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Model calibration

Open ghost opened this issue 5 years ago • 6 comments

Dear Emukit developper(s),

I recently found the Emukit library and I really like it. There is one feature that would make it 100% complete for what I need: Bayesian calibration (as in https://www.asc.ohio-state.edu/statistics/comp_exp/jour.club/KennedyOHagan_2002.pdf)

Do you know of any example/application of this method in Emukit or any other package based on GPFlow?

ghost avatar Jun 12 '19 04:06 ghost

Hi @szboksteen,

Thanks for your interest in Emukit. Can you provide some details about what you are trying to do? Having an specific example will help us to identify better what is missing.

Also, have you try to start with a wrapper for GPflow like the one we have for GPy? This will give you direct access to all the stuff already implemented. Definitely something nice to have,

javiergonzalezh avatar Jun 12 '19 21:06 javiergonzalezh

Note that for the GPflow model wrapper you don't need to start with all the interfaces. IModel and IDifferentiable shpuld give you good coverage already.

javiergonzalezh avatar Jun 12 '19 21:06 javiergonzalezh

Hello, thanks for replying. What I would like to do is retrieve posterior distributions of uncertain model parameters based on experimental observations. The statistical model:

y = eta(x,theta) + delta(x) + epsilon,

where y - output (measurable by experiment) eta - original model output x - settings (measurable by experiment) theta - unknown model parameters delta - systematic model bias epsilon - noise.

The result of calibration is P(theta | x_observed,y_observed) = posterior. This can then be used as en emulator to make predictions P(y_new | x_new, theta_posterior).

Thanks for the advise about creating a wrapper.

ghost avatar Jun 13 '19 06:06 ghost

Hey @szboksteen , did you end up using emukit? If so, we would love to know your use case!

apaleyes avatar Sep 05 '19 08:09 apaleyes

Hello Andrei,

I have used emukit only for DOE at the moment. I have directly used GPFlow for building the emulators. If I find a way to do Bayesian Calibration (Kennedy and O'Hagan type) with emukit, then I will definitely use it more. Any progress on this?

Regards Sowande

On Thu, Sep 5, 2019 at 10:19 AM Andrei Paleyes [email protected] wrote:

Hey @szboksteen https://github.com/szboksteen , did you end up using emukit? If so, we would love to know your use case!

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ghost avatar Sep 05 '19 10:09 ghost

@szboksteen no, not really. we are currently focusing on other applications of emukit, i guess mainly because we haven't encountered use case for calibration ourselves

apaleyes avatar Sep 05 '19 16:09 apaleyes