personalize_create_dataset_export_job: Creates a job that exports data from your dataset to an...
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

personalize_create_dataset_export_job

R Documentation

Creates a job that exports data from your dataset to an Amazon S3 bucket

Description

Creates a job that exports data from your dataset to an Amazon S3 bucket. To allow Amazon Personalize to export the training data, you must specify an service-linked IAM role that gives Amazon Personalize PutObject permissions for your Amazon S3 bucket. For information, see Exporting a dataset in the Amazon Personalize developer guide.

See https://www.paws-r-sdk.com/docs/personalize_create_dataset_export_job/ for full documentation.

Usage

personalize_create_dataset_export_job(
  jobName,
  datasetArn,
  ingestionMode = NULL,
  roleArn,
  jobOutput,
  tags = NULL
)

Arguments

`jobName`	[required] The name for the dataset export job.
`datasetArn`	[required] The Amazon Resource Name (ARN) of the dataset that contains the data to export.
`ingestionMode`	The data to export, based on how you imported the data. You can choose to export only `BULK` data that you imported using a dataset import job, only `PUT` data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or `ALL` for both types. The default value is `PUT`.
`roleArn`	[required] The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.
`jobOutput`	[required] The path to the Amazon S3 bucket where the job's output is stored.
`tags`	A list of tags to apply to the dataset export job.