Request Syntax Request Parameters Response Syntax Response Elements Errors See Also

CreateSolution

Important

After you create a solution, you can’t change its configuration. By default, all new solutions use automatic training. With automatic training, you incur training costs while your solution is active. You can't stop automatic training for a solution. To avoid unnecessary costs, make sure to delete the solution when you are finished. For information about training costs, see Amazon Personalize pricing.

Creates the configuration for training a model (creating a solution version). This configuration includes the recipe to use for model training and optional training configuration, such as columns to use in training and feature transformation parameters. For more information about configuring a solution, see Creating and configuring a solution.

By default, new solutions use automatic training to create solution versions every 7 days. You can change the training frequency. Automatic solution version creation starts one hour after the solution is ACTIVE. If you manually create a solution version within the hour, the solution skips the first automatic training. For more information, see Configuring automatic training.

To turn off automatic training, set performAutoTraining to false. If you turn off automatic training, you must manually create a solution version by calling the CreateSolutionVersion operation.

After training starts, you can get the solution version's Amazon Resource Name (ARN) with the ListSolutionVersions API operation. To get its status, use the DescribeSolutionVersion.

After training completes you can evaluate model accuracy by calling GetSolutionMetrics. When you are satisfied with the solution version, you deploy it using CreateCampaign. The campaign provides recommendations to a client through the GetRecommendations API.

Note

Amazon Personalize doesn't support configuring the hpoObjective for solution hyperparameter optimization at this time.

Status

A solution can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

To get the status of the solution, call DescribeSolution. If you use manual training, the status must be ACTIVE before you call CreateSolutionVersion.

Related APIs

Request Syntax


{
   "datasetGroupArn": "string",
   "eventType": "string",
   "name": "string",
   "performAutoML": boolean,
   "performAutoTraining": boolean,
   "performHPO": boolean,
   "recipeArn": "string",
   "solutionConfig": { 
      "algorithmHyperParameters": { 
         "string" : "string" 
      },
      "autoMLConfig": { 
         "metricName": "string",
         "recipeList": [ "string" ]
      },
      "autoTrainingConfig": { 
         "schedulingExpression": "string"
      },
      "eventValueThreshold": "string",
      "featureTransformationParameters": { 
         "string" : "string" 
      },
      "hpoConfig": { 
         "algorithmHyperParameterRanges": { 
            "categoricalHyperParameterRanges": [ 
               { 
                  "name": "string",
                  "values": [ "string" ]
               }
            ],
            "continuousHyperParameterRanges": [ 
               { 
                  "maxValue": number,
                  "minValue": number,
                  "name": "string"
               }
            ],
            "integerHyperParameterRanges": [ 
               { 
                  "maxValue": number,
                  "minValue": number,
                  "name": "string"
               }
            ]
         },
         "hpoObjective": { 
            "metricName": "string",
            "metricRegex": "string",
            "type": "string"
         },
         "hpoResourceConfig": { 
            "maxNumberOfTrainingJobs": "string",
            "maxParallelTrainingJobs": "string"
         }
      },
      "optimizationObjective": { 
         "itemAttribute": "string",
         "objectiveSensitivity": "string"
      },
      "trainingDataConfig": { 
         "excludedDatasetColumns": { 
            "string" : [ "string" ]
         }
      }
   },
   "tags": [ 
      { 
         "tagKey": "string",
         "tagValue": "string"
      }
   ]
}

Request Parameters

The request accepts the following data in JSON format.

datasetGroupArn

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

Type: String

Length Constraints: Maximum length of 256.

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

Required: Yes

eventType

When your have multiple event types (using an EVENT_TYPE schema field), this parameter specifies which event type (for example, 'click' or 'like') is used for training the model.

If you do not provide an eventType, Amazon Personalize will use all interactions for training with equal weight regardless of type.

Type: String

Length Constraints: Maximum length of 256.

Required: No

name

The name for the solution.

Type: String

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

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

Required: Yes

performAutoML

Important

We don't recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see Choosing a recipe.

Whether to perform automated machine learning (AutoML). The default is false. For this case, you must specify recipeArn.

When set to true, Amazon Personalize analyzes your training data and selects the optimal USER_PERSONALIZATION recipe and hyperparameters. In this case, you must omit recipeArn. Amazon Personalize determines the optimal recipe by running tests with different values for the hyperparameters. AutoML lengthens the training process as compared to selecting a specific recipe.

Type: Boolean

Required: No

performAutoTraining

Whether the solution uses automatic training to create new solution versions (trained models). The default is True and the solution automatically creates new solution versions every 7 days. You can change the training frequency by specifying a schedulingExpression in the AutoTrainingConfig as part of solution configuration. For more information about automatic training, see Configuring automatic training.

Automatic solution version creation starts one hour after the solution is ACTIVE. If you manually create a solution version within the hour, the solution skips the first automatic training.

After training starts, you can get the solution version's Amazon Resource Name (ARN) with the ListSolutionVersions API operation. To get its status, use the DescribeSolutionVersion.

Type: Boolean

Required: No

performHPO

Whether to perform hyperparameter optimization (HPO) on the specified or selected recipe. The default is false.

When performing AutoML, this parameter is always true and you should not set it to false.

Type: Boolean

Required: No

recipeArn

The Amazon Resource Name (ARN) of the recipe to use for model training. This is required when performAutoML is false. For information about different Amazon Personalize recipes and their ARNs, see Choosing a recipe.

Type: String

Length Constraints: Maximum length of 256.

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

Required: No

solutionConfig

The configuration to use with the solution. When performAutoML is set to true, Amazon Personalize only evaluates the autoMLConfig section of the solution configuration.

Note

Amazon Personalize doesn't support configuring the hpoObjective at this time.

Type: SolutionConfig object

Required: No

tags

A list of tags to apply to the solution.

Type: Array of Tag objects

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

Required: No

Response Syntax


{
   "solutionArn": "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.

solutionArn

The ARN of the solution.

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