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

16 votes224 views4 answers
Python check list contains another list
Python
15 votes250 views6 answers
Dataframe to list
Python
0 vote202 views1 answer
Glob.iglob sort path
Python
0 vote250 views1 answer
Read the entire text file using the read() function
Python
2 votes266 views1 answer
Discord.py check if user has role
Python
5 votes244 views1 answer
Python flask query params
Python
0 vote243 views1 answer
Import stock data from yahoo finance
Python
0 vote238 views1 answer
Python select columns with no na
Python
0 vote247 views1 answer
How to save the command result with ! in python
Python
0 vote222 views9 answers
How to form a list from a file in python
Python