Using real world data

[cfilleke]

I think one thing we'd want to do as a preliminary step is to take a couple well-known large ML datasets such as Iris and MNIST, run them through a classical VSM development process (thus coming up with some classical kernels to study within the context of this workflow), then split those datasets up into "initialization" training/validation/test data sets and sample "streaming" data.

This should give us a baseline for comparison with the quantum enhanced algorithm when we devise & automate tests.

EPIC #5

[mickahell]

Good point ! I created the issue #11 for the comparing those data with our workflow output