AWS::CleanRoomsML::TrainingDataset
Defines 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.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::CleanRoomsML::TrainingDataset", "Properties" : { "Description" :
String
, "Name" :String
, "RoleArn" :String
, "Tags" :[ Tag, ... ]
, "TrainingData" :[ Dataset, ... ]
} }
YAML
Type: AWS::CleanRoomsML::TrainingDataset Properties: Description:
String
Name:String
RoleArn:String
Tags:- Tag
TrainingData:- Dataset
Properties
Description
-
The description of the training dataset.
Required: No
Type: String
Pattern:
^[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDBFF-\uDC00\uDFFF\t\r\n]*$
Maximum:
255
Update requires: Replacement
Name
-
The name of the training dataset.
Required: Yes
Type: String
Pattern:
^(?!\s*$)[\u0020-\uD7FF\uE000-\uFFFD\uD800\uDBFF-\uDC00\uDFFF\t]*$
Minimum:
1
Maximum:
63
Update requires: Replacement
RoleArn
-
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 accounts is not allowed. If you pass a role that isn't in your account, you get an
AccessDeniedException
error.Required: Yes
Type: String
Pattern:
^arn:aws[-a-z]*:iam::[0-9]{12}:role/.+$
Minimum:
20
Maximum:
2048
Update requires: Replacement
-
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: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for keys as it is reserved. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value hasaws
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 ofaws
do not count against your tags per resource limit.
Required: No
Type: Array of Tag
Update requires: No interruption
-
TrainingData
-
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.
Required: Yes
Type: Array of Dataset
Minimum:
1
Maximum:
1
Update requires: Replacement
Return values
Ref
When you pass the logical ID of this resource to the intrinsic Ref
function, Ref
returns the resource ARN. For example:
{ "Ref": "myTrainingDataset" }
For the Clean Rooms ML training dataset, Ref
returns the ARN of the training dataset.
Example: arn:aws:cleanrooms-ml:ap-northeast-1:891377082322:training-dataset/fR8doOMxlv5q5HD5qB0f68
For more information about using the Ref
function, see Ref
.
Fn::GetAtt
The Fn::GetAtt
intrinsic function returns a value for a specified attribute of this type. The following are the available attributes and sample return values.
For more information about using the Fn::GetAtt
intrinsic function, see Fn::GetAtt
.
Status
-
The status of the training dataset.
TrainingDatasetArn
-
The Amazon Resource Name (ARN) of the training dataset.