2min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

How to Train a Super Learner Model?

The super learner, the models that you're working with. They're not like pre trained models. You have to then train your super learner, right? And how is that done? So, yes, so through the h reat cuesto through cross valedation. But but you training im thinking like in the strictly causal formulation of this problem.You don't have experimental or observational data. Is that created through simulation? Or you training your model based on observed data later? Or i guess i'm thinking of it as like a supervised learning kind of problem,. Your training is like cor ing the two, essentially, or a training base on the two.

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