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 vote119 views1 answer
Installing intelpython3_core using anaconda
Python
2 votes169 views1 answer
Django rest framework viewset perform_update
Python Django
0 vote177 views1 answer
Pip install scrapy-proxy-pool
Python
0 vote117 views1 answer
Pathlib path of current file
Python
10 votes110 views3 answers
Python iterate through files
Python
3 votes107 views1 answer
Python docstring
Python
23 votes118 views2 answers
Python How To Check if String Is Empty
Python
1 vote107 views1 answer
Flask error f = open(f'{getcwd()}/haikus/{haiku}',"r") ^ SyntaxError: invalid syntax
Python
0 vote100 views1 answer
Aggregate on the entire DataFrame without group
Python
1 vote117 views1 answer
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available()
Python