Multi-objective experiments generate duplicated data

[HuizhiXu]

Hello,

I have been utilizing the multi-objective optimization approach for my specific use case. Here is a brief overview of the code I have implemented:

model = Models.MOO(
    experiment=self.experiment,
    data=self.experiment.fetch_data(),
    acqf_constructor=get_NEHVI,
)

generator_run = model.gen(1)

The code has been functioning effectively up until now. However, I have recently encountered an error. It appears that the generator may be producing duplicate data points during its operation.

Trial 23 and Trial 24 have same parameters.

Upon investigating potential causes, I found a similar issue here: Completed Multi-objective NAS experiments without metrics and repeated parameter selections The user in that issue also faced a problem with duplicate data generation.

The resolution suggested for their situation involved utilizing the Ax service API and setting the should_deduplicate parameter to True in the call to choose_generation_strategy.

Given this information, I am inquiring whether there is an equivalent parameter available within the Ax developer API that I could use to address the issue of duplicate data generation in my case. If such a parameter exists, I would greatly appreciate guidance on how to implement it in my current code setup.