python實現簡單的SVM

# -*- coding: utf-8 -*-
from sklearn.svm import SVC
import numpy as np
print(X.shape,Y.shape)
X = np.random.random((10,5)) #訓練數據
Y = np.array([1,0,1,0,1,0,1,0,1,0]) #訓練標簽
T = np.random.random((20,5)) #預測數據
print(X.shape,Y.shape)
svc=SVC(kernel='poly',degree=3,gamma=1,coef0=0) #注意函數參數說明
svc.fit(X,Y)
pre=svc.predict(T)
print(X.shape,Y.shape)
print(pre)