SVM

import numpy  as np
import  matplotlib.pyplot  as plt

from sklearn import  datasets
iris = datasets.load_iris()

X = iris.data
y = iris.target

X  = X[y<2,:2]
#print(X)
y =  y[y<2]

plt.scatter(X[y==0,0],X[y==0,1],color ='red')
plt.scatter(X[y==1,0],X[y==1,1],color ='blue')
plt.show()

from sklearn.preprocessing import  StandardScaler


standardScaler  = StandardScaler()
standardScaler.fit(X)

X_standard = standardScaler.transform(X)

from  sklearn.svm import  LinearSVC

svc  =LinearSVC(C=1e9)
svc.fit(X_standard,y)

转载于:https://www.cnblogs.com/heguoxiu/p/10135625.html