Streamline Your Model Builds with PyCaret + RAPIDS on NVIDIA GPUs

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PyCaret is a low-code Python machine learning library based on the popular Caret library for R. It automates the data science process from data preprocessing to insights, such that short lines of code can accomplish each step with minimal manual effort. In addition, the ability to compare and tune many models with simple commands streamlines…

This is a real power hose. As a R user, I am trying to find some similar for R that can help build models with R on NVIDIA GPUs

How do you run the PyCaret Models using cuML when you did not load the data using cuDF?

I am a bit confused… Will PyCaret load the dataset on GPU behind the scene?
I ran your code, and used nvtop to monitor my GPU activities, I could see some models running on GPU