核SVM
Python 中的线性分类器
Michael (Mike) Gelbart
Instructor, The University of British Columbia
特征变换
特征变换
特征变换
$\textrm{transformed feature} =$
$ (\textrm{original feature})^2$
特征变换
$\textrm{transformed feature} =$
$ (\textrm{original feature})^2$
特征变换
$\textrm{transformed feature} =$
$ (\textrm{original feature})^2$
核SVM
from sklearn.svm import SVC
svm = SVC(gamma=1) # default is kernel="rbf"
核SVM
from sklearn.svm import SVC
svm = SVC(gamma=0.01) # default is kernel="rbf"
- 更小的
gamma会得到更平滑的边界
核SVM
from sklearn.svm import SVC
svm = SVC(gamma=2) # default is kernel="rbf"
- 更大的
gamma会得到更复杂的边界
