preprocess.py -> preprocess the GOLDEN log files
auto_test.py -> preprocess the TEST log files
parselog.py -> parses the log into template files
[NEW]step4.py -> compares the test templates to the train templates and generates folder structure to allow learning [OLD]tester.py -> compares the test templates to the train templates
parselog_and_save.py -> parses the log into template files and save elarnt model to models/ folder
python3 parselog_and_save.py 'test/inputdir/' 'test/out1'
learn_more.py -> Use the models from parselog_and_save.py and folder structure from step4.py to make model learn more
python3 learn_more.py 'test/newtemplates/' 'test/out1/' 'test/out2'