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

3 votes342 views2 answers
Get columns containing string
Python
3 votes337 views2 answers
Distplot in python
Python
1 vote341 views1 answer
Flask click submit button
Python Flask
0 vote342 views1 answer
Python var_dump
Python
2 votes355 views1 answer
User input of int type in python
Python
1 vote343 views1 answer
How to change angle of 3d plot python
Python
6 votes361 views2 answers
Slice dataframe pandas based on condition
Python
0 vote339 views2 answers
Python assert
Python
0 vote361 views1 answer
Python tkinter button with event
Python
20 votes343 views6 answers
Extract tar
Python