Use NumPy to calculate the likelihood ratio for the following data with the formula:
likelihood_ratio=tp*n*log tp/ep+(n-tp*n)*log(1-tp)/(1-ep)
n |
tp |
ep |
1000 |
0.5 |
0.3 |
8000 |
0.2 |
0.6 |
3000 |
0.8 |
0.7 |
5000 |
0.6 |
0.4 |
DescriptionIn this final assignment, the students will demonstrate their ability to apply two ma
Path finding involves finding a path from A to B. Typically we want the path to have certain properties,such as being the shortest or to avoid going t
Develop a program to emulate a purchase transaction at a retail store. Thisprogram will have two classes, a LineItem class and a Transaction class. Th
1 Project 1 Introduction - the SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of
1 Project 2 Introduction - the SeaPort Project series For this set of projects for the course, we wish to simulate some of the aspects of a number of