Took the dataset from https://resources.lendingclub.com/LoanStats3d.csv.zip and based on it, implemented a simple model that takes an input of 1 loan (which has the same parameters as a line in the spreadsheet) and calculates 2 things -
i) the probability of the default of a loan ii) the potential return of the loan.
Reference http://blog.lendingrobot.com/research/predicting-the-number-of-payments-in-peer-lending/
First run python lattice_preprocessing.py
Then run python lattice_model.py
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