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stat-nlp

This is a repository for the homework assignments of Statistical Natural Language Processing.

To run

First, make sure that the directory bionlp2011genia-train-clean is in the same directory as assignment2.py. For a short demonstration, run the following command

python assignment2.py

Workflow

  1. Anything in the master branch is deployable
  2. To work on something new, create a descriptively named branch off of master (ie: new-oauth2-scopes)
  3. Commit to that branch locally and regularly push your work to the same named branch on the server
  4. When you need feedback or help, or you think the branch is ready for merging, open a pull request
  5. After someone else has reviewed and signed off on the feature, you can merge it into master
  6. Once it is merged and pushed to ‘master’, you can and should deploy immediately

Source: Scott Chacon - GitHub Flow

You can follow this workflow like this:

git branch feature-or-fix-description
git checkout feature-or-fix-description
# make some changes
git add .
git commit -m "Add this" # start with a verb in present tense
git push origin feature-or-fix-description
# open pull request on github
# merge & close PR on github
git checkout master
git branch -D feature-or-fix-description
git pull origin master

Python Style Conventions

We adhere to the Python styling conventions as outlined by the Google Python Style Guide

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