Scikit Learn HMM Training With Set Of Observation Sequences

I had a question about how I can use gaussianHMM in the scikit-learn package to train on several different observation sequences all at once. The example is here: visualizing the s

Solution 1:

In attached example you do

model.fit([X])

which is training on a singleton of observations, if you have multiple ones, for example X1,X2,X3 you can run

model.fit([X1,X2,X3])

in general for HMM implementation in scikit-learn you give it a sequence of observations S

model.fit(S)