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

-2 votes121 views1 answer
How to get data from django session
Python Django
4 votes97 views1 answer
Python find most occuring element
Python
0 vote105 views1 answer
Python read file delete first line
Python
2 votes122 views2 answers
If else pandas dataframe
Python
4 votes59 views1 answer
Declaring a numpy array with certain size
Python
15 votes106 views6 answers
Python sqlite3
Python
3 votes106 views1 answer
PowerShell says “execution of scripts is disabled on this system.”
Python
0 vote98 views1 answer
Screen.blit() arguments
Python
30 votes102 views3 answers
Pandas add a total row to dataframe
Python
1 vote99 views1 answer
Convert a tuple into string python
Python