The project is to figure out which city is being viewed in Google Maps based on the memory footprint.
-
rand_cities.py is used to randomly pick a fixed no. of cities from a bigger list of cities.
-
gen_data.py is used to generate the DRS data dump for given list of cities. No. of iterations per city should be mentioned.
-
plotter.py generates the DRS vs time plots for the given data dump.
-
merge_dumps.py is used to merge multiple dump files into one.
-
data2csv.py generates the Azure ML studio readable csv files from the data dumps.
-
utils.py has required utility functions.