Same problem for SVR:
http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html
"Degree of kernel function is significant only in poly, rbf, sigmoid."
On Thu, Apr 23, 2015 at 3:53 AM Andy wrote:
> On 04/22/2015 06:06 PM, Artem wrote:
>
> Looks like a typo, indeed. Libsvm only uses
Hello,
I was wondering why there isn't a classic neural network implementation in
scikit-learn (a multilayer perceptron). This could have varying levels of
complexity: it could be hardcoded to just one hidden layer, allowing one to
specify the type of neurons in it (sigmoid, tanh, rectified linear
