BRACHEMI MEFTAH Hanene comments

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                                            BRACHEMI MEFTAH Hanene

ValueError: Input contains NaN, infinity or a value too large for dtype('float64')

Apparently, the problem comes from the sklearn normalize function, I checked wether the state_transition_matrix variable had any Nan or infinite values and there seems to be none ![image](https://user-images.githubusercontent.com/68550699/168891338-3c1171a3-ebe9-4c1d-afee-aeeced28e2dc.png)

ValueError: Input contains NaN, infinity or a value too large for dtype('float64')

looks like (896, 896)

ValueError: Input contains NaN, infinity or a value too large for dtype('float64')

Here's an update, apparently, the problem comes from the markovChain.solve() and exactly from v = np.divide(v, sum(v)) and is due to a division by 0. I think adding a small...

Article Figure 9

Hi again, thanks a lot for the answer, this seems to work for me.