Np one hot encoding

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 vote272 views1 answer
Install models python
Python
0 vote278 views1 answer
Python array sorting
Python
0 vote267 views8 answers
Empaquetado y manejo dependencias en python
Python
6 votes323 views2 answers
Docker flask
Python Flask
2 votes358 views1 answer
Run flask application in development mode stack overflow
Python Flask
0 vote374 views1 answer
How to add array and array in python
Python
0 vote268 views1 answer
Check two list python not match
Python
44 votes269 views6 answers
Sklearn python install
Python
0 vote314 views1 answer
Custom permission class django rest framework
Python Django
0 vote291 views1 answer
How to return an html file in flask
Python