8000 MRG: Explicitly mark the array returned by the linear svm readonly property coef_ as immutable by ogrisel · Pull Request #541 · scikit-learn/scikit-learn · GitHub
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MRG: Explicitly mark the array returned by the linear svm readonly property coef_ as immutable #541

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Merged
merged 5 commits into from
Jan 7, 2012
Merged

MRG: Explicitly mark the array returned by the linear svm readonly property coef_ as immutable #541

merged 5 commits into from
Jan 7, 2012

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ogrisel
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@ogrisel ogrisel commented Jan 7, 2012

This pull-request #539 should be taken into account to understand the context about the debate of readonly properties in the scikit-learn API.

This pull request is also related to issue #470 LogisticRegression and LinearSVC should have read-write coef_ and intercept_ attributes (it does not fix it but makes it a less dangerous behavior).

The following is an example session were the unsuspecting user might overlook a bug:

>>> from sklearn.svm import SVC
>>> from sklearn.datasets import load_iris
>>> iris = load_iris()
>>> clf = SVC(kernel='linear').fit(iris.data, iris.target)
>>> clf.coef_

array([[-1.0443518 ,  0.01195155, -1.91966087, -0.81040704],
       [ 1.5863679 ,  1.66207276, -1.65274791, -1.95241805]])
>>> clf.coef_[0, 3] = 0
>>> clf.coef_

array([[-1.0443518 ,  0.01195155, -1.91966087, -0.81040704],
       [ 1.5863679 ,  1.66207276, -1.65274791, -1.95241805]])

@pprett
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pprett commented Jan 7, 2012

looks good to me - this will spare us some effort on the mailing list :-) - I'm +1 for merge

@amueller
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amueller commented Jan 7, 2012

Didn't test but looks good. +1 for merge

GaelVaroquaux
GaelVaroquaux reviewed Jan 7, 2012
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ret *= -1 avoid a copy.

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Good catch.

@GaelVaroquaux
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Appart from the inline comment, I am +1 for a merge

ogrisel added a commit that referenced this pull request Jan 7, 2012
@ogrisel
Merge pull request #541 from ogrisel/immutable-readonly-coef
26632b6 
MRG: Explicitly mark the array returned by the linear svm readonly property coef_ as immutable
@ogrisel ogrisel merged commit 26632b6 into scikit-learn:master Jan 7, 2012
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4 participants

@ogrisel @pprett @amueller @GaelVaroquaux
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