ModelSummary

Provides information about the specified machine learning model, including dataset and model names and ARNs, as well as status.

ActiveModelVersion

The model version that the inference scheduler uses to run an inference execution.

Type: Long

Valid Range: Minimum value of 1.

Required: No

ActiveModelVersionArn

The Amazon Resource Name (ARN) of the model version that is set as active. The active model version is the model version that the inference scheduler uses to run an inference execution.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: ^arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:model\/[0-9a-zA-Z_-]{1,200}\/.+\/model-version\/[0-9]{1,}$

Required: No

CreatedAt

The time at which the specific model was created.

Type: Timestamp

Required: No

DatasetArn

The Amazon Resource Name (ARN) of the dataset used to create the model.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:dataset\/[0-9a-zA-Z_-]{1,200}\/.+

Required: No

DatasetName

The name of the dataset being used for the machine learning model.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 200.

Pattern: ^[0-9a-zA-Z_-]{1,200}$

Required: No

LatestScheduledRetrainingModelVersion

Indicates the most recent model version that was generated by retraining.

Type: Long

Valid Range: Minimum value of 1.

Required: No

LatestScheduledRetrainingStartTime

Indicates the start time of the most recent scheduled retraining run.

Type: Timestamp

Required: No

LatestScheduledRetrainingStatus

Indicates the status of the most recent scheduled retraining run.

Type: String

Valid Values: IN_PROGRESS | SUCCESS | FAILED | IMPORT_IN_PROGRESS | CANCELED

Required: No

ModelArn

The Amazon Resource Name (ARN) of the machine learning model.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:model\/.+

Required: No

ModelDiagnosticsOutputConfiguration

Output configuration information for the pointwise model diagnostics for an Amazon Lookout for Equipment model.

Type: ModelDiagnosticsOutputConfiguration object

Required: No

ModelName

The name of the machine learning model.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 200.

Pattern: ^[0-9a-zA-Z_-]{1,200}$

Required: No

ModelQuality

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.

Type: String

Valid Values: QUALITY_THRESHOLD_MET | CANNOT_DETERMINE_QUALITY | POOR_QUALITY_DETECTED

Required: No

NextScheduledRetrainingStartDate

Indicates the date that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.

Type: Timestamp

Required: No

RetrainingSchedulerStatus

Indicates the status of the retraining scheduler.

Type: String

Valid Values: PENDING | RUNNING | STOPPING | STOPPED

Required: No

Status

Indicates the status of the machine learning model.

Type: String

Valid Values: IN_PROGRESS | SUCCESS | FAILED | IMPORT_IN_PROGRESS

Required: No

ModelSummary

Contents

See Also