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For models that are in the ensemble but have no corresponding entry in model_runs (built from run_history), we fill in NA values to prevent crashing.

Why this occurs, I don't know but this should at least prevent total failure when we can still provide other useful information back to the user.

For models that are in the ensemble but have no corresponding entry in
model_runs (built from run_history), we fill in NA values to prevent
crashing. Why this occurs, I don't know but this should at least prevent
total failure when we can still provide other useful information back to
the user.
@eddiebergman eddiebergman linked an issue Mar 25, 2022 that may be closed by this pull request
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codecov bot commented Mar 25, 2022

Codecov Report

Merging #1432 (9f6cd3b) into development (23bfdf8) will decrease coverage by 0.02%.
The diff coverage is 0.00%.

@@               Coverage Diff               @@
##           development    #1432      +/-   ##
===============================================
- Coverage        84.46%   84.44%   -0.03%     
===============================================
  Files              147      147              
  Lines            11293    11295       +2     
  Branches          1924     1925       +1     
===============================================
- Hits              9539     9538       -1     
  Misses            1245     1245              
- Partials           509      512       +3     

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@eddiebergman eddiebergman merged commit 165f78e into development Mar 26, 2022
github-actions bot pushed a commit that referenced this pull request Mar 26, 2022
@eddiebergman eddiebergman deleted the failsafe_leaderboard branch April 21, 2022 10:35
eddiebergman added a commit that referenced this pull request Aug 18, 2022
For models that are in the ensemble but have no corresponding entry in
model_runs (built from run_history), we fill in NA values to prevent
crashing. Why this occurs, I don't know but this should at least prevent
total failure when we can still provide other useful information back to
the user.
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Calling automl.leaderboard() cause error

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