Initial version
- Added the function
main.extract_conceptsfunction which performs the concept extraction / clustering for a given model and dataset combination and returns a list of all the identified concept dicts. - Added the function
generate_concept_prototypeswhich takes an existing list of concepts, the original model and the dataset as parameters and will apply a genetic algorithm optimization to generate prototype graphs.
- Modified the Reader and Writer classes to support the direct export and imports of the elements as visual graph elements in the format of a visual graph dataset folder.