ModelSummary
Provides information about the specified machine learning model, including dataset and model names and ARNs, as well as status.
Types
Properties
The model version that the inference scheduler uses to run an inference execution.
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.
The Amazon Resource Name (ARN) of the dataset used to create the model.
The name of the dataset being used for the machine learning model.
Indicates the most recent model version that was generated by retraining.
Indicates the start time of the most recent scheduled retraining run.
Indicates the status of the most recent scheduled retraining run.
Output configuration information for the pointwise model diagnostics for an Amazon Lookout for Equipment model.
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.
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.
Indicates the status of the retraining scheduler.
Indicates the status of the machine learning model.