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.
personalize_create_solution_version(
name = NULL,
solutionArn,
trainingMode = NULL,
tags = NULL
)The name of the solution version.
[required] The Amazon Resource Name (ARN) of the solution containing the training configuration information.
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.
A list of tags to apply to the solution version.