personalize_create_solution_version: Trains or retrains an active solution in a Custom dataset...

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

Trains or retrains an active solution in a Custom dataset group

Description

Trains or retrains an active solution in a Custom dataset group. A solution is created using the create_solution operation and must be in the ACTIVE state before calling create_solution_version. A new version of the solution is created every time you call this operation.

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

Usage

personalize_create_solution_version(
  name = NULL,
  solutionArn,
  trainingMode = NULL,
  tags = NULL
)

Arguments

name	The name of the solution version.
solutionArn	[required] The Amazon Resource Name (ARN) of the solution containing the training configuration information.
trainingMode	The scope of training to be performed when creating the solution version. The default is FULL. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group. If you use User-Personalization, you can specify a training mode of UPDATE. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify UPDATE, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to FULL and deploy it in a campaign. For more information about automatic updates, see Automatic updates. The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the legacy HRNN-Coldstart recipe.
tags	A list of tags to apply to the solution version.

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