20--Polyglot--Jermaine Kee

[JermaineKee]

• [ ] Blank slate
  • [ ] Create a GitHub repo called programming-language-classifier
  • [ ] Set up your requirements/virtual environment
  • [ ] Copy all the files from this folder into your repo
• [ ] Normal mode
  • [ ] Collect a corpus of programming language snippets to use for training data
  • [ ] Extract features from your corpus for your classifier, either using an existing Transformer or one you've written
  • [ ] Be sure you can explain at a high-level how your Transfomer works
  • [ ] Write a classifier function that takes a string of code and returns a guess for the language the code was written in
  • [ ] Test your classifier using the provided test files
  • [ ] Be sure you do not use the test files as your training data
  • [ ] Demonstrate the use/results of your classifier in an IPython notebook
• [ ] Hard mode
  • [ ] Create a runnable Python file that takes a command-line argument of a source code file and prints out the guessed programming language
  • [ ] Calculate the probability of various programming languages, and return the top percentages probable
  • [ ] Add command-line flags to make your program more versatile

[JermaineKee]

https://github.com/JermaineKee/programming-language-classifier

tanked this homework

@jamesmallen @powder-river