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Unpinned sktime version #4214

Merged
merged 7 commits into from
Jul 11, 2023
Merged

Unpinned sktime version #4214

merged 7 commits into from
Jul 11, 2023

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remyogasawara
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@remyogasawara remyogasawara commented Jun 27, 2023 •
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Resolves: #4138

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CLAassistant commented Jun 27, 2023 •
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codecov bot commented Jun 27, 2023 •
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Codecov Report

Merging #4214 (5801390) into main (6e82a80) will not change coverage.
The diff coverage is n/a.

@@          Coverage Diff          @@
##            main   #4214   +/-   ##
=====================================
  Coverage   99.7%   99.7%           
=====================================
  Files        349     349           
  Lines      38294   38294           
=====================================
  Hits       38174   38174           
  Misses       120     120
Impacted Files Coverage Δ
...alml/tests/component_tests/test_arima_regressor.py 100.0% <ø> (ø)

@remyogasawara remyogasawara changed the title unpin sktime Unpin sktime Jun 27, 2023
@remyogasawara remyogasawara marked this pull request as draft June 27, 2023 05:58
remyogasawara
remyogasawara commented Jun 28, 2023
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evalml/tests/component_tests/test_arima_regressor.py
@@ -203,7 +203,6 @@ def test_feature_importance(ts_data):
[
(True, False, False, False, False, False),
(False, True, True, False, False, True),
(False, True, True, False, False, False),
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We deleted this test case because sktime depreciated integer indexes

@remyogasawara remyogasawara marked this pull request as ready for review June 28, 2023 19:20
@christopherbunn
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christopherbunn commented Jun 28, 2023 •
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Might need to be addressed in either this PR or another one but I think we also need to cap the pandas version for conda for now. Here's a passing build with 1.5.3 while this build fails with 2.0.2.

We can cap pandas in the EvalML repo or in the Conda recipe on this line.

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Might need to be addressed in either this PR or another one but I think we also need to cap the pandas version for conda for now. Here's a passing build with 1.5.3 while this build fails with 2.0.2.

We can cap pandas in the EvalML repo or in the Conda recipe on this line.

Its only passing in the other tests because pandas-1.5.3 is being installed. I think theres a difference in dependency resolution between pip and conda. I think we should just bump pandas to be > 2.0.0 and change the append calls we have to to use concat instead! What do you think @christopherbunn @remyogasawara

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@jeremyliweishih I agree that we should bump it up, but I think we should it in a follow up issue. It would keep the pandas 2.0 work separate from this PR. Should we open another PR for the pandas fixes only, merge that in, then rebase and get this in?

@christopherbunn christopherbunn changed the title Unpin sktime Unpinned sktime version Jul 11, 2023
@christopherbunn christopherbunn enabled auto-merge (squash) July 11, 2023 18:19
jeremyliweishih
jeremyliweishih approved these changes Jul 11, 2023
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.github/meta.yaml
@@ -25,7 +25,7 @@ outputs:
- setuptools ==58.0.4
run:
- numpy >=1.21.0
- pandas >=1.5.0
- pandas >=1.5.0, <2.0.0
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Can you file an issue to unpin if we don't already have one?

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Do mention that we were not supporting it before as pip would not install > 2.0

@christopherbunn christopherbunn merged commit 2481ed1 into main Jul 11, 2023
@christopherbunn christopherbunn deleted the 4138_unpin_sktime branch July 11, 2023 18:20
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@jeremyliweishih jeremyliweishih jeremyliweishih approved these changes

@christopherbunn christopherbunn christopherbunn approved these changes

@fjlanasa fjlanasa Awaiting requested review from fjlanasa

@eccabay eccabay Awaiting requested review from eccabay

@chukarsten chukarsten Awaiting requested review from chukarsten

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Unpin sktime
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@remyogasawara @CLAassistant @christopherbunn @jeremyliweishih