User Portlet
| Discussions |
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| Regarding JAX, you may be aware of Aesara ( https://github.com/aesara-devs/aesara ). |
| Thanks. This was solved by unregistering one of the python distributions that I had on the system. The two methods were accessing different distributions. |
| The Binomial and Multinomial random number generators in Mathematica are fast if multiple draws are needed from the same distribution, i.e., when the distribution parameters do not change across the draws. This can be seen by generating, for example,... |
| I am wondering whether there are any plans to include Automatic Differentiation functionality in Mathematica. Given the great progress that has been made on Neural Networks, I guess that this functionality is already internally available. It would be... |
| You can use a function such as ranGenPareto = Compile[{{loc, _Real}, {scale, _Real}, {shape, _Real}}, Module[ {u}, u = RandomReal[]; loc + scale*(u^(-shape) - 1)/shape ], ... |
| I would like to see the following functionality to improve Mathematica's capabilities for data science and numerics 1) Algorithmic Differentiation (also known as Automatic Differentiation) functionality. 2) More functions that are... |
| Thanks. This works for me too. Asim |
| You might find this useful http://williamjturkel.net/category/mathematica/ |
| Hi Martin It would be great for the community if you can post the details of a small working example, i.e, some simple data and code. Asim |
| The documentation for LibraryLink has the following example[code]DLLEXPORT int demo_TI_R(WolframLibraryData libData, mint Argc, MArgument *Args, MArgument Res) { MTensor T0; mint I0; double R0; T0 = MArgument_getMTensor(Args[0]); I0 =... |