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Merged
merged 4 commits into from
Dec 15, 2022
Merged

Use check_array to validate y #25089

merged 4 commits into from
Dec 15, 2022

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betatim
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@betatim betatim commented Dec 1, 2022 •
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Reference Issues/PRs

closes #25073 (more precisely this PR combined with #25080 closes it)

What does this implement/fix? Explain your changes.

Uses check_array in _check_y so that we get the same behaviour for converting pandas special data types (that can represent missing values) like Int64 as for X. This is done in the part of the code around pandas_requires_conversion.

Is this what you had in mind?

cc @glemaitre

@adrinjalali
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Would this hack still work after this change?

https://stackoverflow.com/questions/49581104/sklearn-gridsearchcv-not-using-sample-weight-in-score-function/49598597#49598597

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betatim commented Dec 2, 2022

I've not tried to run the code from the SO answer, so technically "I don't know". From a quick read of the code it seems that it relies on the y being passed around as a data frame so that it can extract indices from it and then use those to index the sample weights.

From a super high level view, this change replaces a y = np.asarray(y) with y = check_array(y). So I assume that the SO answer should still work. Because np.asarray() would also remove the "data frame-ness".

jjerphan
jjerphan reviewed Dec 5, 2022
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sklearn/utils/validation.py Outdated
Comment on lines 1170 to 1172
y = check_array(
y, ensure_2d=False, dtype=dtype, input_name="y", force_all_finite=False
)
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The CI jobs fail because some tests have y be one-element arrays.

One solution is to adapt check_array regarding

scikit-learn/sklearn/utils/validation.py

Lines 926 to 933 in cbfb6ab

if ensure_min_samples > 0:
n_samples = _num_samples(array)
if n_samples < ensure_min_samples:
raise ValueError(
"Found array with %d sample(s) (shape=%s) while a"
" minimum of %d is required%s."
% (n_samples, array.shape, ensure_min_samples, context)
)

probably by:

  • changing the default value of ensure_min_samples to 0
  • changing the check for ensure_min_samples > 1

Alternatively, we can change this call to:

Suggested change
y = check_array(
y, ensure_2d=False, dtype=dtype, input_name="y", force_all_finite=False
)
y = check_array(
y,
ensure_2d=False,
ensure_min_samples=0,
dtype=dtype,
input_name="y",
force_all_finite=False,
)

The first proposal is more sensible to me while probably necessitating more changes and adaptation in cascade whilst the second proposal is relatively simple but probably semantically not always correct.

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For example one test test_classification_report_output_dict_empty_input checks that you can call classification_report with [] for both y_true and y_pred. So I think we need to allow ensure_min_samples=0.

jjerphan
jjerphan approved these changes Dec 15, 2022
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LGTM given that tests pass.

@jjerphan jjerphan enabled auto-merge (squash) December 15, 2022 13:54
@jjerphan jjerphan merged commit a0829ac into scikit-learn:main Dec 15, 2022
jjerphan pushed a commit to jjerphan/scikit-learn that referenced this pull request Jan 3, 2023
@betatim @jjerphan
Use check_array to validate y (scikit-learn#25089)
3242578 
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
closes scikit-learn#25073
@ogrisel ogrisel added this to the 1.2.1 milestone Jan 19, 2023
jjerphan pushed a commit to jjerphan/scikit-learn that referenced this pull request Jan 20, 2023
@betatim @jjerphan
Use check_array to validate y (scikit-learn#25089)
b559fd3 
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
closes scikit-learn#25073
jjerphan pushed a commit to jjerphan/scikit-learn that referenced this pull request Jan 20, 2023
@betatim @jjerphan
Use check_array to validate y (scikit-learn#25089)
c84b0ca 
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
closes scikit-learn#25073
jjerphan added a commit to jjerphan/scikit-learn that referenced this pull request Jan 20, 2023
@jjerphan
DOC Move changelog entry for scikit-learn#25089
996eefa
jjerphan pushed a commit to jjerphan/scikit-learn that referenced this pull request Jan 23, 2023
@betatim @jjerphan
Use check_array to validate y (scikit-learn#25089)
2d3047b 
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
closes scikit-learn#25073
adrinjalali pushed a commit that referenced this pull request Jan 24, 2023
@betatim @adrinjalali
Use check_array to validate y (#25089)
3995b33 
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
closes #25073
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@jjerphan jjerphan jjerphan approved these changes

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ValueError: "Unknown label type: 'unknown'" when class column has Pandas type like Int64
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