fix: adds np.random.seed(0) to test_preprocessing.py to ensure determ…

…inistic behavior

Description of changes: test_log_extreme_value_transformer uses numpy arrays generated by np.random. The array 5 * np.random.random((100, 1)) + 20 is not supposed to have extreme values as defined by LogExtremeValuesTransformer(threshold_std=2.0). However, the use of np.random makes this test indeterministic. For example, with np.seed(69) the array has extreme values and the test fails. The addition of np.random.seed(0) ensures deterministic behavior in this test.

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aws / sagemaker-scikit-learn-extension

fix: adds np.random.seed(0) to test_preprocessing.py to ensure determ… #2

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