In [1]:

    

from sklearn import datasets as d
from sklearn.preprocessing import LabelBinarizer


    

In [2]:

    

iris = d.load_iris()
target = iris.target


    

In [3]:

    

label_binarizer = LabelBinarizer()


    

In [4]:

    

new_target = label_binarizer.fit_transform(target)


    

In [8]:

    

print target.shape
print new_target.shape


    

    




(150,)
(150, 3)

In [9]:

    

label_binarizer.classes_


    

    
Out[9]:





array([0, 1, 2])

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