[GENERAL SUPPORT]: slow compared to other bayes opt package

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
15/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
machine-learning

Research direction

No files, tests, or entry points are identified. Start by reproducing the comparison between Ax and BayesianOptimization using 20 initial points and 250 trials, then investigate why Ax takes about two hours versus 45 minutes; done would require an evidence-based explanation and a validated way to reduce the optimization time.

Written by the indexing model from the issue text.

Description

question
Question

Hi I've been using the bayesian optimization python package below.
https://github.com/bayesian-optimization/BayesianOptimization

for the same experiment, the above package took about 45 mins (initital points: 20, iteration number: 250)
but when I use Ax, it takes like 2 hours(max_trials=1, trial_number=250).

why is that?
Is there any way to speed up the optimizing process in Ax?

Please provide any relevant code snippet if applicable.
Code of Conduct
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Dominant language
Python
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