The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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:
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.