Creates an empty dataset and adds it to the specified dataset group
Creates an empty dataset and adds it to the specified dataset group. Use
create_dataset_import_job to
import your training data to a dataset.
There are three types of datasets:
Interactions
Items
Users
Each dataset type has an associated schema with required field types.
Only the Interactions dataset is required in order to train a model
(also referred to as creating a solution).
A dataset can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS
To get the status of the dataset, call
describe_dataset.
Related APIs
personalize_create_dataset(name, schemaArn, datasetGroupArn, datasetType)
name |
[required] The name for the dataset. |
schemaArn |
[required] The ARN of the schema to associate with the dataset. The schema defines the dataset fields. |
datasetGroupArn |
[required] The Amazon Resource Name (ARN) of the dataset group to add the dataset to. |
datasetType |
[required] The type of dataset. One of the following (case insensitive) values:
|
A list with the following syntax:
list( datasetArn = "string" )
svc$create_dataset( name = "string", schemaArn = "string", datasetGroupArn = "string", datasetType = "string" )
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