class Aws::LookoutEquipment::Types::DescribeModelResponse
@!attribute [rw] model_name
The name of the ML model being described. @return [String]
@!attribute [rw] model_arn
The Amazon Resource Name (ARN) of the ML model being described. @return [String]
@!attribute [rw] dataset_name
The name of the dataset being used by the ML being described. @return [String]
@!attribute [rw] dataset_arn
The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described. @return [String]
@!attribute [rw] schema
A JSON description of the data that is in each time series dataset, including names, column names, and data types. @return [String]
@!attribute [rw] labels_input_configuration
Specifies configuration information about the labels input, including its S3 location. @return [Types::LabelsInputConfiguration]
@!attribute [rw] training_data_start_time
Indicates the time reference in the dataset that was used to begin the subset of training data for the ML model. @return [Time]
@!attribute [rw] training_data_end_time
Indicates the time reference in the dataset that was used to end the subset of training data for the ML model. @return [Time]
@!attribute [rw] evaluation_data_start_time
Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the ML model. @return [Time]
@!attribute [rw] evaluation_data_end_time
Indicates the time reference in the dataset that was used to end the subset of evaluation data for the ML model. @return [Time]
@!attribute [rw] role_arn
The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML model being described. @return [String]
@!attribute [rw] data_pre_processing_configuration
The 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* @return [Types::DataPreProcessingConfiguration]
@!attribute [rw] status
Specifies the current status of the model being described. Status describes the status of the most recent action of the model. @return [String]
@!attribute [rw] training_execution_start_time
Indicates the time at which the training of the ML model began. @return [Time]
@!attribute [rw] training_execution_end_time
Indicates the time at which the training of the ML model was completed. @return [Time]
@!attribute [rw] failed_reason
If the training of the ML model failed, this indicates the reason for that failure. @return [String]
@!attribute [rw] model_metrics
The 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. @return [String]
@!attribute [rw] last_updated_time
Indicates the last time the ML model was updated. The type of update is not specified. @return [Time]
@!attribute [rw] created_at
Indicates the time and date at which the ML model was created. @return [Time]
@!attribute [rw] server_side_kms_key_id
Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment. @return [String]
@!attribute [rw] off_condition
Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference. @return [String]
@see docs.aws.amazon.com/goto/WebAPI/lookoutequipment-2020-12-15/DescribeModelResponse AWS API Documentation
Constants
- SENSITIVE