CreateSolutionVersion - Amazon Personalize

CreateSolutionVersion

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

Status

A solution version can be in one of the following states:

  • CREATE PENDING

  • CREATE IN_PROGRESS

  • ACTIVE

  • CREATE FAILED

  • CREATE STOPPING

  • CREATE STOPPED

To get the status of the version, call DescribeSolutionVersion. Wait until the status shows as ACTIVE before calling CreateCampaign.

If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the job failed.

Request Syntax

{ "name": "string", "solutionArn": "string", "tags": [ { "tagKey": "string", "tagValue": "string" } ], "trainingMode": "string" }

Request Parameters

The request accepts the following data in JSON format.

name

The name of the solution version.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[a-zA-Z0-9][a-zA-Z0-9\-_]*

Required: No

solutionArn

The Amazon Resource Name (ARN) of the solution containing the training configuration information.

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:([a-z\d-]+):personalize:.*:.*:.+

Required: Yes

tags

A list of tags to apply to the solution version.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 200 items.

Required: No

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.

Type: String

Valid Values: FULL | UPDATE | AUTOTRAIN

Required: No

Response Syntax

{ "solutionVersionArn": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

solutionVersionArn

The ARN of the new solution version.

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:([a-z\d-]+):personalize:.*:.*:.+

Errors

InvalidInputException

Provide a valid value for the field or parameter.

HTTP Status Code: 400

LimitExceededException

The limit on the number of requests per second has been exceeded.

HTTP Status Code: 400

ResourceAlreadyExistsException

The specified resource already exists.

HTTP Status Code: 400

ResourceInUseException

The specified resource is in use.

HTTP Status Code: 400

ResourceNotFoundException

Could not find the specified resource.

HTTP Status Code: 400

TooManyTagsException

You have exceeded the maximum number of tags you can apply to this resource.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: