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Interesting, but now I believe that **PermissionsKey** is the best way to do that. obj= CloudDeploy[APIFunction[{"n"->Integer},#n^2&],Permissions->{PermissionsKey["thekey"]->"Execute"}] URLExecute[obj, {"n" -> 123, "_key" -> "thekey"}] ...
Given the Mac Pro and the latest powerful MacBook pros, etc. Wolfram should implement Metal support so that we can get GPU acceleration even on modern hardware without NVIDIA GPUs... Any words on this from Wolfram? They also advertise OpenCL...
Thank you for the feedback.It seems to be working fine on my laptop but I will take a look at it again and update the microsite once this issue is fixed.
Oh snap! This workaround by b3m2a1 works really well (CloudExport/CloudImport): https://mathematica.stackexchange.com/a/156125
I also would like to see this. I noticed many of the NN resources were trained with ANN's.
Great demo. Thanks for the detailed explanation of your methodology. Maybe I miss something but shouldn't you write datelist = tsSPXO["Dates"] instead of datelist = tsSPX["Dates"]? I also couldn't find the definition of tsVTDSPX.
Is this for optimizing "RoboCalling"? If so, I would propose that the thread be deleted from the forum by the moderators because while RoboCalling is legal, it probably should not be legal (and certainly should not be sanctioned by Wolfram or anyone...
Bounty received! Enjoy your code!
I should probably mention, I have done extensive testing over the past 2 years on the Wolfram Functions applicable to NLP. Typically, my data has 100k to 500k rows. Generally, they are very simple key-value pairs and not complex multi-column data...
Just starting up on the various cloud functions, and trying to get my mind around them. I am making the transition from webMathematica (JSP, etc.) over to trying out the suite of Cloud functions. I think that I have figured out that CloudDeploy[ ]...