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Update Woodwork to 0.0.10 #1900

merged 3 commits into from Feb 26, 2021

Update Woodwork to 0.0.10 #1900

merged 3 commits into from Feb 26, 2021


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@angela97lin angela97lin commented Feb 25, 2021

Closes #1899

Changes made in 0.0.10 to mutual_information (alteryx/woodwork#563) s.t. columns which have completely unique values are no longer considered. Hence, had to tweak some of our tests so that the return values were as expected.

@angela97lin angela97lin self-assigned this Feb 25, 2021
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codecov bot commented Feb 26, 2021

Codecov Report

Merging #1900 (bbf68e7) into main (7b400c8) will not change coverage.
The diff coverage is 100.0%.

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@@           Coverage Diff           @@
##             main    #1900   +/-   ##
  Coverage   100.0%   100.0%           
  Files         263      263           
  Lines       21300    21299    -1     
- Hits        21294    21293    -1     
  Misses          6        6           
Impacted Files Coverage Δ
evalml/data_checks/ 100.0% <ø> (ø)
evalml/tests/data_checks_tests/ 100.0% <100.0%> (ø)
..._checks_tests/ 100.0% <100.0%> (ø)
...ata_checks_tests/ 100.0% <100.0%> (ø)

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@angela97lin angela97lin marked this pull request as ready for review February 26, 2021 19:38
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@angela97lin angela97lin merged commit 1d50f96 into main Feb 26, 2021
@angela97lin angela97lin deleted the 1899_ww branch February 26, 2021 21:26
... 'x': [42, 54, 12, 64, 12],
... 'y': [13, 5, 13, 74, 24],
... })
>>> y = pd.Series([10, 42, 31, 51, 40])
>>> y = pd.Series([10, 42, 31, 51, 42])
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I saw your comment about how woodwork will not calculate mutual information if one of the columns has all unique values. I guess that means that the mutual information is 0 in that case.

Does this mean we should update the DefaultDataChecks to use method='pearson' for regression? Columns can still be 95% correlated with the target if the target is all unique.

@angela97lin angela97lin added this to the Sprint 2021 Feb B milestone Mar 4, 2021
@dsherry dsherry mentioned this pull request Mar 11, 2021
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Update Woodwork to 0.0.10
3 participants