Milestone 2 Meeting Minutes
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cmmclaug commented
March 1st 2021 Milestone 2 Kickoff:
- Make sure Python package is usable by end of milestone
- Revise functions first
- Write tests before functions
- Iterate functions/tests
- Neel/Daniel to set up R repo
- Wait until lecture before assigning all issues
- Aim to have Python test and function beta for Thursday
- Create the R repo structure first before working on R tasks
- We should continue to have early group kickoff meetings
- Update issues with notes when creating PRs
cmmclaug commented
March 4th 2021 Lab Discussion:
- During function revision and discussion with Tiffany, we came to the following clarification on function purposes:
- Our regression functions will train sklearn models and report important statsmodel model values
- Not enough time for PostLasso inference
- We do not have to create a completely unique package
- New high-level directive: Create wrapper functions that produce a fit sklearn model and an output of statistical model and feature summaries from statsmodel model.
- Model summary metrics to report:
- N observations
- Loss function used
- Adjusted R-squared
- F-test probability
- Report feature coefficient summary table as a dataframe
- Add a missing data plot to the EDA function
cmmclaug commented
March 5th 2021 Group Check-in Meeting:
- Use error_string constants file to keep DRY
- Change data_frame inputs to df
- arid_linreg() is now outputting an sklearn and statsmodel models and outputting some summary info
- Remember that commit messages on R repo are subject to grading
- Make sure to use GitHub Flow workflow on R repo; always branch and create PRs from-to main
- R package will create an sklearn interface in R environment.