Hi everyone,
It's already been 3 weeks since the coding period started. The 4th week starts today and things seemed a little behind schedule as my mentor had suggested changes in the work from last week but I caught up!

What did you do this week?

I worked on some reworks that my mentor suggested in the notebook "Ensemble by stacking". I had gone for a simplistic approach for ensemble due to some minor issues that I wasn't sure I need to tackle. My mentor suggested the notebook should be show accuracies of the initial models and ultimately a better accuracy achieved by ensemble model which turned out to be quite nice as I completed it.
I also worked on the use-case example notebook "Saving and loading models" which demonstrates how to save and load models in the DFFML API. Seemed like pretty straight forward stuff as DFFML saves any models that are trained in the directory provided during the instantiation of the model. And you can simply load the model by re-instantiating the same model with the same directory. However, the notebook is yet to be reviewed and there could be a better way to achieve it so lets see how it goes in the upcoming weekly sync.
Also made some suggested tweaks to the testing script, still have some issues but hopefully will be resolved soon.

What is coming up next?

I will probably start to work on the usecase example notebook "Transfer Learning" since we haven't figured out the mutable config stuff to be able to work on "Tuning models" yet. Hopefully we will come up with something soon on that as well.

Did you get stuck anywhere?

Other than the same old testing script issue, no! :D