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the methods create_instances_from_lists and create_instances_from_matrices of the weka.core.dataset module can handle missing values now (None in case of lists, nan in case of matrices), as well as being able to force columns to be nominal
added the method load_csv_file to the module weka.core.converters to provide a more reliable way of loading CSV files compared to Weka's native CSVLoader converter (uses Python's csv module and then calls create_instances_from_lists).
added simple_range library as dependency to make it easier to generate integer list from range strings
added weka.core.utils module with following methods: correlation, variance, normalize
updated requirements (and install instructions) to make pww3 work with Python 3.11+