lorenzo2beretta / ML_project

Repository devoted to A. Micheli exam compliances.

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ML_project

In order to understand the code read first report.pdf

If you want to run your own experiments with my code start from test_monks.py

ACHTUNG! to run my code on CUP dataset you should use my files in cup directory since they are well formatted for the purpose


-------------------------- FILE LIST ------------------------------

---- a directory containing the splitted training and test set for CUP cup/ cup/cup.train cup/cup.test

---- files containing CUP blind test results and abstract DragonDrinkers_ML-CUP18-TS.csv DragonDrinkers_abstract.txt

---- source code files (read report or comments to delve into 'em) gradient_descent.py network.py utility.py

---- pdf file containing the report report.pdf

---- test files to launch your first training and test with my code test_cup.py test_monks.py

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