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New York city heating problems

New York City heating problems, or how to use machine learning to predict building heating complains.

Building this booklet locally

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.

  1. Install MkDocs locally following the official documentation instructions.
  2. git clone https://github.com/ibm-cloud-architecture/nyc-heating-problems.git (or your forked repository if you plan to edit)
  3. cd nyc-heating-problems
  4. mkdocs serve
  5. Go to http://127.0.0.1:8000/ in your browser.

Pushing the book to GitHub Pages

  1. Ensure that all your local changes to the master branch have been committed and pushed to the remote repository.
    1. git push origin master
  2. 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
  3. Run mkdocs gh-deploy from the root refarch-kc directory.

Contribute

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.

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New York City heating problems, or how to use machine learning to predict building heating complains.

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