Model code to go along with our blog posts
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xgboost-baseline
README.md
requirements.txt

README.md

space2vec: Model Code

Check our the posts here: space2vec.com

The project behind the code is talked about in detail throughout the blog posts. But this is where the cool code stuff happens!

Data

You can find the feature engineered CSV from the autoscan project (under the "Features" heading) site here: http://portal.nersc.gov/project/dessn/autoscan/

Environment

We have supplied requirements.txt file which you can use to setup the right environment. This was made for Python 3.6, so if you are getting errors about missing versions or something similar try removing anything after the "==" for that library in the requirements.txt and run again.

Posts

Week 2: building a baseline model

See /xgboost-baseline for code

We pickled the feature engineered data for our above model, you can find the data here: https://drive.google.com/open?id=1Pa4-imVbK7yfZuCX3mfF-mMae1eyhQqo

Maintained by Pippin Lee (pl@deeplearni.ng) and Cole Clifford (cc@deeplearni.ng)