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cmpt-353-final's Introduction

#OSM, Photos, and Tours This is our final submission for CMPT, in which we [TBA]

##Usage ###Samples WIP

###Full Demo To run the whole thing locally, start to finish, using the [amenities-vancouver.json.gz]:https://coursys.sfu.ca/2020fa-cmpt-353-d1/pages/ProjectTourData data sample from the assignment page:

# Cleans the base data and expands each location's tags before saving them as a csv.
python datacleaning.py osm/amenities-vancouver.json.gz 
# Runs the rest of the model creation, stats tests and data analysis. outputs then to /out and /data
python knn_risk_predictor.py data/amenities-vancouver.csv 

##Requirements

  • Python 3.5+
  • Spark 2.3+
  • Scipy
  • Sklearn
  • Matplotlib

WIP

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