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docs/source/user_guide/jobs/components/overview.rst

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@@ -20,7 +20,7 @@ You can also sequence jobs and keep the state by writing state information to
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`Object Storage <https://docs.oracle.com/en-us/iaas/Content/Object/Concepts/objectstorageoverview.htm>`_
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For example, you may want to experiment with how different model classes perform on the same training data
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by using the ADSTuner to perform hyperparameter tuning on each model class.
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by using the [ADSTuner](https://accelerated-data-science.readthedocs.io/en/latest/user_guide/model_training/ads_tuner.html) to perform hyperparameter tuning on each model class.
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You could do this in parallel by having a different job run for each class of models.
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For a given job run, you could pass an environment variable that identifies the model class that you want to use.
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Each model can write its results to the Logging service or Object Storage.

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