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aws_personalize_batch_inference_job

account_id

Type: STRING

batch_inference_job_arn

Type: STRING
Provider name: batchInferenceJobArn
Description: The Amazon Resource Name (ARN) of the batch inference job.

batch_inference_job_config

Type: STRUCT
Provider name: batchInferenceJobConfig
Description: A string to string map of the configuration details of a batch inference job.

  • item_exploration_config
    Type: MAP_STRING_STRING
    Provider name: itemExplorationConfig
    Description: 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.

batch_inference_job_mode

Type: STRING
Provider name: batchInferenceJobMode
Description: The job’s mode.

creation_date_time

Type: TIMESTAMP
Provider name: creationDateTime
Description: The time at which the batch inference job was created.

failure_reason

Type: STRING
Provider name: failureReason
Description: If the batch inference job failed, the reason for the failure.

filter_arn

Type: STRING
Provider name: filterArn
Description: The ARN of the filter used on the batch inference job.

job_input

Type: STRUCT
Provider name: jobInput
Description: The Amazon S3 path that leads to the input data used to generate the batch inference job.

  • s3_data_source
    Type: STRUCT
    Provider name: s3DataSource
    Description: 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.
    • kms_key_arn
      Type: STRING
      Provider name: kmsKeyArn
      Description: 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.
    • path
      Type: STRING
      Provider name: path
      Description: The file path of the Amazon S3 bucket.

job_name

Type: STRING
Provider name: jobName
Description: The name of the batch inference job.

job_output

Type: STRUCT
Provider name: jobOutput
Description: The Amazon S3 bucket that contains the output data generated by the batch inference job.

  • s3_data_destination
    Type: STRUCT
    Provider name: s3DataDestination
    Description: Information on the Amazon S3 bucket in which the batch inference job’s output is stored.
    • kms_key_arn
      Type: STRING
      Provider name: kmsKeyArn
      Description: 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.
    • path
      Type: STRING
      Provider name: path
      Description: The file path of the Amazon S3 bucket.

last_updated_date_time

Type: TIMESTAMP
Provider name: lastUpdatedDateTime
Description: The time at which the batch inference job was last updated.

num_results

Type: INT32
Provider name: numResults
Description: The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.

role_arn

Type: STRING
Provider name: roleArn
Description: The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.

solution_version_arn

Type: STRING
Provider name: solutionVersionArn
Description: The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.

status

Type: STRING
Provider name: status
Description: The status of the batch inference job. The status is one of the following values:

  • PENDING
  • IN PROGRESS
  • ACTIVE
  • CREATE FAILED

tags

Type: UNORDERED_LIST_STRING

theme_generation_config

Type: STRUCT
Provider name: themeGenerationConfig
Description: The job’s theme generation settings.

  • fields_for_theme_generation
    Type: STRUCT
    Provider name: fieldsForThemeGeneration
    Description: Fields used to generate descriptive themes for a batch inference job.
    • item_name
      Type: STRING
      Provider name: itemName
      Description: The name of the Items dataset column that stores the name of each item in the dataset.