TST Refactor common tests for set_output #27258
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lorentzenchr
approved these changes
Sep 10, 2023
sklearn/utils/estimator_checks.py
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| if "2darray" not in tags["X_types"] or tags["no_validation"]: | ||
| return | ||
| except ImportError: # pragma: no cover | ||
| raise SkipTest("pandas is not installed: not checking set output") |
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Suggested change
| raise SkipTest("pandas is not installed: not checking set output") | |
| raise SkipTest("pandas is not installed: not checking set_output") |
| def check_global_output_transform_pandas(name, transformer_orig): | ||
| """Check that setting globally the output of a transformer to pandas lead to the | ||
| right results.""" | ||
| def _check_set_output_transform_pandas_context(name, transformer_orig, context): |
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Do we need this function any more? It just calls _check_set_output_transform_dataframe.
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I like to have it because it configures callable such as is_supported_dataframe, etc. for the dataframe library:
_check_set_output_transform_dataframe(
name,
transformer_orig,
"pandas",
is_supported_dataframe=lambda X: isinstance(X, pd.DataFrame),
create_dataframe=lambda X, columns, index: pd.DataFrame(
X, columns=columns, copy=False, index=index
),
assert_frame_equal=pd.testing.assert_frame_equal,
context=context,
)The alternative is to repeat the code in check_set_output_transform_pandas and check_global_output_transform_pandas
Comment on lines
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to
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| def check_set_output_transform_pandas(name, transformer_orig): | ||
| _check_set_output_transform_pandas_context(name, transformer_orig, "local") |
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Same here, do we need it?
Answer can be yes as used in several places.
Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com>
|
We can close this PR @thomasjpfan? |
|
Yes, lets close. |
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Reference Issues/PRs
Related to #25896
What does this implement/fix? Explain your changes.
This PR
set_outputcommon tests to be more generic so it is easier to extend and support polars DataFrames.set_outputcommon tests so they can share code.