README

The Higgs Machine Learning Challenge is put on by CERN to help improve the discovery methods of the Higgs Boson.

From the challenge website: http://higgsml.lal.in2p3.fr/...

This script takes the HiggsML test, training, and random_submission datasets (CSV files) from the HiggsML challenge and imports them into MongoDB instances

• Version - 0.1
• Learn Markdown

How do I get set up?

• Summary of set up
• Configuration
• Dependencies
  • MongoDB - http://docs.mongodb.org/manual/installation/
  • pymongo - http://api.mongodb.org/python/current/installation.html
  • HiggsML Data sets - https://www.kaggle.com/c/higgs-boson/data
• Database configuration
  • to start mongodb (using the default configuration and install guidelines from the MongoDB install guide above) run
    • /bin/mongod --conf=
• Deployment instructions
  • Start up mongo as shown above
  • Copy the script hml_to_mdb.py to a directory on your hard drive. Place the dataset files, test.csv, training.csv, and random_submission.csv into this same directory.
  • Run python hml_to_mdb.py <test | training | random_submission>. This creates a test, training, or random_submission database called higgsml_test (training, random_submission). Each row in the .csv file is put into an "events" collection and each row in the .csv file becomes a document in the events collection with "_id" being replaced by "EventId".

Contribution guidelines

• Do what you wish...

Who do I talk to?

• syntax@arbitraryy.com