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[ aws . personalize ]

create-batch-inference-job¶

Description¶

Generates batch recommendations based on a list of items or users stored in Amazon S3 and exports the recommendations to an Amazon S3 bucket.

To generate batch recommendations, specify the ARN of a solution version and an Amazon S3 URI for the input and output data. For user personalization, popular items, and personalized ranking solutions, the batch inference job generates a list of recommended items for each user ID in the input file. For related items solutions, the job generates a list of recommended items for each item ID in the input file.

For more information, see Creating a batch inference job .

If you use the Similar-Items recipe, Amazon Personalize can add descriptive themes to batch recommendations. To generate themes, set the job's mode to THEME_GENERATION and specify the name of the field that contains item names in the input data.

For more information about generating themes, see Batch recommendations with themes from Content Generator .

You can't get batch recommendations with the Trending-Now or Next-Best-Action recipes.

Synopsis¶

  create-batch-inference-job
--job-name <value>
--solution-version-arn <value>
[--filter-arn <value>]
[--num-results <value>]
--job-input <value>
--job-output <value>
--role-arn <value>
[--batch-inference-job-config <value>]
[--tags <value>]
[--batch-inference-job-mode <value>]
[--theme-generation-config <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]

Options¶

--job-name (string)

The name of the batch inference job to create.

--solution-version-arn (string)

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

--filter-arn (string)

The ARN of the filter to apply to the batch inference job. For more information on using filters, see Filtering batch recommendations .

--num-results (integer)

The number of recommendations to retrieve.

--job-input (structure)

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

s3DataSource -> (structure)

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)

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.

Shorthand Syntax:

s3DataSource={path=string,kmsKeyArn=string}

JSON Syntax:

{
  "s3DataSource": {
    "path": "string",
    "kmsKeyArn": "string"
  }
}

--job-output (structure)

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

s3DataDestination -> (structure)

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

path -> (string)

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.

Shorthand Syntax:

s3DataDestination={path=string,kmsKeyArn=string}

JSON Syntax:

{
  "s3DataDestination": {
    "path": "string",
    "kmsKeyArn": "string"
  }
}

--role-arn (string)

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.

--batch-inference-job-config (structure)

The configuration details of a batch inference job.

itemExplorationConfig -> (map)

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 .

key -> (string)

value -> (string)

Shorthand Syntax:

itemExplorationConfig={KeyName1=string,KeyName2=string}

JSON Syntax:

{
  "itemExplorationConfig": {"string": "string"
    ...}
}

--tags (list)

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

(structure)

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 Amazon Personalize recources .

tagKey -> (string)

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)

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

Shorthand Syntax:

tagKey=string,tagValue=string ...

JSON Syntax:

[
  {
    "tagKey": "string",
    "tagValue": "string"
  }
  ...
]

--batch-inference-job-mode (string)

The mode of the batch inference job. To generate descriptive themes for groups of similar items, set the job mode to THEME_GENERATION . If you don't want to generate themes, use the default BATCH_INFERENCE .

When you get batch recommendations with themes, you will incur additional costs. For more information, see Amazon Personalize pricing .

Possible values:

BATCH_INFERENCE

THEME_GENERATION

--theme-generation-config (structure)

For theme generation jobs, specify the name of the column in your Items dataset that contains each item's name.

fieldsForThemeGeneration -> (structure)

Fields used to generate descriptive themes for a batch inference job.

itemName -> (string)

The name of the Items dataset column that stores the name of each item in the dataset.

Shorthand Syntax:

fieldsForThemeGeneration={itemName=string}

JSON Syntax:

{
  "fieldsForThemeGeneration": {
    "itemName": "string"
  }
}

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

Global Options¶

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command's default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

json
text
table

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

on
off
auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

Output¶

batchInferenceJobArn -> (string)

The ARN of the batch inference job.

Table Of Contents

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Note:

create-batch-inference-job¶

Description¶

Synopsis¶

Options¶

Global Options¶

Output¶