Parameter Constraint at ALEBO #424
Description
Hey,
i´m trying to implement some parameter constraints in my ALEBO optimization.
When adding the constraint the following Value Error occurs before the first trial evaluation starts. Without the constraint the optimization is running without any problems.
The error occurs in the optimize() of the managed loop.
File "C:\code\black-box-opt\black-box-opt-server\experiment_runner.py", line 365, in run
generation_strategy=alebo_strategy)
File "C:\code\black-box-opt\bbo-env\lib\site-packages\ax\service\managed_loop.py", line 246, in optimize
parameterization, values = loop.get_best_point()
File "C:\code\black-box-opt\bbo-env\lib\site-packages\ax\service\managed_loop.py", line 200, in get_best_point
experiment=self.experiment
File "C:\code\black-box-opt\bbo-env\lib\site-packages\ax\service\utils\best_point.py", line 52, in get_best_raw_objective_point
raise ValueError("Cannot identify best point if experiment contains no data.")
Is there any possibility to implement parameter constraints in ALEBO?