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AWS::SageMaker::AutoMLJob AutoMLS3DataSource
Describes the Amazon S3 data source.
Syntax
To declare this entity in your Amazon CloudFormation template, use the following syntax:
JSON
{ "S3DataType" :String, "S3Uri" :String}
YAML
S3DataType:StringS3Uri:String
Properties
S3DataType-
The data type.
-
If you choose
S3Prefix,S3Uriidentifies a key name prefix. SageMaker AI uses all objects that match the specified key name prefix for model training.The
S3Prefixshould have the following format:s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE -
If you choose
ManifestFile,S3Uriidentifies an object that is a manifest file containing a list of object keys that you want SageMaker AI to use for model training.A
ManifestFileshould have the format shown below:[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1","DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ] -
If you choose
AugmentedManifestFile,S3Uriidentifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training.AugmentedManifestFileis available for V2 API jobs only (for example, for jobs created by callingCreateAutoMLJobV2).Here is a minimal, single-record example of an
AugmentedManifestFile:{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg","label-metadata": {"class-name": "cat"}For more information on
AugmentedManifestFile, see Provide Dataset Metadata to Training Jobs with an Augmented Manifest File.
Required: Yes
Type: String
Allowed values:
ManifestFile | S3Prefix | AugmentedManifestFileUpdate requires: Replacement
-
S3Uri-
The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on the data type.
Required: Yes
Type: String
Pattern:
^(https|s3)://([^/]+)/?(.*)$Maximum:
1024Update requires: Replacement