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adding SVC documentation references #12217

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adding SVC documentation references #12217

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21 changes: 21 additions & 0 deletions sklearn/svm/classes.py
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Expand Up @@ -553,6 +553,22 @@ class SVC(BaseSVC):
intercept_ : array, shape = [n_class * (n_class-1) / 2]
Constants in decision function.

fit_status_ : int
0 if correctly fitted,
1 otherwise (will raise warning)

probA_, probB_ : array, shape = [n_class * (n_class-1) / 2]

If probability=True, the parameters learned in Platt scaling to
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The indentation seems off. Also you can refer to the user guide that also explains that, though it's good to also mention the paper.

produce probability estimates from decision values. If
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.
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for more is repeated twice here


Examples
--------
>>> import numpy as np
Expand All @@ -578,6 +594,11 @@ class SVC(BaseSVC):
implemented using liblinear. Check the See also section of
LinearSVC for more comparison element.

References
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Shoud Platt (2000) be added as well? i.e. "Probabilistic outputs for support vector machines and comparison to regularizedlikelihood methods."

--------
[1] LIBSVM
A Library for Support Vector Machines
<http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf>
"""

_impl = 'c_svc'
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