Weekly Blog Post #8

Published: 08/07/2022

What did you do this week?

I completed the first iteration of the AutoML model and pushed it onto a new branch. The current model is able to take user-defined train/test datasets, and iterate over a list of user-defined models to return the best performing model. The tuning functionality has yet to be added as I am uncertain of the best way to approach tuning and await my mentor’s feedback.

What is coming up next?

I will be watching closely for any feedback regarding the direction I should take the AutoML models’ tuning. Otherwise, I will assume that model should be able to accept a user-defined set of hyperparameters, and work on incorporating that into the existing iteration.

Did you get stuck anywhere?

It was certainly challenging to get the AutoML model running as it is quite different from other existing DFFML models, but I managed to in the end and the rest should be quite smooth-sailing from here.