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Merged
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Jan 13, 2019
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[MRG] Documentation/svc documentation references #12859

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9ae63b9
adding SVC documentation references
cynco Sep 29, 2018
c09c1f5
Add reference, fix indentation and typo.
tashay Dec 24, 2018
61cb183
Update classes.py
tashay Dec 24, 2018
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Linting.
tashay Dec 24, 2018
3aa39aa
Docs formatting, test pass.
tashay Dec 24, 2018
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Remove empty lines.:
tashay Dec 24, 2018
8c7f6da
Extend line under references.
tashay Dec 24, 2018
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Apply suggestions from code review
NicolasHug Jan 5, 2019
00119da
Cite reference 2.
tashay Jan 10, 2019
42b9f1e
Update classes.py
tashay Jan 10, 2019
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20 changes: 11 additions & 9 deletions sklearn/svm/classes.py
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Expand Up @@ -563,10 +563,9 @@ class SVC(BaseSVC):
probability=False, an empty array. Platt scaling uses the logistic
function
``1 / (1 + exp(decision_value * probA_ + probB_))``
where ``probA_`` and ``probB_`` are learned from the dataset. For more
information on the multiclass case and training procedure see section
8 of LIBSVM: A Library for Support Vector Machines (in References)
for more.
where ``probA_`` and ``probB_`` are learned from the dataset [2]_. For
more information on the multiclass case and training procedure see
section 8 of [1]_.

Examples
--------
Expand All @@ -593,11 +592,14 @@ class SVC(BaseSVC):
implemented using liblinear. Check the See also section of
LinearSVC for more comparison element.

Notes
-----
**References:**
`LIBSVM: A Library for Support Vector Machines
<http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf>`__
References
----------
.. [1] `LIBSVM: A Library for Support Vector Machines
<http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf>`_

.. [2] `Platt, John (1999). "Probabilistic outputs for support vector
machines and comparison to regularizedlikelihood methods."
<http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.1639>`_
"""

_impl = 'c_svc'
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