Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset
Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset. To allow Amazon Personalize to import the training data, you must specify an AWS Identity and Access Management (IAM) role that has permission to read from the data source, as Amazon Personalize makes a copy of your data and processes it in an internal AWS system.
The dataset import job replaces any previous data in the dataset.
Status
A dataset import job can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
To get the status of the import job, call
describe_dataset_import_job,
providing the Amazon Resource Name (ARN) of the dataset import job. The
dataset import is complete when the status shows as ACTIVE. If the
status shows as CREATE FAILED, the response includes a failureReason
key, which describes why the job failed.
Importing takes time. You must wait until the status shows as ACTIVE before training a model using the dataset.
Related APIs
personalize_create_dataset_import_job(jobName, datasetArn, dataSource, roleArn)
jobName |
[required] The name for the dataset import job. |
datasetArn |
[required] The ARN of the dataset that receives the imported data. |
dataSource |
[required] The Amazon S3 bucket that contains the training data to import. |
roleArn |
[required] The ARN of the IAM role that has permissions to read from the Amazon S3 data source. |
A list with the following syntax:
list( datasetImportJobArn = "string" )
svc$create_dataset_import_job(
jobName = "string",
datasetArn = "string",
dataSource = list(
dataLocation = "string"
),
roleArn = "string"
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