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.

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

Kind regards

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