ClassicalHMM

An implementation of the Classical Hidden Markov model for i-order Markov chains.

This is the class responsible for computing the Hidden Markov model for a given list of sequences.

Data (pandas.DataFrame) - Dataframe with sequence data. Each row of the dataframe must contain a list of strings. The dataframe must contain 2 columns labeled x and y. The class will report an error if the length of a datapoint from x is not equal to length of the corresponding datapoint from y - 2.
Order (int, Defaults to 1) - Number indicating the order of the markov model.
Vocab_x (list) - List of unique tokens in the x sequence.
Vocab_y (list) - List of unique tokens in the y sequence.

import HMM from ClassicalHMM
hmm = HMM(df, order, vocab_x, vocab_y)

OmegAshEnr01n/ClassicalHMM