CSO Classifier v2.2

In this version (release v2.2), we (i) updated the requirements needed to run the classifier, (ii) removed all unnecessary warnings, and (iii) enabled multiprocessing. In particular, we removed all useless requirements that were installed in development mode, by cleaning the requirements.txt file.

When computing certain research papers, the classifier display warnings raised by the kneed library. Since the classifier can automatically adapt to such warnings, we decided to hide them and prevent users from being concerned about such outcome.

This version of the classifier provides improved scalablibility through multiprocessing. Once the number of workers is set (i.e. num_workers >= 1), each worker will be given a copy of the CSO Classifier with a chunk of the corpus to process. Then, the results will be aggregated once all processes are completed. Please be aware that this function is only available in batch mode.