[ aws . personalize ]
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 recommendations-batch .
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
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>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--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 Using Filters with Amazon Personalize.
--num-results
(integer)
The number of recommendations to retreive.
--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 Amazon Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files of a batch inference job.
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 Amazon Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files of a batch inference job.
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 out 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
andexplorationItemAgeCutOff
, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See native-recipe-new-item-USER_PERSONALIZATION .key -> (string)
value -> (string)
Shorthand Syntax:
itemExplorationConfig={KeyName1=string,KeyName2=string}
JSON Syntax:
{
"itemExplorationConfig": {"string": "string"
...}
}
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those 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. This may not be specified along with --cli-input-yaml
.
--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
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
See ‘aws help’ for descriptions of global parameters.