Hey Pravin, thanks for the good question. I was hoping to be a little more scientific originally, but the results weren't great. My solution was to play around with a few parameters until the graphs that were coming out were as I expected. This could definitely be done better with a more sensible weight function, but done is better than perfect!

In ML we might call this hyperparameter tuning...