AWS::CleanRoomsML::TrainingDatasetDefines the information necessary to create a training dataset. In Clean Rooms ML, the `TrainingDataset` is metadata that points to a Glue table, which is read only during `AudienceModel` creation.
import { CfnTrainingDataset } from 'aws-cdk-lib/aws-cleanroomsml';Or use the module namespace:
import * as cleanroomsml from 'aws-cdk-lib/aws-cleanroomsml';
// cleanroomsml.CfnTrainingDatasetConfiguration passed to the constructor as CfnTrainingDatasetProps.
nameRequiredstringThe name of the training dataset.
roleArnRequiredstringThe ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the `dataSource` field of each dataset. Passing a role across accounts is not allowed. If you pass a role that isn't in your account, you get an `AccessDeniedException` error.
trainingDataRequiredIResolvable | IResolvable | DatasetProperty[]An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.
descriptionOptionalstringThe description of the training dataset.
tagsOptionalCfnTag[]The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. The following basic restrictions apply to tags: - Maximum number of tags per resource - 50. - For each resource, each tag key must be unique, and each tag key can have only one value. - Maximum key length - 128 Unicode characters in UTF-8. - Maximum value length - 256 Unicode characters in UTF-8. - If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : /
This L1 construct maps directly to the following CloudFormation resource type.
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