gotten to point the package to a system installation of
>> tensorflow, in which case they will be cursing themselves for
>> forgetting while watching the installation process. You could check
>> for interactive() and then prompt the user to avoid that case.
>>
>> On
ig in the source code of the unit tests to find
>> reticulate::py_module_available("tensorflow")).
>>
>> In addition, you could also start each of your functions that rely on
>> the tensorflow Python module with a check to see whether the module is
>&
talled. Is there any way to
customise a package installation within Bioconductor to trigger the
tensorflow::install_tensorflow() ?
As more people use tensorflow / deep learning in genomics I can see
this being a problem so it would be good to have a solution in place.
Many than
