@adonnini for regression you’ll want to look at our examples there then as well. Take a look here:
The example is a bit older but shows how to evaluate regression, set the objective (in this case you’ll probably want to do an RMSE and change the output)
There’s also threads on the forums:
Regression instead of a classification - #6 by treo
LSTM Regression Example - #10 by andrew-selvia
It’s up to you whether you want to do classification or regression. Just make sure you frame the problem correctly.
Usually with GPS data you want to predict something like a kind of action where people are or if they’re making a certain kind of action based on something like speed in addition to location.
If you can’t frame it in terms of a set of concrete labels you probably need to look at doing regression.
Without reading through your examples and just your description here predicting the user’s next location in terms of GPS coordinates might be possible if you had something like the speed and the neural net could predict a target coordinate/direction based on that.
Predicting direction (north, south,…) could be possible if you label your data correctly.