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
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.