ChainoPy: A Python Library for Discrete Time MarkovChain Based Stochastic Analysis

Modeling time series data, such as stock prices and text sequences, is effectively achieved using Markov Chains.ChainoPy facilitates the modeling of time series data with Markov Chains and Markov Switching Models, optimizing for computational efficiency in terms of speed and memory usage.Additionally, ChainoPy enables the integration of probabilistic models like Markov Chains with Neural Networks, traditionally considered deterministic, through the MarkovChainNeuralNetwork class.This hybrid approach leverages the strengths of both probabilistic and neural network methodologies.