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"Streaming optimization is implemented for mixtures of functions, but not for sum redundancy or saturated coverage functions."
I was wondering if there is a technical reason for the above or just t…
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I tried the library on some datasets and I have to say I am positively surprised about the usability and the effectiveness of the methods provided.
At the same time, I found some serious blocker in…
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Can custom submodular functions be written and optimized (minimized in particular) using the library and if so how? Thanks.
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I'm solving a problem that can be formulated as
The second part is a normal facility…
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Hello!
I've got confused by joint candidate generation. In the paper which I've read ([Constrained Bayesian Optimization with Noisy Experiments](https://projecteuclid.org/download/pdfview_1/euclid.…
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Hi @marcotcr , can you see why this problem would happen? I have imported lime and all other functions are fine but importing submodular_pick gives the above error, i sthere any way around it?
Than…
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There are quite large precision errors when doing linear interpolation with CUDA as they compute texture coordinates using only 8 bit precision (see [here](https://docs.nvidia.com/cuda/cuda-c-programm…
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Hello,
I'm trying to implement SP LIME using the code you have in compare_classifiers.py. I was planning on re-using the functions `submodular_fn, submodular_pick` and `greedy`. Then just call` pic…
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I'm trying to get the max flow/min cut of the following graph:
The function `g.get_gri…