Bayesian Optimization

Hi @AlexanderFillbrunn,

I am trying to tune my model using search strategy as Bayesian Optimization.

I would like to know the importance/significance/role/how are the useful of parameters
a. Max number of iterations
b. Number of warm-up rounds
c. Gamma
d. Number of candidates per round

One liner explanation of each will help me tune these parameters. Currently i do not have any idea as how they are useful.

Hello,
Please check the options of the Parameter Optimization Loop Start node on KNIME Hub.

Kind regards
Alexander

This topic was automatically closed 182 days after the last reply. New replies are no longer allowed.