ActiveLearning4SPM 0.1.0

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:

• Capezza, C., Lepore, A., & Paynabar, K. (2025). Stream-Based Active Learning for Process Monitoring. Technometrics. doi:10.1080/00401706.2025.2561744.

mirror server hosted at Truenetwork, Russian Federation.