Advertisement
Guest User

Untitled

a guest
Jun 20th, 2019
74
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 0.22 KB | None | 0 0
  1. import fasttext
  2.  
  3. classifier = fasttext.supervised('ft_train.txt', 'model', label_prefix='_label_', lr=1.0, epoch=25, bucket=200000, dim=50, loss='hs')
  4. labels = []
  5. for el in test.text:
  6. labels += (classifier.predict([el])[0])
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement