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The current getenum is able to take multiple enumerations, but then effectively treats them as a set spread out across all 2 or more enum columns. Need to create a multivariate enum that treats the e…
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Opening a thread to discuss ```NASA``` dataset. We can add comments and discuss its characteristics, suitability for using it for benchmarking.
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# 🚀 Feature Request
Currently, MultivariateNormal has implemented __add__ and __mul__ methods with either (i) another multivariate normal , or (ii) floats/ints. It would be useful to accept tensors…
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Hi,
I wonder why the approximation functions PAA and DFT are applied to the rows? In my opinion based on what I found in the papers and dissertation of Patrick Schäfer, this should be applied to th…
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The current implementation of [`default_multivariate_normal_fn`](https://github.com/tensorflow/probability/blob/v0.9.0/tensorflow_probability/python/layers/util.py#L202) looks like (excluding doc-stri…
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@JamieMcDevittIrwin I thought of a thing!
We've been thinking about how grazer biomass varies along coarse gradients in hard coral and macroalgal cover, and structural complexity. We also want to c…
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The most magical thing about Psy is that it has functions to compute the largest GCR of a Wishart matrix that you could expect to obtain by chance, given the size of your covariance matrix. We need to…
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see also #4046
random notes because results are all over the literature, and it's often difficult to find a specific item
- multivariate copulas, formulas for Frank, Gumbel and Cook-Johnson
S…
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When I ran multivariate-effect-size-by-category command with the parameter "--p-max-levels-per-category 10" , I found a ValueError (see attached figure). And the program ran fine when I removed this…
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We currently delazify the Cholesky decomposition inside `MultivariateNormal`: https://github.com/cornellius-gp/gpytorch/blob/8f9b44fc57dbb0a13b568946f07a37e9332f92c4/gpytorch/distributions/multivariat…