from sklearn import datasets as DS
iris = DS.load_iris()
from sklearn import svm
clf = svm.SVC()
clf.fit(iris.data, iris.target)
clf.predict(iris.data[25])
clf.predict(iris.data[75])
clf.predict(iris.data[125])
How to integrate all the classifiers for multilabel svm classification