public static interface CreateRetrainingSchedulerRequest.Builder extends LookoutEquipmentRequest.Builder, SdkPojo, CopyableBuilder<CreateRetrainingSchedulerRequest.Builder,CreateRetrainingSchedulerRequest>
| Modifier and Type | Method and Description |
|---|---|
CreateRetrainingSchedulerRequest.Builder |
clientToken(String clientToken)
A unique identifier for the request.
|
CreateRetrainingSchedulerRequest.Builder |
lookbackWindow(String lookbackWindow)
The number of past days of data that will be used for retraining.
|
CreateRetrainingSchedulerRequest.Builder |
modelName(String modelName)
The name of the model to add the retraining scheduler to.
|
CreateRetrainingSchedulerRequest.Builder |
overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration) |
CreateRetrainingSchedulerRequest.Builder |
overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) |
CreateRetrainingSchedulerRequest.Builder |
promoteMode(ModelPromoteMode promoteMode)
Indicates how the service will use new models.
|
CreateRetrainingSchedulerRequest.Builder |
promoteMode(String promoteMode)
Indicates how the service will use new models.
|
CreateRetrainingSchedulerRequest.Builder |
retrainingFrequency(String retrainingFrequency)
This parameter uses the ISO 8601 standard to
set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other
parameters like Time are not currently supported).
|
CreateRetrainingSchedulerRequest.Builder |
retrainingStartDate(Instant retrainingStartDate)
The start date for the retraining scheduler.
|
buildoverrideConfigurationequalsBySdkFields, sdkFieldscopyapplyMutation, buildCreateRetrainingSchedulerRequest.Builder modelName(String modelName)
The name of the model to add the retraining scheduler to.
modelName - The name of the model to add the retraining scheduler to.CreateRetrainingSchedulerRequest.Builder retrainingStartDate(Instant retrainingStartDate)
The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.
retrainingStartDate - The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to
the nearest UTC day.CreateRetrainingSchedulerRequest.Builder retrainingFrequency(String retrainingFrequency)
This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:
P3M15D – Every 3 months and 15 days
P2M – Every 2 months
P150D – Every 150 days
retrainingFrequency - This parameter uses the ISO 8601
standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or
Days (note: other parameters like Time are not currently supported). The minimum value is 30 days
(P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:
P3M15D – Every 3 months and 15 days
P2M – Every 2 months
P150D – Every 150 days
CreateRetrainingSchedulerRequest.Builder lookbackWindow(String lookbackWindow)
The number of past days of data that will be used for retraining.
lookbackWindow - The number of past days of data that will be used for retraining.CreateRetrainingSchedulerRequest.Builder promoteMode(String promoteMode)
Indicates how the service will use new models. In MANAGED mode, new models will automatically be
used for inference if they have better performance than the current model. In MANUAL mode, the
new models will not be used until they are manually activated.
promoteMode - Indicates how the service will use new models. In MANAGED mode, new models will
automatically be used for inference if they have better performance than the current model. In
MANUAL mode, the new models will not be used until they are manually activated.ModelPromoteMode,
ModelPromoteModeCreateRetrainingSchedulerRequest.Builder promoteMode(ModelPromoteMode promoteMode)
Indicates how the service will use new models. In MANAGED mode, new models will automatically be
used for inference if they have better performance than the current model. In MANUAL mode, the
new models will not be used until they are manually activated.
promoteMode - Indicates how the service will use new models. In MANAGED mode, new models will
automatically be used for inference if they have better performance than the current model. In
MANUAL mode, the new models will not be used until they are manually activated.ModelPromoteMode,
ModelPromoteModeCreateRetrainingSchedulerRequest.Builder clientToken(String clientToken)
A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
clientToken - A unique identifier for the request. If you do not set the client request token, Amazon Lookout for
Equipment generates one.CreateRetrainingSchedulerRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
overrideConfiguration in interface AwsRequest.BuilderCreateRetrainingSchedulerRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
overrideConfiguration in interface AwsRequest.BuilderCopyright © 2023. All rights reserved.