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I am assessing Dataiku's flexibility in accommodating very new research specifically in Deep Learning. I am choosing YOLOv3 as my test subject due to its ease of set up and well known outcomes.
Is this idea possible? If yes, what would be the broad approach to it?
You can create a plugin with several recipes to do that. It would appear in the list of recipes of your Dataiku instance and would allow Dataiku users to freely use YOLOv3 without looking at its code, just specifying parameters in the interface.
You can start by our tutorial to do a plugin recipe:
Then, here is an example of plugin to train deep learning models for images using keras/tensorflow:
You'll see there are multiple components in this plugin: recipes, macros and a webapp.
You'll find the code here: