[TASK] Allow Bayesian Optimization to use Pre-trained GP ROM

[wangcj05]

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Issue Description

Is your feature request related to a problem? Please describe. For experimental design, utilize existing dataset from experiment to guide the future exploration and exploitation will benefit optimal experimental design.

Describe the solution you'd like Allow pre-trained GP ROM to be used in the Bayesian Optimization

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

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For Change Control Board: Issue Review

This review should occur before any development is performed as a response to this issue.

• [x] 1. Is it tagged with a type: defect or task?
• [x] 2. Is it tagged with a priority: critical, normal or minor?
• [x] 3. If it will impact requirements or requirements tests, is it tagged with requirements?
• [x] 4. If it is a defect, can it cause wrong results for users? If so an email needs to be sent to the users.
• [x] 5. Is a rationale provided? (Such as explaining why the improvement is needed or why current code is wrong.)

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For Change Control Board: Issue Closure

This review should occur when the issue is imminently going to be closed.

• [ ] 1. If the issue is a defect, is the defect fixed?
• [ ] 2. If the issue is a defect, is the defect tested for in the regression test system? (If not explain why not.)
• [ ] 3. If the issue can impact users, has an email to the users group been written (the email should specify if the defect impacts stable or master)?
• [ ] 4. If the issue is a defect, does it impact the latest release branch? If yes, is there any issue tagged with release (create if needed)?
• [ ] 5. If the issue is being closed without a pull request, has an explanation of why it is being closed been provided?