8000 TST Extend tests for `scipy.sparse.*array` in `test_polynomial.py` by work-mohit · Pull Request #27166 · scikit-learn/scikit-learn · GitHub
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TST Extend tests for scipy.sparse.*array in test_polynomial.py #27166

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Merged
merged 10 commits into from
Sep 29, 2023
Merged

TST Extend tests for scipy.sparse.*array in test_polynomial.py #27166

merged 10 commits into from
Sep 29, 2023

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work-mohit
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Towards #27090

What does this implement/fix? Explain your changes.

Extended the test cases for the test_polynomial.py file. All tests run smoothly except two:

FAILED sklearn/preprocessing/tests/test_polynomial.py::test_polynomial_features_csc_X[csc_array-4-False-False-float64] - NotImplementedError: We have not yet implemented 1D sparse slices; please index using explicit indices, e.g. x[:, [0]]

FAILED sklearn/preprocessing/tests/test_polynomial.py::test_polynomial_features_csc_X[csc_array-4-False-True-float64] - NotImplementedError: We have not yet implemented 1D sparse slices; please index using explicit indices, e.g. x[:, [0]]

Any other comments?

I've already tried .A to .toarray() for csr_arrays but got nothing, the same errors keep coming. Maybe there is another source of error, unable to find it. Feel free to drop your review.

     test_polynomial_features_csc_X[csc_array-4-False-True-float64] 

deg = 4, include_bias = False, interaction_only = True, dtype = <class 'numpy.float64'>, csc_container = <class 'scipy.sparse._csc.csc_array'>

    @pytest.mark.parametrize(
        ["deg", "include_bias", "interaction_only", "dtype"],
        [
            (1, True, False, int),
            (2, True, False, int),
            (2, True, False, np.float32),
            (2, True, False, np.float64),
            (3, False, False, np.float64),
            (3, False, True, np.float64),
            (4, False, False, np.float64),
            (4, False, True, np.float64),
        ],
    )
    @pytest.mark.parametrize("csc_container", CSC_CONTAINERS)
    def test_polynomial_features_csc_X(
        deg, include_bias, interaction_only, dtype, csc_container
    ):
        rng = np.random.RandomState(0)
        X = rng.randint(0, 2, (100, 2))
        X_csc = csc_container(X)

        est = PolynomialFeatures(
            deg, include_bias=include_bias, interaction_only=interaction_only
        )
>       Xt_csc = est.fit_transform(X_csc.astype(dtype))    <<<<<<< At this line

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github-actions bot commented Aug 25, 2023 •
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✔️ Linting Passed

All linting checks passed. Your pull request is in excellent shape! ☀️

Generated for commit: 9cb2f99. Link to the linter CI: here

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ogrisel commented Aug 25, 2023 •
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It's important to look at the full traceback in the CI report to understand what causes the exception raised at the bottom of the traceback.

Here if you walk up the traceback, you will see that the code in scikit-learn causing this error is:

https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=58339&view=logs&j=7d13af21-9cb9-5d40-483b-ea0f074409c6&t=97bcaf17-ac30-535a-f717-a6f6663c5884&l=1378

../1/s/sklearn/preprocessing/_polynomial.py:498: in transform
    out_col = X[:, col_idx].multiply(out_col)

and the message of the exception is:

NotImplementedError: We have not yet implemented 1D sparse slices; please index using explicit indices, e.g. `x[:, [0]]`

which suggest a potential fix to make the code in scikit-learn compatible with the new sparse arrays:

    out_col = X[:, [col_idx]].multiply(out_col)

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ogrisel commented Aug 25, 2023

By the way that means that this PR will not just be about updating the tests but actually about fixing something in scikit-learn to add compatibility to the new scipy sparse arrays.

Therefore, this PR will need an entry in the changelog (doc/whats_new/v1.4.rst). Take example on the existing entry for #27100 that changed the code used by the NMF estimators.

@jjerphan jjerphan mentioned this pull request Aug 25, 2023
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@jjerphan jjerphan changed the title Extended the test cases of test_polynomial.py TST Extend tests for scipy.sparse.*array in test_polynomial.py Aug 25, 2023
@work-mohit
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@ogrisel Have a look on this PR. Let me know if any updates required. Double check the change log file. Thanks !

ogrisel
ogrisel approved these changes Sep 11, 2023
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LGTM, thanks for the fix @work-mohit!

@ogrisel ogrisel added the Waiting for Second Reviewer First reviewer is done, need a second one! label Sep 11, 2023
@work-mohit work-mohit requested a review from ogrisel September 12, 2023 11:15
@glemaitre glemaitre self-requested a review September 29, 2023 20:49
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glemaitre approved these changes Sep 29, 2023
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LGTM as well. Merging if the CIs turns green.
B581

@glemaitre glemaitre enabled auto-merge (squash) September 29, 2023 20:59
@glemaitre glemaitre merged commit 9f6592f into scikit-learn:main Sep 29, 2023
@work-mohit work-mohit deleted the fix/preprocessing/tests/test_polynomial.py branch September 30, 2023 06:19
REDVM pushed a commit to REDVM/scikit-learn that referenced this pull request Nov 16, 2023
@work-mohit @glemaitre @REDVM
TST Extend tests for scipy.sparse.*array in test_polynomial.py (s…
fa1d273 
…cikit-learn#27166)

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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@glemaitre glemaitre glemaitre approved these changes

@ogrisel ogrisel Awaiting requested review from ogrisel

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