S3 location. LastUpdatedTime => StrIndicates the last time the ML model was updated. The type of update is not specified. ModelArn => StrThe Amazon Resource Name (ARN) of the ML model being described. ModelMetrics => StrThe Model Metrics show an aggregated summary of the model's performance within the evaluation time range. This is the JSON content of the metrics created when evaluating the model. ModelName => StrThe name of the ML model being described. RoleArn => StrThe Amazon Resource Name (ARN) of a role with permission to access the data source for the ML model being described. Schema => StrA JSON description of the data that is in each time series dataset, including names, column names, and data types. ServerSideKmsKeyId => StrProvides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon Lookout for Equipment. Status => StrSpecifies the current status of the model being described. Status describes the status of the most recent action of the model. Valid values are: "IN_PROGRESS", "SUCCESS", "FAILED" =head2 TrainingDataEndTime => Str Indicates the time reference in the dataset that was used to end the subset of training data for the ML model. TrainingDataStartTime => StrIndicates the time reference in the dataset that was used to begin the subset of training data for the ML model. TrainingExecutionEndTime => StrIndicates the time at which the training of the ML model was completed. TrainingExecutionStartTime => StrIndicates the time at which the training of the ML model began. _request_id => Str
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