Using FLAML to Optimize Parameters in a scikit-learn Pipeline

[HessTaha]

Hello,

I'm trying to find examples where you can define a scikit-learn pipeline and use FLAML to automatically search for the optimal parameters of both the preprocessing steps and the estimator (for example TFIDF / Logistic Regression). So far, I haven't come across any.

Is this even possible with FLAML?

Thanks!

[thinkall]

Hi @HessTaha, you can create a customized learner and optimize it with FLAML. Checkout the doc here. Thanks.