Initial release:
simulate_stream() generates simulates data to perform stream-based active learning for process monitoring, as shown in the simulation study of Capezza, Lepore and Paynabar (2025).fit_pHMM() fits a partially hidden Markov model (pHMM) to the data, as described in Capezza, Lepore and Paynabar (2025).fit_pHMM_auto() fits a pHMM to the data with automatic selection of the number of hidden states and with automatic initialization, as shown in Capezza, Lepore and Paynabar (2025).active_learning_pHMM() performs stream-based active learning for process monitoring, as described in Capezza, Lepore and Paynabar (2025).References: