Switch point Metropolis tuning

Questions
7

Pymc3 version 3.3
I’m running it in jupyter notebook (version 5.3.1).
When I run the model, it gets up to this part:

Auto-assigning NUTS sampler…
Initializing NUTS using jitter+adapt_diag…
c:\anaconda\lib\site-packages\pymc3\model.py:384: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
if not np.issubdtype(var.dtype, float):
Multiprocess sampling (2 chains in 2 jobs)
NUTS: [b_logodds_ordered__, lambdas]

Then it just gets stuck, but if I you look at the Jupyter command prompt you’d see:

Process SpawnPoolWorker-2:
Traceback (most recent call last):
File “c:\anaconda\lib\multiprocessing\process.py”, line 249, in _bootstrap
self.run()
File “c:\anaconda\lib\multiprocessing\process.py”, line 93, in run
self._target(*self._args, **self._kwargs)
File “c:\anaconda\lib\multiprocessing\pool.py”, line 108, in worker
task = get()
File “c:\anaconda\lib\site-packages\joblib\pool.py”, line 362, in get
return recv()
File “c:\anaconda\lib\multiprocessing\connection.py”, line 251, in recv
return _ForkingPickler.loads(buf.getbuffer())
AttributeError: Can’t get attribute ‘Composed’ on <module ‘main’ (built-in)>

Do you recommend I update Jupyter or Pymc3 versions?