Remove preprocessing config from loading functions
Summary
This MR introduces the following changes
- Removing the preprocessing config from the load functions and replace it with the scale dict, the only thing that is needed from the config.
-
get_test_sample
andget_test_sample_trks
can now take the path of thevar_dict
and thescale_dict
or directly the loaded dicts - Adding possibility to define which step of
evaluate_model.py
is run via command line argument. - Removing useless
tagger
command line option fromevaluate_model.py
. This is a needed variable in the train config and therefore always given. - Adding progress bar to the different steps of the
evaluate_model.py
script. By default, this isFalse
. When callingevaluate_model.py
with-v
, the progress bar is shown.