Hidden Markov Model
- Python 2.7
- Numpy
Hidden Markov Model
In probability theory, a Markov model is a stochastic model used to model randomly changing systems where it is assumed that future states depend only on the current state not on the events that occurred before it (that is, it assumes the Markov property).