Fix elasticnect cv sample weight #29442
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It seems like this single call to _preprocess_data suffices in all cases.
This tiny example was given in scikit-learn#22914. The test merely asserts that alpha_max is large enough to force the coefficient to 0.
As per reviewer's suggestions: (1) Clarify eps=1. (2) Parameterize `fit_intercept`.
(1) Give the name `n_samples` to the quantity `X.shape[0]`. (2) Clarify that `y_offset` and `X_scale` are not used, since these are already applied to the data by `_preprocess_data`.
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
…ied alpha_grid_ to accommodate for MultitaskCV y shape
…ear_model/tests/test_coordinate_descent/test_enet_cv_sample_weight_correctness
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test_enet_cv_sample_weight_correctness
ogrisel
reviewed
Aug 21, 2024
test_lasso_cv test_enet_alpha_max_sample_weight test_enet_cv_sample_weight_correctness
ogrisel
approved these changes
Sep 4, 2024
|
Similarly to def _more_tags(self):
# Note: check_sample_weights_invariance(kind='ones') should work, but
# currently we can only mark a whole test as xfail.
return {
"_xfail_checks": {
"check_sample_weights_invariance": (
"zero sample_weight is not equivalent to removing samples"
),
}
}but this cannot be removed without changing |
54 tasks
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
|
@snath-xoc I pushed a quick fix for the linting problem that resulted from the merge of one of my github-edited suggestion. The following comment still need be addressed before final review / merge: |
jeremiedbb
reviewed
Sep 6, 2024
ogrisel
reviewed
Sep 6, 2024
|
@snath-xoc for information I pushed 2b99c9b to address the remaining unaddressed review comment (#29442 (comment)). This PR LGTM. |
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Ooops, I did not re-run the test with all admissible random seeds... Let me fix this. |
jeremiedbb
reviewed
Sep 9, 2024
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MarcBresson
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to MarcBresson/scikit-learn
that referenced
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Sep 19, 2024
Co-authored-by: Mr. Snrub <45150804+s-banach@users.noreply.github.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Shruti Nath <shrutinath@Shrutis-Laptop.local>
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Fixes #22914
What does this implement/fix? Explain your changes.
Adapted from the pull request #23045 by s-banach and #29308 from snath-xoc
Modifies _alpha_grid function in linear_model._coordinate_descent to accept a sample_weight argument and implements changes to be compatible with _preprocess_data
TODO