Writing unit tests
In the previous video on inference testing, you learned about the importance of writing test cases for your trained and evaluated model using the Python unittest library. In this exercise, you will put your new skills to the test by writing a test case for the model to check that it is producing binary outputs as expected. Your trained model is imported, as well as the testing portion of the dataset X_test.
This exercise is part of the course
End-to-End Machine Learning
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
import unittest
import numpy as np
# Create a class called TestModelInference
class ____(unittest.____):
def setUp(self):
self.model = model