      LAST
      UNIT
      OUT
      N_MOVES
  
  
  MOVE_NAMES = [None] * N_MOVES
  MOVE_NAMES[MISSING] = 'M'
 
</s> remove USE_FTRL = True
 </s> add USE_FTRL = False </s> remove             for label_str in sorted(label_strs):
 </s> add             for label_str in label_strs:
    ISNT
      LAST
      UNIT
      OUT
    ISNT
      N_MOVES
  
  
  MOVE_NAMES = [None] * N_MOVES
  MOVE_NAMES[MISSING] = 'M'
keep keep add keep keep keep keep keep
 WIP on add_label bug during NER training

Currently when a new label is introduced to NER during training,
it causes the labels to be read in in an unexpected order. This
invalidates the model. 
spacy/syntax/ner.pyx