CreateRetrainingSchedulerRequest
¶
Source code in docs_src/capo_lookoutequipment/types/create_retraining_scheduler_request.py
client_token
instance-attribute
¶
client_token: IdempotenceToken
A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
lookback_window
instance-attribute
¶
lookback_window: LookbackWindow
The number of past days of data that will be used for retraining.
model_name
instance-attribute
¶
model_name: ModelName
The name of the model to add the retraining scheduler to.
promote_mode
instance-attribute
¶
promote_mode: NotRequired[ModelPromoteMode]
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.
retraining_frequency
instance-attribute
¶
retraining_frequency: 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