Hyper parameter Tunning

[aiwithqasim]

Since the last Data+AI Summit where the MLflow Pipeline concept is released, I'm working on it & till now I have observed that Mlflow2.0 is covering various aspects which is a positive sign. Still, Manually we have to do Hyperparameter Tunning while working in MLflow. What if we can add a step "tune" in the MLflow pipeline to auto-tune the model with new parameters if our production model is not performing well?
Open to contributing in any way in MLflow Just need a guide (mentor) with whom I can discuss your future goals & can contribute according to your goals. You can reply here OR contact me through the attached email.

Email: qasimhassan1020@gmail.com