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This is more a invitation to docker instead a real PR.
I had trobles to have a full working environment to build ML.
On ubuntu amd64 I had problems with gcc 64bit.
On debian, problems installing the ppa (gcc).
The virtual image is for vmware and I usually avoid use proprietary sw.
So, why not docker?
Incremental sending, automated builds, easy to test/upgrade/maintain.'
I'm not a docker guru. I'm a beginner but docker is really easy.
I build two images for docker and in minutes you'll have a full working environment to build ML.
At the moment, automated build is linked to my bitbucket account, but it's a test.
Please think about it.
i personally have never really used docker and never was able to build it on my machine.
this was some time ago when i tested it. but if someone takes care about that (for a longer time) - why not?
Finally got this to work in an Ubuntu Bionic VM, after lots of struggle with other systems. Interesting concept, but I found it a lot harder than downloading the ARM toolchain.
Will try to get something that works without patching the Makefiles.