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 FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one. 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 HRNN-Coldstart recipe.
tags	A list of tags to apply to the solution version.

paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.