Anomaly benchmarking

[anantr37]

Added several files for Anomaly Benchmarking:

• Notebook File in the examples folder which has the ability to benchmark on all 250 added datasets
  -- Output is a csv file inside the example folder
• Processing File in the main directory which runs the Anomaly Detection using forecasting (overlapping windows using stride) as well as unique thresholding code (the rest of the code is mostly from the lptm example notebook)
• Dataset File inside src.samay which is very similar to the original dataset.py but has slight changes to work for Anomaly Detection
• 250 datasets inside the data folders