Stepwise Bayesian Optimization with mlrMBO
With the release of the new version of mlrMBO we added some minor fixes and added a practical feature called Human-in-the-loop MBO. It enables you to sequentially visualize the state...continue reading.
Author: Jakob Richter
Parameter tuning with mlrHyperopt
Hyperparameter tuning with mlr is rich in options as they are multiple tuning methods: Simple Random Search Grid Search Iterated F-Racing (via irace) Sequential Model-Based Optimization (via mlrMBO) Also the...continue reading.
