Error when using textcat.teach with small number of samples

I just got the same error coming up again in 1.1.0. It happened right when the model switched from using seeds to the nascent model. It could be that none of the documents were relevant after I exhausted the seed list, but wanted to bring it up.

/Users/ahalterman/anaconda3/lib/python3.6/site-packages/prodigy/app.py:60: RuntimeWarning: Mean of empty slice.
  tasks = controller.get_questions()
/Users/ahalterman/anaconda3/lib/python3.6/site-packages/numpy/core/_methods.py:80: RuntimeWarning: invalid value encountered in double_scalars
  ret = ret.dtype.type(ret / rcount)
/Users/ahalterman/anaconda3/lib/python3.6/site-packages/prodigy/app.py:60: RuntimeWarning: Degrees of freedom <= 0 for slice
  tasks = controller.get_questions()
/Users/ahalterman/anaconda3/lib/python3.6/site-packages/numpy/core/_methods.py:105: RuntimeWarning: invalid value encountered in true_divide
  arrmean, rcount, out=arrmean, casting='unsafe', subok=False)
/Users/ahalterman/anaconda3/lib/python3.6/site-packages/numpy/core/_methods.py:127: RuntimeWarning: invalid value encountered in double_scalars
  ret = ret.dtype.type(ret / rcount)