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Support for automated AE feature selection (DFP) #1816

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Closes part of : #1685: "[FEA]: Automated Feature Selection in DFP and building DataFrame schemas from JSON definition files"

This pull request adds two a utility class to the autoencoder folder to decrease time-to-value in workflows.

AutoencoderFeatureSelector: Given a dataset, this runs a few rudimentary statistical tests and studies on the dataset to recommend which features might be most helpful when training a DFP Autoencoder. This class also builds JSON schema definitions that can be used in the JSONSchemaBuilder.

This pull request also provides accompanying demo notebooks that demonstrate the usage and limitations of the provided utility class.

@dnandakumar-nv dnandakumar-nv requested review from a team as code owners July 19, 2024 13:17
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@mdemoret-nv
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/ok to test

@dagardner-nv dagardner-nv changed the base branch from branch-24.10 to branch-25.02 October 31, 2024 16:23
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re-targeting to branch-25.02

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