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License: MIT License
Python implementation of Adaptive Rejection Sampling
License: MIT License
I would like to use your code for a project, but I would need a license for that. Would you consider adding a LICENSE file (Apache License 2.0 or MIT)?
a more general interface np.array([f(x) for x in self.x]) allows for function that is not necessary array friendly.
When the dataset is large, an uninformative prior can easily produce a large gap in the demean ux.
The line segment logic also breaks down because it will just sample the x[j] that produces the highest value.
Thanks for this. I was wondering if you know of any Python implementations of the derivative-free version of adaptive rejection sampling. Thanks
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