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mkhan037
mkhan037 commented Jan 14, 2020

The docstring in the gaussian_ei acquisition function mentions

Note that the value returned by this function should be maximized to
obtain the X with maximum improvement.

However, in the Optimizer class, we see that the next x is determined by the following code for the 'sampling' acquisition optimizer.
` values = _gaussian_acquisition(
X=X, model=est, y_op

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larq
erohmensing
erohmensing commented Mar 24, 2020

@ines thanks so much for this repo, it's really helpful for interactive documentation!

Is it possible to specify a parameter that will launch the container and download the requirements on page open, instead of when the runnable is first clicked? Our requirements take some time to install, so if we could do this in the background while they're reading content instead of making users wait ~a mi

TPreece101
TPreece101 commented Dec 1, 2019

I was wondering whether it would be possible to create some kind of a HelloWorld tutorial of using this extension? (Forgive me if one already exists).

I am trying to set this up on JupyterHub to proxy a streamlit app and I am struggling to find where to put all the config etc, knowing whether I need to start the server etc.

A simple tutorial for setting up an arbitrary port proxying would go

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