Originally published at: https://developer.nvidia.com/blog/stacking-generalization-with-hpo-maximize-accuracy-in-15-minutes-with-nvidia-cuml/
Stacking generalization is a widely used technique among machine learning (ML) engineers, where multiple models are combined to boost overall predictive performance. On the other hand, hyperparameter optimization (HPO) involves systematically searching for the best set of hyperparameters to maximize the performance of a given ML algorithm. A common challenge when using both stacking and…