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I looked through existing issues and didn't find someone suggesting this before. But you could in principle replace the special case matern functions by a parametrized type. The advantage is that 1.5 …
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Dear Tamas Papp,
Thanks for your efforts on TransformVariables.jl. Do you happen do know a source (paper/textbook/blog) which explains the transformation which underlies the UnitVector type?
bes…
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If you apply a predetermined random pattern of sign flipping to an input array followed by the fast (Walsh) Hadamard transform you get a random projection of the input data. You can use that for unbi…
ghost updated
4 years ago
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Would there be any easy ways to add word level encodings? One way I could think of to get something similar is to pre-compress individual words, but I was interested to know if there were any better /…
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OK, so I now have a slightly better understanding of the resampling buffer, and so I thought it would be useful to turn the discussion about the particle filter where the model and inference are on di…
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### Is your feature request related to a problem? Please describe.
`cdist` function is widely used in AI-related applications, but the performance is not good enough. Here is one of the practical use…
Qiyu8 updated
2 years ago
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It would be good to have a mechanism to uniquely identify (hash) grids for a number of reasons:
1. Disambiguate data that are are in most other ways the same, e.g. regional output. Usually they wou…
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For my specific data engineering application, having a fast Fast Fourier Transform algorithm would be great to have. However, there are many applications that could benefit from FFT, like audio analys…
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Now that we support array expressions, I'm finding that I really want to be able to pass the `axis` argument to reduction functions like `np.sum()`, `np.mean()`, etc. This raises the issue again of h…
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It would be really great if posterior had a capacity to have reduced the standard errors associated with the expectations it can produce (eg mean, var and sd). Recent work [1] has shown that, if we us…