#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