AutoMLS3DataSource - Amazon SageMaker
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Describes the Amazon S3 data source.



The data type.

  • If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.

    The S3Prefix should have the following format:


  • If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.

    A ManifestFile should have the format shown below:





  • If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile is available for V2 API jobs only (for example, for jobs created by calling CreateAutoMLJobV2).

    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.

Type: String

Valid Values: ManifestFile | S3Prefix | AugmentedManifestFile

Required: Yes


The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on the data type.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: ^(https|s3)://([^/]+)/?(.*)$

Required: Yes

See Also

For more information about using this API in one of the language-specific Amazon SDKs, see the following: