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.
Related APIs
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
-
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 specifyUPDATE
, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set toFULL
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 theFULL
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: