Анализ ML моделей с использованием LIME / SHAPLY / LORE / diro2C
28 USDТребуется провести тесты имеющихся моделей и датасетов.
Провести анализ на "важность" переменных влияющих на процесс Машинного обучения.
Уже имеется 3 модели и их требуется описать / сравнить данные / найти закономерности и разницу и предположить что именно влияет.
Задание больше теоретическое. В Jupyter Notebook требуется только открыть модели и импортировать их в модули для отображения результата.
Если кому то знакомы
https://pypi.org/project/PyALE/
https://github.com/marcotcr/lime
https://github.com/slundberg/shap
https://gitlab.com/andsta/diro2c
https://github.com/MasterKarl/imldiff
https://github.com/Trusted-AI/AIX360
любые из списка модули, то смогу скинуть какие требуются "вычисления" или оформления найти.
В приложении добавляю один из примеров уже обученной модели и датасет.
Applications 1
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Доброе утро.
Хотелось бы уточнить сроки и ТЗ.
С уважением, Сергей
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