Hi Marcus! Sorry for the late reply (exams will be finally over tomorrow, Friday!)
I understand your concern. I'm also not currently sure about the code that would be needed. Frankly speaking, I have never worked with android NDK before (but I'm familiar with android studio, c++ etc). Some of the functions would need to be overloaded or modified to assist the user (for example data::load and data::save will have to be overloaded to work with the internal storage, current implementations would lead to internal storage only). To increase code, we can have a couple of classification apps for android with trained models, and I can write a tutorial for it that could be included to mlpack's website. Also, I think we should use android NDK's libraries as much as possible(they will be maintained and optimized by Google to work better with android). In the worst case, we'll need to reimplement some library functions if android studio doesn't supports it. If you say, to get a better idea, I can spend this weekend trying to get a simple classification model or linear regression model to work. And then we can decide whether to proceed or not :) (I am more then willing to do this!)
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