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[MRG] DOC: Fix unusual phrasing in svm.SVC #13774

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May 4, 2019
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[MRG] DOC: Fix unusual phrasing in svm.SVC #13774

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8 changes: 4 additions & 4 deletions sklearn/svm/classes.py
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Expand Up @@ -429,10 +429,10 @@ def fit(self, X, y, sample_weight=None):
class SVC(BaseSVC):
"""C-Support Vector Classification.

The implementation is based on libsvm. The fit time complexity
is more than quadratic with the number of samples which makes it hard
to scale to datasets with more than a couple of 10000 samples. For large
datasets consider using :class:`sklearn.linear_model.LinearSVC` or
The implementation is based on libsvm. The fit time scales at least
quadratically with the number of samples and may be impractical
beyond tens of thousands of samples. For large datasets
consider using :class:`sklearn.linear_model.LinearSVC` or
:class:`sklearn.linear_model.SGDClassifier` instead, possibly after a
:class:`sklearn.kernel_approximation.Nystroem` transformer.

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