How to predict after creating keras model (done after 'complie', 'fit', 'history'..)?

[Andrea]

@jlacko

The keras models behave differently than most other R objects. They are modified in place, meaning after passing the training results to the history object (which will contain training metrics and so on) the model object itself will be different (trained).

Which, btw, is how objects “work” in most OOP languages. You apply a class method on the object, and the object itself is modified (which is why you see that special argument self in the definition of said methods).