Add handling sklearn version in OneHotEncoderTransform and HierarchicalClustering
#529
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…rchicalClustering
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## master #529 +/- ##
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- Coverage 90.38% 90.36% -0.03%
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Files 256 256
Lines 17292 17303 +11
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+ Hits 15630 15635 +5
- Misses 1662 1668 +6 ☔ View full report in Codecov by Sentry. |
poetry.lock
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| @@ -4740,6 +4740,41 @@ docs = ["Pillow (>=7.1.2)", "matplotlib (>=2.2.3)", "memory-profiler (>=0.57.0)" | |||
| examples = ["matplotlib (>=2.2.3)", "pandas (>=0.25.0)", "scikit-image (>=0.14.5)", "seaborn (>=0.9.0)"] | |||
| tests = ["black (>=21.6b0)", "flake8 (>=3.8.2)", "matplotlib (>=2.2.3)", "mypy (>=0.770)", "pandas (>=0.25.0)", "pyamg (>=4.0.0)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.14.5)"] | |||
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I can't understand why poetry is doing this with scipy and statsmodels...
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This happenned when I ran poetry update scikit-learn.
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The strange thing is that it added two versions of scipy here. But in a current master we have two versions of statsmodels.
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I have a suspicion that it uses two different versions for different python versions. I'll probably revert update in lock in this PR.
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Why do you run poetry update scikit-learn?
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Changelog? |
Before submitting (must do checklist)
Proposed Changes
Add workaroud for working in sklearn >= 1.4.
Closing issues
Closes #497 and #516