Sagemaker Studio API to get original s3 dataset path of an AutoMLJob

Question

Is there any API of Sagemaker Studio that can help us get the complete path of the original dataset that was imported from s3 in Canvas for model training, in an autoMLJob?

I have imported a dataset from my own s3 bucket in Canvas and trained a model using that dataset. When the training is triggered, Canvas saves the copy of that original dataset to a new path in s3, trains the model on that dataset and saves the path of that dataset in the autoMLJob of that model in Sagemaker Studio under the tag InputDataConfig. Is there any way that we can get the s3 path of the original dataset too from where we have imported the dataset, through any API of Sagemaker Studio or through the describeAutoMLJob API?

ljunkai · Answer

Hi Aamna,

You can use the describeAutoMLJob API to retrieve the original datasource that you have input for the job. It falls under the tag [InputDataConfig][Datasource][S3Uri].

Here is a [link](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJob.html#API_DescribeAutoMLJob_ResponseSyntax) for your reference to the API's response syntax.

Let me know if it works!

Sagemaker Studio API to get original s3 dataset path of an AutoMLJob

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