You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Right now, the InterRowMSAS metric takes the direct difference between a value in row n and row n+1. Then, it averages out all these differences. As a result, the computation effectively cancels out all terms besides the first and last
I'm filing this issue to track whether there is a different form of computation that would be more appropriate for this metric. Alternatives:
Do not average out the differences between each sequence. Instead, add the differences to an overall distribution D_r or D_s.
(Similar to taking a log) Apply a transform each number. Eg. Squaring all values, and identifying the square root of the differences, eg. sqrt((r+x)**2 - (r)**2)
The text was updated successfully, but these errors were encountered:
Problem Description
Right now, the InterRowMSAS metric takes the direct difference between a value in row
n
and rown+1
. Then, it averages out all these differences. As a result, the computation effectively cancels out all terms besides the first and lastI'm filing this issue to track whether there is a different form of computation that would be more appropriate for this metric. Alternatives:
sqrt((r+x)**2 - (r)**2)
The text was updated successfully, but these errors were encountered: