In this assignment we will write a Python program that will consider 
different training and test sets to evaluate the mean error of Nearest 
Means and Naive Bayes for protein sequence classification. Your script 
called run_on_all_data.py would be called as

python run_on_all_data.py fisher-scop-data

It would consider all training sets in all families in the directory 
fisher-scop-data. For each training and test set it would run 
formatdata.py (provided on the course website) to create the data files, 
run nearest means and naive bayes on each dataset, and print the mean 
error.

Submit your assignment by copying it into the directory
/afs/cad/courses/bnfo/f18/bnfo/615/001/<ucid>
For example if your ucid is abc12 then copy your solution into 
/afs/cad/courses/bnfo/f18/bnfo/615/001/abc12

Your completed assignment is due on October 12th 2018.

Usman