gpu-acceleration

fitDataset() expects a Dataset that produces elements of a certain shape, with matching batch sizes etc., and throws errors (from standardizeDataIteratorOutput()) when the conditions are not met. These errors should be tested.

Howdy folks,

GPyTorch provides Gaussian likelihood objects for fixed noise (FixedNoiseGaussianLikelihood) and for multi-task models (MultitaskGaussianLikelihood). I was wondering if someone could provide me some guidance on how to get a fixed noise multi-task Gaussian likelihood?

Thanks in advance

Galto

We no longer need to control the number of concurrent kernels, since now we control the number of concurrent tasks

If you perform C-h f and read the dialog, it can link you to the implementation for that function.

There isn't any technical barrier to do this for JS/TS.

ArraySize is needed in customFunctions I think.

Here's my custom funciton below. You can see it accepts either 1, 2, 3 or 4 arguments.

If the first parameter is financialStatements then I need to tell hyperformula to return an ArraySize so that it can overflow into subsequent cells.

  // Pre-fixed with TT due to there already being a FinancialPlugin
  // in hyperformula
  class

linux/sysctl.h should be used

build breaks now on fedora 33