It seems that the plot_state_map() doesn't work properly, cf. the notebook example in pyemma_tutorials, notebook 05, 6 state HMM. Where's the sixth state in the plot below? It's definitely in the data...
Something is wrong with the colormap, I guess. State zero is not distinguished from state 1.
Further, I don't quite understand why the plot_state_map() function needs the nstates keyword argument. If I'm not mistaken, I deleted it some time ago and it was added again. A state map should be defined by the number of states in the list of labels that is passed to this function, right? Why should a user want to have a different number?
It seems that the
plot_state_map()
doesn't work properly, cf. the notebook example in pyemma_tutorials, notebook 05, 6 state HMM. Where's the sixth state in the plot below? It's definitely in the data...Something is wrong with the colormap, I guess. State zero is not distinguished from state 1.
Further, I don't quite understand why the
plot_state_map()
function needs thenstates
keyword argument. If I'm not mistaken, I deleted it some time ago and it was added again. A state map should be defined by the number of states in the list of labels that is passed to this function, right? Why should a user want to have a different number?tagging @cwehmeyer