TODO

[cocoliliace]

Good job guys we're almost done. Just gotta finish these in the order listed before handing in.

• [x] Write main.py
  • I'm not sure how you guys' parts work. For my part, just import output.py and call interactive_model(climates: List[Climate], poly: PolynomialRegression) after getting the data using your parts.
  • We worked on our parts separately so there's probably some debugging we'll need to do once we merge everything
• [x] Clean up code
  • [x] Check the whole program with pyta
  • [x] Check contracts in all files except main.py
  • [x] Read through the docstrings carefully
  • [x] Separate the files into folders
• [ ] Write the written report
  • [x] Section 1~4 are the same as phase 1, just change a bit
  • [x] Whoever modifies this part should do section 6 (what we changed since phase 1) What we changed
    • We're not extrapolating (are we?)
    • No trivia (there's nothing trivial)
  • [ ] Section 5 (how to get our data)
  • [ ] We should talk about section 7 (answering the research question) before writing it. Seems a bit tough. Need to aim for 500~800 words

[MakoStrwlkr]

I don't know much about the other parts, but if anyone wants to use the regression model, just initialize it by passing the parameters: {: [values]}, {>dependent-var-name>: [values]}, degree, precision. Then you'll have access to all methods define for the regression model, including accuracy measurements and plotting.

As for section 6, I completely changed my approach since phase 1 (going from calculus method to linear algebra method), and modified it so that it can be extrapolated for all degrees. As for whether it makes sense to extrapolate, well, we can talk about that in discussion.

I suggest we start working on these things immediately.