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Evaluate and work on skipped tests #21

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riley-harper opened this issue Aug 2, 2022 · 0 comments · Fixed by #139
Closed

Evaluate and work on skipped tests #21

riley-harper opened this issue Aug 2, 2022 · 0 comments · Fixed by #139
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tests Unit and integration tests for code

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@riley-harper
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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.

@riley-harper riley-harper added the tests Unit and integration tests for code label Aug 2, 2022
riley-harper added a commit that referenced this issue Jun 18, 2024
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 added a commit that referenced this issue Jun 18, 2024
This tests Training step 3 with a probit model instead of a random forest
model. Probit models save coefficients, not feature importances.
riley-harper added a commit that referenced this issue Jun 18, 2024
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.
riley-harper added a commit that referenced this issue Jun 18, 2024
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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