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rmcantin / bayesopt

BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
GNU Affero General Public License v3.0
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Use BayesOPT to optimize categorical variables #15

Closed csjtx1021 closed 7 years ago

csjtx1021 commented 7 years ago

Hey Ruben, Sorry to disturb you. I have a question about categorical variables. My inputs are 8 binary variables (0/1). Here is the running status and the results.

bayesopt1.txt log1.txt bayesopt2.txt log2.txt

When "mParameters.noise" is small e.g. 1e-10, there is a error in log1.txt. But when "mParameters.noise" is equal to 1.0, there is not any error. Why did this happen ? This question has been bothering me for a long time. Have a favor.

Thanks a lot.

Cui

rmcantin commented 7 years ago

Bayesian optimization relies on regression models to model the response function. In the case of pure binary variables, the regression model does not makes sense.

Why do you use POI instead of the default EI?

rmcantin commented 7 years ago

Closed after no feedback