Originally published at: https://developer.nvidia.com/blog/advancing-the-state-of-the-art-in-automl-now-10x-faster-with-nvidia-gpus-and-rapids/
To achieve state-of-the-art machine learning (ML) solutions, data scientists often build complex ML models. However, these techniques are computationally expensive, and until recently required extensive background knowledge, experience, and human effort. Recently, at GTC21, AWS Senior Data Scientist Nick Erickson gave a session sharing how the combination of AutoGluon, RAPIDS, and NVIDIA GPU computing simplifies…
Dear Team i have various questions regarding the Autogluon
- How Autogluon Distributes time among each model?
- Is Autogluon uses all the models for infer or it uses the best model?