aayushkumarjvs/RoroDataInternship
As the plot contains of 10,000 samples of data with uniform pattern in between with a range of (0,1]
In exponential decay most of this resembles an equally spaced pattern that is being repeated again but in an exponential format, whose exponents are later on curved
Most of the anomailes are detected from a prior existing piece of code that is the z-normalized script and the discord script, which consists of two functions which are as follows:-
Of these two we even have the flexibility of changing our parameters which are the selection of window size, z_threshold, length of the series
find_discords_brute_force(series, win_size, num_discords=2, z_threshold=0.01):
find_best_discord_brute_force(series, win_size, global_registry, z_threshold=0.01):