One hot encoding numpy

  labels = (np.arange(num_labels) == labels[:,None]).astype(np.float32)

Np one hot encoding

>>> a = np.array([1, 0, 3])
>>> b = np.zeros((a.size, a.max()+1))
>>> b[np.arange(a.size),a] = 1
>>> b
array([[ 0.,  1.,  0.,  0.],
       [ 1.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  1.]])

Source: stackoverflow.com

Similar codes

0 vote158 views1 answer
Add silence to the end of an MP3 python
Python
0 vote173 views1 answer
How to for loop length print in python
Python
5 votes158 views4 answers
How print 2 decimal in python
Python
0 vote150 views1 answer
Numpy timedelta object has no attribute days
Python
2 votes173 views3 answers
Django login required decorator
Python Django
2 votes140 views2 answers
.get python
Python
0 vote133 views1 answer
Sending email in django
Python
0 vote153 views1 answer
Install magic python 2
Python
0 vote141 views1 answer
56.5 to 57 in python
Python
32 votes195 views5 answers
Matplotlib install
Python