Ejemplo de código Python de la cadena Markov

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Ejemplo: código python de la cadena markov

import numpy as np classMarkovChain(object):def__init__(self, transition_prob):"""        Initialize the MarkovChain instance.         Parameters        ----------        transition_prob: dict            A dict object representing the transition             probabilities in Markov Chain.             Should be of the form:                 'state1': 'state1': 0.1, 'state2': 0.4,                  'state2': ...        """        self.transition_prob = transition_prob        self.states =list(transition_prob.keys())defnext_state(self, current_state):"""        Returns the state of the random variable at the next time         instance.         Parameters        ----------        current_state: str            The current state of the system.        """return np.random.choice(            self.states,             p=[self.transition_prob[current_state][next_state]for next_state in self.states])defgenerate_states(self, current_state, no=10):"""        Generates the next states of the system.         Parameters        ----------        current_state: str            The state of the current random variable.         no: int            The number of future states to generate.        """        future_states =[]for i inrange(no):            next_state = self.next_state(current_state)            future_states.append(next_state)            current_state = next_state        return future_states

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