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Added example to sklearn.svm.NuSVC #26972

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Added example to sklearn.svm.NuSVC #26972

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Added example to sklearn.svm.NuSVC
TheCheshireCat6 Aug 1, 2023
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TheCheshireCat6 Aug 1, 2023
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Merge branch 'main' into sklworkshop
TheCheshireCat6 Aug 1, 2023
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TheCheshireCat6 Aug 1, 2023
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Merge remote-tracking branch 'refs/remotes/origin/sklworkshop' into s…
TheCheshireCat6 Aug 1, 2023
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3 changes: 3 additions & 0 deletions sklearn/svm/_classes.py
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Expand Up @@ -1086,6 +1086,9 @@ class NuSVC(BaseSVC):
Pipeline(steps=[('standardscaler', StandardScaler()), ('nusvc', NuSVC())])
>>> print(clf.predict([[-0.8, -1]]))
[1]

See :ref:`sphx_glr_auto_examples_svm_plot_svm_nonlinear.py`
for a more detailed example.
Comment on lines +1090 to +1091
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I think plot_svm_nonlinear.py could also be removed, we have the other example that @StefanieSenger is working on which nicely includes non linear kernels. WDYT @glemaitre

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@glemaitre glemaitre Aug 11, 2023 •
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It is true. Here, this is the typical XOR example. We should probably have this example for all classifiers but not specifically for the SVM.

"""

_impl = "nu_svc"
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