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Copy file name to clipboardExpand all lines: src/sagemaker/automl/README.rst
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@@ -45,7 +45,7 @@ job. By calling this method, you can view and compare the candidates.
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#. Deploy the best candidate (or any given candidate): ``deploy()`` by default will deploy the best candidate to an
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inference pipeline. But you can also specify a candidate to deploy through ``candidate`` parameter.
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For more information about ``AutoML`` parameters, please refer to: https://sagemaker.readthedocs.io/en/stable/sagemaker.automl.html
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For more information about ``AutoML`` parameters, please refer to: https://sagemaker.readthedocs.io/en/stable/automl.html
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SageMaker CandidateEstimator Class
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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If you want to have more control over the step jobs of the candidate, you can call ``get_steps()`` and construct
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training/tuning jobs by yourself.
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For more information about ``CandidateEstimator`` parameters, please refer to: https://sagemaker.readthedocs.io/en/stable/sagemaker.candidate_estimator.html
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For more information about ``CandidateEstimator`` parameters, please refer to: https://sagemaker.readthedocs.io/en/stable/automl.html#sagemaker.automl.candidate_estimator.CandidateEstimator
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