# In an attempt to better predict the number of "tree debris" 311 calls in
# Chicago, this experiment incorporates data from local weather stations.
from datetime import datetime
from menorah import Menorah
sources = [
["chicago-311", "Tree Debris", "aggregate=1 day"],
["chicago-beach-weather", "Foster Weather Station", "humidity"],
["chicago-beach-weather", "Foster Weather Station", "interval_rain"],
["chicago-beach-water-quality", "Osterman Beach", "wave_height"],
]
menorah = Menorah(
sources,
"work/example5-multifield-aggregated",
since=datetime(2015, 5, 20)
)
menorah.swarm(swarmParams={"swarmSize":"large"})
menorah.runModel(plot=True)
# Gets aggregated data for Portland OR 911 calls and attempts to predict the # number of calls every 15 minutes. from datetime import datetime from menorah import Menorah sources = [ ["portland-911", "portland-911", "aggregate=15 minutes"], ] menorah = Menorah(sources, "work/example3-aggregated", since=datetime(2015, 7, 10)) menorah.swarm() menorah.runModel(plot=True)
