Exercises

Try to do the following exercises:

• Try to use mp.py with a time series with 50,000 elements and see how much time it takes to complete for sliding window sizes of 16, 2048, and 4096.
• Try to use mp.py with a time series with 65,000 elements and see how much time it takes to complete.
• Experiment with the exclusion zone limits of mp.py and see what you get.
• Use realMP.py and stumpy.stump() to compute the Matrix Profile vectors for a time series with 200,000 elements – create that time series if you do not have one.
• Use realMP.py and stumpy.stump() to compute the Matrix Profile vectors for a time series with 500,000 elements. Now, consider that a time series with 500,000 elements is on the small side!
• Try realMP.py on the 2M.gz time series from Chapter 4 using a single CPU code. As you can see, realMP.py starts getting really slow with larger time series. Now, consider that a time series with 2,000,000 elements is not big.
• We can make mp...