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Evaluate and work on skipped tests #21
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tests
Unit and integration tests for code
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riley-harper
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model_exploration_test.test_step_3_get_feature_importances_random_forest is covered by tests for training step 3 in training_test.py.
riley-harper
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This tests Training step 3 with a probit model instead of a random forest model. Probit models save coefficients, not feature importances.
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riley-harper
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This required some heavy refactoring. I think that this test was really old. The new checks are very similar to the checks in the old test.
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Reading the comment at the top of this test, I went looking for something that directly replaced the "secondary_threshold" matching attribute. I couldn't find anything that looked closely related. So let's just remove this test.
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There are 4 skipped tests at the time of writing. Let's evaluate why they're skipped and see if we can fix them up and get them to run.
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