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feat(client-sagemaker): This release provides support in SageMaker for output files in training jobs to be uploaded without compression and enable customer to deploy uncompressed model from S3 to real-time inference Endpoints. In addition, ml.trn1n.32xlarge is added to supported instance type list in training job.
* <p>Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.</p>
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* <p>Find the best-performing model after you run an AutoML job by calling <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.html">DescribeAutoMLJobV2</a> (recommended) or <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJob.html">DescribeAutoMLJob</a>.</p>
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* <note>
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* <p>We recommend using the new versions <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJobV2.html">CreateAutoMLJobV2</a> and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.html">DescribeAutoMLJobV2</a>, which offer backward compatibility.</p>
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* <p>
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* <code>CreateAutoMLJob</code> only accepts tabular input data. We recommend using
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* <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJobV2.html">CreateAutoMLJobV2</a> for all problem types. <code>CreateAutoMLJobV2</code> can
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* process the same tabular data as its previous version <code>CreateAutoMLJob</code>, as
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* well as non-tabular data for problem types such as image or text classification.</p>
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* <p>Find guidelines about how to migrate <code>CreateAutoMLJob</code> to
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* <code>CreateAutoMLJobV2</code> can manage tabular problem types identical to those of
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* its previous version <code>CreateAutoMLJob</code>, as well as non-tabular problem types
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* such as image or text classification.</p>
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* <p>Find guidelines about how to migrate a <code>CreateAutoMLJob</code> to
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* <code>CreateAutoMLJobV2</code> in <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development-create-experiment-api.html#autopilot-create-experiment-api-migrate-v1-v2">Migrate a CreateAutoMLJob to CreateAutoMLJobV2</a>.</p>
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* </note>
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* <p>You can find the best-performing model after you run an AutoML job by calling <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.html">DescribeAutoMLJobV2</a> (recommended) or <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJob.html">DescribeAutoMLJob</a>.</p>
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* @example
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* Use a bare-bones client and the command you need to make an API call.
* <p>Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.</p>
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* <p>We recommend using <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJobV2.html">CreateAutoMLJobV2</a>
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* for all problem types. <code>CreateAutoMLJobV2</code> can process the same tabular data as
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* its previous version <code>CreateAutoMLJob</code>, as well as non-tabular data for problem
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* types such as image or text classification.</p>
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* <p>Find guidelines about how to migrate <code>CreateAutoMLJob</code> to
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* <code>CreateAutoMLJobV2</code> in <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development-create-experiment-api.html#autopilot-create-experiment-api-migrate-v1-v2">Migrate a CreateAutoMLJob to CreateAutoMLJobV2</a>.</p>
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* <note>
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* <p>
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* <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJobV2.html">CreateAutoMLJobV2</a> and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.html">DescribeAutoMLJobV2</a> are new versions of <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJob.html">CreateAutoMLJob</a>
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* and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJob.html">DescribeAutoMLJob</a> which offer backward compatibility.</p>
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* <p>
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* <code>CreateAutoMLJobV2</code> can manage tabular problem types identical to those of its previous version
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* <code>CreateAutoMLJob</code>, as well as non-tabular problem types such as
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* image or text classification.</p>
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* <p>Find guidelines about how to migrate a <code>CreateAutoMLJob</code> to
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* <code>CreateAutoMLJobV2</code> in <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development-create-experiment-api.html#autopilot-create-experiment-api-migrate-v1-v2">Migrate a CreateAutoMLJob to CreateAutoMLJobV2</a>.</p>
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* </note>
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* <p>For the list of available problem types supported by <code>CreateAutoMLJobV2</code>, see
* <p>Find the best-performing model after you run an AutoML job V2 by calling <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.html">DescribeAutoMLJobV2</a>. Calling <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJob.html">DescribeAutoMLJob</a>
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* on a AutoML job V2 results in an error.</p>
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* <p>You can find the best-performing model after you run an AutoML job V2 by calling <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.html">DescribeAutoMLJobV2</a>.</p>
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* @example
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* Use a bare-bones client and the command you need to make an API call.
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