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

1 vote212 views2 answers
Pygame left click
Python
1 vote257 views1 answer
Use incognito in selenium webdriver
Python
0 vote203 views1 answer
56.5 to 57 in python
Python
0 vote209 views1 answer
Multiprocessing pool pass additional arguments
Python
0 vote169 views1 answer
Error: getaddrinfo ENOTFOUND www.python.org www.python.org:443 Downloading Python failed. Error: { Error: getaddrinfo ENOTFOUND www.python.org www.python.org:443
Python
1 vote221 views1 answer
Add self role with discord bot python
Python
0 vote218 views1 answer
Buttons on canvas tkinter
Python
0 vote222 views1 answer
Start python project
Python
7 votes238 views3 answers
Delete rows based on condition python
Python
0 vote161 views1 answer
Opencv find image in image
Python