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Suppress UndefinedMetric Warning for F1/precision/recall #671

merged 8 commits into from Apr 17, 2020


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@dsherry dsherry commented Apr 17, 2020

Fix #436 , builds off #588 .

These warnings occur when the denominator in the computation of these quantities is 0. In that case we should just return 0 F1/precision/recall and not warn. Sklearn by default returns 0 but also warns.

@dsherry dsherry force-pushed the ds_436_suppress_undefinedmetric branch from 11341f5 to 3494584 Compare Apr 17, 2020
@@ -47,15 +47,14 @@ def objective_function(self, y_predicted, y_true, X=None):
return metrics.balanced_accuracy_score(y_true, y_predicted)

# todo does this need tuning?
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@dsherry dsherry Apr 17, 2020

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Not directly related to this PR but I just noticed this and thought it should be deleted. FYI @kmax12

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codecov bot commented Apr 17, 2020

Codecov Report

Merging #671 into master will increase coverage by 0.01%.
The diff coverage is 100.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #671      +/-   ##
+ Coverage   99.04%   99.05%   +0.01%     
  Files         139      139              
  Lines        4810     4882      +72     
+ Hits         4764     4836      +72     
  Misses         46       46              
Impacted Files Coverage Δ
evalml/objectives/ 99.54% <100.00%> (ø)
...lml/tests/objective_tests/ 100.00% <100.00%> (ø)

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@dsherry dsherry marked this pull request as ready for review Apr 17, 2020
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@angela97lin angela97lin left a comment

LGTM, though I see there are a lot of tests for standard metrics added (yay!) for accuracy as well; are those intentionally in this PR since you're adding other tests anyways?

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@jeremyliweishih jeremyliweishih left a comment


@dsherry dsherry merged commit 1273b44 into master Apr 17, 2020
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@dsherry dsherry deleted the ds_436_suppress_undefinedmetric branch Apr 17, 2020
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dsherry commented Apr 17, 2020

@angela97lin yep! I added more test coverage for the objectives affected by this PR. I hope we can follow this pattern with all the objectives we add eventually.

@dsherry dsherry mentioned this pull request Apr 17, 2020
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Suppress sklearn UndefinedMetric warning from stdout (F1 score)
4 participants