Kh-im

Batch (Multi-trials) evaluation in Service API performance

3

Hello, As proposed in a precedent issue, I'm using parameters, trial_index = ax_client.get_next_trials(max_trials=5) in Service API to get 5 trials at the same time and evaluate them (the generation strategy...

Question : modifications of compute_posterior_pareto_frontier

1

Hello, When using compute_posterior_pareto_frontier and adding outcome_constraints , the line : run = model.gen(1, model_gen_options=model_gen_options, optimization_config=oc) is giving us one point. If we add : run = model.gen(tests, model_gen_options=model_gen_options, optimization_config=oc)...

FullyBayesianMOO memory usage

5

Hello, I use FullyBayesianMOO in Service API with 5 inputs and 4 objectives. After ~40 trials, the memory usage is already at 20 Go and computation time is also very...

Save model in JSON to python memory without writing it to disk

1

Problem: I want to use save_model("model.json", format="json") but piping directly the JSON object into memory and not saving to disk. Is this possible ? I tried to use __serialize and...