2014-11-18 16:38 GMT+01:00 Chris Holdgraf <choldg...@berkeley.edu>:
> Sometimes this works, but sometimes it doesn't. For example, if I use
> LinearSVC as my model, then setting .coef_ works fine. However, if I use
> SVC(kernel='linear'), then I get an attribute error when I try to set any
> attribute.
>
> Can someone explain the inconsistency in behavior here? Is there a better
> way to do things like this in sklearn?
It's an implementation detail. In SVC, the coef is a computed property
that is not actually used for computing the decision function (so
changing it makes no difference in behavior). Quoting from the code:
# coef_ being a read-only property, it's better to mark the value as
# immutable to avoid hiding potential bugs for the unsuspecting user.
(sklearn/svm/base.py)
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