I don't know that this is really relevant here, but how do you manage feature engineering with dataclasses? So at the beginning of your project you have raw data and you work on defining dataclasses that better represent the domain problem. What's your approach when it comes to the iterative nature of feature engineering. Do you load the dataclasses in a notebook and work on features and modeling there and then later refactor any new interesting features into already existing dataclasses (e.g. add/redefine fields in the dataclasses)?
I don't know that this is really relevant here, but how do you manage feature engineering with dataclasses? So at the beginning of your project you have raw data and you work on defining dataclasses that better represent the domain problem. What's your approach when it comes to the iterative nature of feature engineering. Do you load the dataclasses in a notebook and work on features and modeling there and then later refactor any new interesting features into already existing dataclasses (e.g. add/redefine fields in the dataclasses)?
Thanks Laszlo!
Matteo