Streamline Your Model Builds with PyCaret + RAPIDS on NVIDIA GPUs

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 efficiency and productivity with less time spent in the weeds of creating useful models. The PyCaret team added NVIDIA GPU support in version 2.2, including all the latest and greatest from RAPIDS. With GPU acceleration, PyCaret modeling times can be between 2 and 200 times faster depending on the workload. This blog article will go over how to use PyCaret on GPUs to save both development and computation costs by an order of magnitude.