Personalize / Client / create_batch_inference_job

create_batch_inference_job

Personalize.Client.create_batch_inference_job(**kwargs)

Creates a batch inference job. The operation can handle up to 50 million records and the input file must be in JSON format. For more information, see Creating a batch inference job.

See also: AWS API Documentation

Request Syntax

response = client.create_batch_inference_job(
    jobName='string',
    solutionVersionArn='string',
    filterArn='string',
    numResults=123,
    jobInput={
        's3DataSource': {
            'path': 'string',
            'kmsKeyArn': 'string'
        }
    },
    jobOutput={
        's3DataDestination': {
            'path': 'string',
            'kmsKeyArn': 'string'
        }
    },
    roleArn='string',
    batchInferenceJobConfig={
        'itemExplorationConfig': {
            'string': 'string'
        }
    },
    tags=[
        {
            'tagKey': 'string',
            'tagValue': 'string'
        },
    ]
)

Parameters:

• jobName (string) –

  [REQUIRED]

  The name of the batch inference job to create.

• solutionVersionArn (string) –

  [REQUIRED]

  The Amazon Resource Name (ARN) of the solution version that will be used to generate the batch inference recommendations.

• filterArn (string) – The ARN of the filter to apply to the batch inference job. For more information on using filters, see Filtering batch recommendations.

• numResults (integer) – The number of recommendations to retrieve.

• jobInput (dict) –

  [REQUIRED]

  The Amazon S3 path that leads to the input file to base your recommendations on. The input material must be in JSON format.

  • s3DataSource (dict) – [REQUIRED]

    The URI of the Amazon S3 location that contains your input data. The Amazon S3 bucket must be in the same region as the API endpoint you are calling.

    • path (string) – [REQUIRED]

      The file path of the Amazon S3 bucket.

    • kmsKeyArn (string) –

      The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files.

• jobOutput (dict) –

  [REQUIRED]

  The path to the Amazon S3 bucket where the job’s output will be stored.

  • s3DataDestination (dict) – [REQUIRED]

    Information on the Amazon S3 bucket in which the batch inference job’s output is stored.

    • path (string) – [REQUIRED]

      The file path of the Amazon S3 bucket.

    • kmsKeyArn (string) –

      The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files.

• roleArn (string) –

  [REQUIRED]

  The ARN of the Amazon Identity and Access Management role that has permissions to read and write to your input and output Amazon S3 buckets respectively.

• batchInferenceJobConfig (dict) –

  The configuration details of a batch inference job.

  • itemExplorationConfig (dict) –

    A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.

    • (string) –

      • (string) –

• tags (list) –

  A list of tags to apply to the batch inference job.

  • (dict) –

    The optional metadata that you apply to resources to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. For more information see Tagging Personalize resources.

    • tagKey (string) – [REQUIRED]

      One part of a key-value pair that makes up a tag. A key is a general label that acts like a category for more specific tag values.

    • tagValue (string) – [REQUIRED]

      The optional part of a key-value pair that makes up a tag. A value acts as a descriptor within a tag category (key).

Return type:

dict

Returns:

Response Syntax

{
    'batchInferenceJobArn': 'string'
}

Response Structure

• (dict) –

  • batchInferenceJobArn (string) –

    The ARN of the batch inference job.

Exceptions

• Personalize.Client.exceptions.InvalidInputException

• Personalize.Client.exceptions.ResourceAlreadyExistsException

• Personalize.Client.exceptions.LimitExceededException

• Personalize.Client.exceptions.ResourceNotFoundException

• Personalize.Client.exceptions.ResourceInUseException

• Personalize.Client.exceptions.TooManyTagsException