Press "Enter" to skip to content

svm.SVC In sklearn

# import svm from sklearn
from sklearn import svm
# 创建训练集
X = [[0, 0], [1, 1]]
Y = [0, 1]
# 创建SVC分类器
clf = svm.SVC(kernel = 'linear')
# 对训练数据进行拟合
clf.fit(X, Y)
# 进行预测, 输出结果
print(clf.predict([[2, 2]]))

run it

➜ test ✗ python3 svm.py
[1]

Be First to Comment

Leave a Reply

Your email address will not be published. Required fields are marked *