This produces a simple model: it uses the training data to record the average stars for a business. To make a hypothesis about a new review, it just uses the average for that business.
$ virtualenv venv
$ source venv/bin/activate
$ pip install -r requirements.txt
$ zcat yelp_academic_dataset.json.gz | python simple-model-generator.py > hypothesis.py
$ python simple-model.py < test_reviews.json > hypothesis.json
$ curl [email protected] http://yelp-csua-coding.herokuapp.com/rmse
http://www.yelp.com/academic_dataset
test_reviews.json available to Berkeley students during the competition
To test results http://yelp-csua-coding.herokuapp.com/rmse
Copyright 2009-2012 Yelp (Jim Blomo [email protected])
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
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