support vector machine sklearn code example

Example 1: scikit learn svm

from sklearn import svm
X = [[0, 0], [1, 1]]
y = [0, 1]
clf = svm.SVC()
clf.fit(X, y)
clf.predict([[2., 2.]])

Example 2: sklearn support vector machine

from sklearn import svm
X = [[0, 0], [2, 2]]
y = [0.5, 2.5]
regr = svm.SVR()
regr.fit(X, y)

regr.predict([[1, 1]])

Example 3: support vector machine svm using python numerical example

print(digits.data)