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aws_lookoutequipment_model_version

`account_id`

Type: STRING

`auto_promotion_result`

Type: STRING
Provider name: AutoPromotionResult
Description: Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.

`auto_promotion_result_reason`

Type: STRING
Provider name: AutoPromotionResultReason
Description: Indicates the reason for the AutoPromotionResult. For example, a model might not be promoted if its performance was worse than the active version, if there was an error during training, or if the retraining scheduler was using MANUAL promote mode. The model will be promoted in MANAGED promote mode if the performance is better than the previous model.

`created_at`

Type: TIMESTAMP
Provider name: CreatedAt
Description: Indicates the time and date at which the machine learning model version was created.

`data_pre_processing_configuration`

Type: STRUCT
Provider name: DataPreProcessingConfiguration

target_sampling_rate
Type: STRING
Provider name: TargetSamplingRate
Description: 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

`dataset_arn`

Type: STRING
Provider name: DatasetArn
Description: The Amazon Resource Name (ARN) of the dataset used to train the model version.

`dataset_name`

Type: STRING
Provider name: DatasetName
Description: The name of the dataset used to train the model version.

`evaluation_data_end_time`

Type: TIMESTAMP
Provider name: EvaluationDataEndTime
Description: The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version finished being gathered.

`evaluation_data_start_time`

Type: TIMESTAMP
Provider name: EvaluationDataStartTime
Description: The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version began being gathered.

`failed_reason`

Type: STRING
Provider name: FailedReason
Description: The failure message if the training of the model version failed.

`import_job_end_time`

Type: TIMESTAMP
Provider name: ImportJobEndTime
Description: The date and time when the import job completed. This field appears if the model version was imported.

`import_job_start_time`

Type: TIMESTAMP
Provider name: ImportJobStartTime
Description: The date and time when the import job began. This field appears if the model version was imported.

`imported_data_size_in_bytes`

Type: INT64
Provider name: ImportedDataSizeInBytes
Description: The size in bytes of the imported data. This field appears if the model version was imported.

`labels_input_configuration`

Type: STRUCT
Provider name: LabelsInputConfiguration

label_group_name
Type: STRING
Provider name: LabelGroupName
Description: The name of the label group to be used for label data.
s3_input_configuration
Type: STRUCT
Provider name: S3InputConfiguration
Description: Contains location information for the S3 location being used for label data.
- bucket
  Type: STRING
  Provider name: Bucket
  Description: The name of the S3 bucket holding the label data.
- prefix
  Type: STRING
  Provider name: Prefix
  Description: The prefix for the S3 bucket used for the label data.

`last_updated_time`

Type: TIMESTAMP
Provider name: LastUpdatedTime
Description: Indicates the last time the machine learning model version was updated.

`model_arn`

Type: STRING
Provider name: ModelArn
Description: The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.

`model_diagnostics_output_configuration`

Type: STRUCT
Provider name: ModelDiagnosticsOutputConfiguration
Description: The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.

kms_key_id
Type: STRING
Provider name: KmsKeyId
Description: The Amazon Web Services Key Management Service (KMS) key identifier to encrypt the pointwise model diagnostics files.
s3_output_configuration
Type: STRUCT
Provider name: S3OutputConfiguration
Description: The Amazon S3 location for the pointwise model diagnostics.
- bucket
  Type: STRING
  Provider name: Bucket
  Description: The name of the Amazon S3 bucket where the pointwise model diagnostics are located. You must be the owner of the Amazon S3 bucket.
- prefix
  Type: STRING
  Provider name: Prefix
  Description: The Amazon S3 prefix for the location of the pointwise model diagnostics. The prefix specifies the folder and evaluation result file name. (bucket). When you call CreateModel or UpdateModel, specify the path within the bucket that you want Lookout for Equipment to save the model to. During training, Lookout for Equipment creates the model evaluation model as a compressed JSON file with the name model_diagnostics_results.json.gz. When you call DescribeModel or DescribeModelVersion, prefix contains the file path and filename of the model evaluation file.

`model_diagnostics_results_object`

Type: STRUCT
Provider name: ModelDiagnosticsResultsObject
Description: The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.

bucket
Type: STRING
Provider name: Bucket
Description: The name of the specific S3 bucket.
key
Type: STRING
Provider name: Key
Description: The Amazon Web Services Key Management Service (KMS key) key being used to encrypt the S3 object. Without this key, data in the bucket is not accessible.

`model_metrics`

Type: STRING
Provider name: ModelMetrics
Description: Shows an aggregated summary, in JSON format, of the model’s performance within the evaluation time range. These metrics are created when evaluating the model.

`model_name`

Type: STRING
Provider name: ModelName
Description: The name of the machine learning model that this version belongs to.

`model_quality`

Type: STRING
Provider name: ModelQuality
Description: Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET. If the model is unlabeled, the model quality can’t be assessed and the value of ModelQuality is CANNOT_DETERMINE_QUALITY. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model. For information about using labels with your models, see Understanding labeling. For information about improving the quality of a model, see Best practices with Amazon Lookout for Equipment.

`model_version`

Type: INT64
Provider name: ModelVersion
Description: The version of the machine learning model.

`model_version_arn`

Type: STRING
Provider name: ModelVersionArn
Description: The Amazon Resource Name (ARN) of the model version.

`off_condition`

Type: STRING
Provider name: OffCondition
Description: 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.

`prior_model_metrics`

Type: STRING
Provider name: PriorModelMetrics
Description: If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range. You can use the information in this JSON-formatted object to compare the new model version and the prior model version.

`retraining_available_data_in_days`

Type: INT32
Provider name: RetrainingAvailableDataInDays
Description: Indicates the number of days of data used in the most recent scheduled retraining run.

`role_arn`

Type: STRING
Provider name: RoleArn
Description: The Amazon Resource Name (ARN) of the role that was used to train the model version.

`schema`

Type: STRING
Provider name: Schema
Description: The schema of the data used to train the model version.

`server_side_kms_key_id`

Type: STRING
Provider name: ServerSideKmsKeyId
Description: The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.

`source_model_version_arn`

Type: STRING
Provider name: SourceModelVersionArn
Description: If model version was imported, then this field is the arn of the source model version.

`source_type`

Type: STRING
Provider name: SourceType
Description: Indicates whether this model version was created by training or by importing.

`status`

Type: STRING
Provider name: Status
Description: The current status of the model version.

`tags`

Type: UNORDERED_LIST_STRING

`training_data_end_time`

Type: TIMESTAMP
Provider name: TrainingDataEndTime
Description: The date on which the training data finished being gathered. If you imported the version, this is the date that the training data in the source version finished being gathered.

`training_data_start_time`

Type: TIMESTAMP
Provider name: TrainingDataStartTime
Description: The date on which the training data began being gathered. If you imported the version, this is the date that the training data in the source version began being gathered.

`training_execution_end_time`

Type: TIMESTAMP
Provider name: TrainingExecutionEndTime
Description: The time when the training of the version completed.

`training_execution_start_time`

Type: TIMESTAMP
Provider name: TrainingExecutionStartTime
Description: The time when the training of the version began.