Issues on MSM estimation and validation in Notebook 00

[Owen2015]

When I ran the code block

its = pyemma.msm.its(cluster.dtrajs, lags=50, nits=10, errors='bayes')
pyemma.plots.plot_implied_timescales(its, units='ns', dt=0.1);

It show "estimating BayesianMSM: 80%" and I ran it multiple times but it just fluctuated between 50%-90% and never reach 100%.

Can anyone help on this?

[bsayari10]

Try this:
its = pyemma.msm.its(cluster.dtrajs, lags=50, nits=6, errors="bayes" , n_jobs = 1)
pyemma.plots.plot_implied_timescales(its, units='ns', dt=0.1);

n_jobs is ambiguous in this case. Hope this helps.