Uses of Class
software.amazon.awssdk.services.lookoutequipment.model.DescribeRetrainingSchedulerResponse

Packages that use DescribeRetrainingSchedulerResponse

Package	Description
software.amazon.awssdk.services.lookoutequipment	Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in machines from sensor data for use in predictive maintenance.

Uses of DescribeRetrainingSchedulerResponse in software.amazon.awssdk.services.lookoutequipment

Methods in software.amazon.awssdk.services.lookoutequipment that return DescribeRetrainingSchedulerResponse

Modifier and Type	Method and Description
default DescribeRetrainingSchedulerResponse	LookoutEquipmentClient.describeRetrainingScheduler(Consumer<DescribeRetrainingSchedulerRequest.Builder> describeRetrainingSchedulerRequest) Provides a description of the retraining scheduler, including information such as the model name and retraining parameters.
default DescribeRetrainingSchedulerResponse	LookoutEquipmentClient.describeRetrainingScheduler(DescribeRetrainingSchedulerRequest describeRetrainingSchedulerRequest) Provides a description of the retraining scheduler, including information such as the model name and retraining parameters.

Methods in software.amazon.awssdk.services.lookoutequipment that return types with arguments of type DescribeRetrainingSchedulerResponse

Modifier and Type	Method and Description
default CompletableFuture<DescribeRetrainingSchedulerResponse>	LookoutEquipmentAsyncClient.describeRetrainingScheduler(Consumer<DescribeRetrainingSchedulerRequest.Builder> describeRetrainingSchedulerRequest) Provides a description of the retraining scheduler, including information such as the model name and retraining parameters.
default CompletableFuture<DescribeRetrainingSchedulerResponse>	LookoutEquipmentAsyncClient.describeRetrainingScheduler(DescribeRetrainingSchedulerRequest describeRetrainingSchedulerRequest) Provides a description of the retraining scheduler, including information such as the model name and retraining parameters.