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Unpinned sktime version (#4214)
* unpin sktime * update release documentation * remove an arima regressor test * Pinned pandas * Rm cap * Updated release notes * Updated meta.yaml --------- Co-authored-by: christopherbunn <[email protected]>
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.github/meta.yaml

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@@ -25,7 +25,7 @@ outputs:
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- setuptools ==58.0.4
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run:
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- numpy >=1.21.0
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- pandas >=1.5.0
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- pandas >=1.5.0, <2.0.0
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- dask >=2022.2.0, !=2022.10.1
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- scipy >=1.5.0
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- scikit-learn >=1.2.2
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- lime >=0.2.0.1
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- python >=3.8.*
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- imbalanced-learn >=0.9.1, <0.11.0
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- sktime ==0.17.0
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- sktime >=0.17.0
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- pmdarima >=1.8.5
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- vowpalwabbit >=8.11.0
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test:

core-requirements.txt

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numpy>=1.21.0
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pandas>=1.5.0
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pandas>=1.5.0, <2.0.0
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scipy>=1.5.0
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scikit-learn>=1.2.1
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scikit-optimize>=0.9.0

docs/source/release_notes.rst

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* Enhancements
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* Fixes
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* Changes
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* Unpinned sktime version :pr:`4214`
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* Documentation Changes
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* Testing Changes
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evalml/tests/component_tests/test_arima_regressor.py

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[
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(True, False, False, False, False, False),
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(False, True, True, False, False, True),
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(False, True, True, False, False, False),
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],
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)
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def test_fit_predict(

evalml/tests/dependency_update_check/latest_dependency_versions.txt

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scipy==1.10.1
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seaborn==0.12.2
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shap==0.42.0
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sktime==0.17.0
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sktime==0.20.0
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statsmodels==0.14.0
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texttable==1.6.7
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tomli==2.0.1

pyproject.toml

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requires-python = ">=3.8,<4"
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dependencies = [
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"numpy >= 1.21.0",
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"pandas >= 1.5.0",
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"pandas >= 1.5.0, <2.0.0",
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"scipy >= 1.5.0",
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"scikit-learn >= 1.2.2",
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"scikit-optimize >= 0.9.0",
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"category-encoders >= 2.2.2, <= 2.5.1.post0",
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"imbalanced-learn >= 0.9.1, <0.11.0",
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"pmdarima >= 1.8.5",
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"sktime == 0.17.0",
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"sktime >= 0.17.0",
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"lime >= 0.2.0.1",
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"vowpalwabbit >= 8.11.0",
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"tomli >= 2.0.1",

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