Kernel SVMs

Classificatori lineari in Python

Michael (Mike) Gelbart

Instructor, The University of British Columbia

Transforming your features

$\textrm{transformed feature} =$

$ (\textrm{original feature})^2$

$\textrm{transformed feature} =$

$ (\textrm{original feature})^2$

$\textrm{transformed feature} =$

$ (\textrm{original feature})^2$

from sklearn.svm import SVC

svm = SVC(gamma=1)    # default is kernel="rbf"

from sklearn.svm import SVC

svm = SVC(gamma=0.01) # default is kernel="rbf"

from sklearn.svm import SVC

svm = SVC(gamma=2)    # default is kernel="rbf"

Classificatori lineari in Python