New York City heating problems, or how to use machine learning to predict building heating complains.
The content of this repository is written with markdown files, packaged with MkDocs and can be built into a book-readable format by MkDocs build processes.
- Install MkDocs locally following the official documentation instructions.
git clone https://github.com/ibm-cloud-architecture/nyc-heating-problems.git
(or your forked repository if you plan to edit)cd nyc-heating-problems
mkdocs serve
- Go to
http://127.0.0.1:8000/
in your browser.
- Ensure that all your local changes to the
master
branch have been committed and pushed to the remote repository.git push origin master
- Ensure that you have the latest commits to the
gh-pages
branch, so you can get others' updates.git checkout gh-pages git pull origin gh-pages git checkout master
- Run
mkdocs gh-deploy
from the root refarch-kc directory.
As this implementation solution is part of the Event Driven architeture reference architecture, the contribution policies apply the same way here.
Contributors:
Please contact me for any questions.