I have a two part question to help me set up/understand .NET ML.
First part is a simple scenario, second part is an extension of the first.
Part 1:
- There is a bag to be filled with sand to say 5kg by a machine.
- The machine has an open/close system to a hopper above.
- There is other data we know like, wetness of sand, type of sand, hoper fullness etc..
Is it possible to have .NET ML use the data to predict the open time (label) of the filler and use the resultant weight as the measure of accuracy (score)?
Part 2:
There might be a wagon that you load the sand into and you want 5 kg over each axel (two 'scores') and you might have two predicted variables (open time, distance to front of wagon we open at).
Can you have a single model to have two predicted variables (labels) and two success measures (scores)?
