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For data driven loan selection on lendingclub. Important packages are sklearn, pandas, numpy, pytorch, fastai.
datav0.0.0 <- model.processingtype.raw_data_csvs? Each redownload of new data, increment rightmost #?
Advisable to set up an environment After cloning: in root dir (lendingclub) with setup.py, run pip install -e . properly setup account_info.py in user_creds (see example)
Run order (all scripts in lendingclub subdir):
j_utils is imported and use in several scripts. See repo https://github.com/jmhsi/j_utils
To fix permissions troubles, I ended up adding jenkins and justin to each others groups (sudo usermod -a -G groupName userName) and doing chmod 664(774) on .fth and dataframes or other files as necessary.
Current jenkins setup runs in conda environment (based off https://mdyzma.github.io/2017/10/14/python-app-and-jenkins/) Considering moving to docker containers once I build the Dockerfiles?
Made symlink: ln -s /home/justin/projects to /var/lib/jenkins/projects so jenkins can run scripts like the actual projects directory
'eval_loan_info.fth', 'scaled_pmt_hist.fth', 'base_loan_info.fth', 'str_loan_info.fth'
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