In Python machine learning, how do I write unit tests?

In Python machine learning, writing unit tests is essential to ensure your code is working as intended. Unit tests help you verify that individual components of your application are functioning correctly, thus maintaining code quality and facilitating refactoring. Here's a simple guide to writing unit tests with an example.

Example of a Unit Test in Python

import unittest # Assume we have a simple function to test def add(a, b): return a + b class TestMathFunctions(unittest.TestCase): def test_add(self): self.assertEqual(add(1, 2), 3) self.assertEqual(add(-1, 1), 0) self.assertEqual(add(0, 0), 0) if __name__ == '__main__': unittest.main()

Python Machine Learning Unit Testing unittest Testing Framework

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