lookoutequipment_update_retraining_scheduler: Updates a retraining scheduler

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Updates a retraining scheduler

Description

Updates a retraining scheduler.

See https://www.paws-r-sdk.com/docs/lookoutequipment_update_retraining_scheduler/ for full documentation.

Usage

lookoutequipment_update_retraining_scheduler(
  ModelName,
  RetrainingStartDate = NULL,
  RetrainingFrequency = NULL,
  LookbackWindow = NULL,
  PromoteMode = NULL
)

Arguments

ModelName	[required] The name of the model whose retraining scheduler you want to update.
RetrainingStartDate	The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.
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
LookbackWindow	The number of past days of data that will be used for retraining.
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.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.