The DocumentClassifier package seems like a good starting point, but if the document type isn't part of the out-of-the-box models, I'd probably go with DocumentUnderstanding to have more flexibility.
I'm a bit confused by the options, but I'm leaning towards DocumentUnderstanding since it sounds like it's the most flexible for handling different document types.
Based on the question, it seems like the DocumentUnderstanding package would be the most appropriate choice, as it's specifically for handling document types that aren't part of the out-of-the-box models.
I'm a bit unsure about this one. The features listed don't all seem directly related to SD-WAN. I'll need to rely on my general networking knowledge to make an educated guess here.
As a machine learning expert, I can confidently say that the answer is 'Skynet'. It's the only logical choice when dealing with non-standard document types.
I think Document would be the best option since it is a generic package that can handle a variety of document types, not just the out-of-the-box models.
Chuck
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