I am trying to figure out the concepts behind Markov Chain.
[('D', 'E'), ('E', 'F'), ('F', 'E'), ('E', 'E'), ('E', 'F'), ('F', 'H'), ('H', 'F')]
How do I find the probability of the above data?
You have to use the tuples from the zip to index the dictionary and then multiply all the numbers.
from operator import mul
print reduce(mul, (dict_m[t] for t in zip(s, s[1:])))
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