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.]])
Source: scikit-learn.org
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]])