Pepe's Braindump

Model stacking

tags
Machine Learning

Description

Model stacking is a way of ensembling models, when we want to give different weights to different models in the ensemble.

Model stacking adds a new learning phase that calculates the optimal way of combining the models in the ensemble.

Cortex theme by Jethro Kuan. Built with org-mode, org-roam and Hugo