CreateTrainingDatasetRequest
¶
Source code in docs_src/capo_cleanroomsml/types/create_training_dataset_request.py
description
instance-attribute
¶
description: NotRequired[ResourceDescription]
The description of the training dataset.
name
instance-attribute
¶
name: NameString
The name of the training dataset. This name must be unique in your account and region.
role_arn
instance-attribute
¶
role_arn: IamRoleArn
The 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 AWS accounts is not allowed. If you pass a role that isn't in your account, you get an AccessDeniedException error.
tags
instance-attribute
¶
tags: NotRequired[TagMap]
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.
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Maximum key length - 128 Unicode characters in UTF-8.
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Maximum value length - 256 Unicode characters in UTF-8.
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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: + - = . _ : / @.
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Tag keys and values are case sensitive.
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Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
training_data
instance-attribute
¶
training_data: DatasetList
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.