/AWS1/CL_LOECREINFERENCESCHR01

CreateInferenceSchedulerResponse

CONSTRUCTOR

IMPORTING

Optional arguments:

iv_inferenceschedulerarn TYPE /AWS1/LOEINFERENCESCHEDULERARN /AWS1/LOEINFERENCESCHEDULERARN

The Amazon Resource Name (ARN) of the inference scheduler being created.

iv_inferenceschedulername TYPE /AWS1/LOEINFERENCESCHDRNAME /AWS1/LOEINFERENCESCHDRNAME

The name of inference scheduler being created.

iv_status TYPE /AWS1/LOEINFERENCESCHDRSTATUS /AWS1/LOEINFERENCESCHDRSTATUS

Indicates the status of the CreateInferenceScheduler operation.

iv_modelquality TYPE /AWS1/LOEMODELQUALITY /AWS1/LOEMODELQUALITY

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.

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Queryable Attributes

InferenceSchedulerArn

The Amazon Resource Name (ARN) of the inference scheduler being created.

Accessible with the following methods

Method	Description
GET_INFERENCESCHEDULERARN()	Getter for INFERENCESCHEDULERARN, with configurable default
ASK_INFERENCESCHEDULERARN()	Getter for INFERENCESCHEDULERARN w/ exceptions if field has
HAS_INFERENCESCHEDULERARN()	Determine if INFERENCESCHEDULERARN has a value

InferenceSchedulerName

The name of inference scheduler being created.

Accessible with the following methods

Method	Description
GET_INFERENCESCHEDULERNAME()	Getter for INFERENCESCHEDULERNAME, with configurable default
ASK_INFERENCESCHEDULERNAME()	Getter for INFERENCESCHEDULERNAME w/ exceptions if field has
HAS_INFERENCESCHEDULERNAME()	Determine if INFERENCESCHEDULERNAME has a value

Status

Indicates the status of the CreateInferenceScheduler operation.

Accessible with the following methods

Method	Description
GET_STATUS()	Getter for STATUS, with configurable default
ASK_STATUS()	Getter for STATUS w/ exceptions if field has no value
HAS_STATUS()	Determine if STATUS has a value

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.

Accessible with the following methods

Method	Description
GET_MODELQUALITY()	Getter for MODELQUALITY, with configurable default
ASK_MODELQUALITY()	Getter for MODELQUALITY w/ exceptions if field has no value
HAS_MODELQUALITY()	Determine if MODELQUALITY has a value