Welcome to the documentation for hsmmlearn!

hsmmlearn is a library for unsupervised learning of hidden semi-Markov models with explicit durations. It is a port of the hsmm package for R written by Jan and Ingo Bulla. In fact, the C++ code that powers hsmmlearn comes verbatim from hsmm.

hsmmlearn borrows its name and the design of its Python api from hmmlearn.

• Tutorial
  • Decoding
  • Aside: different emission PDFs
  • Model inference
• API reference
  • hsmm module
  • emissions module
  • properties module

Indices and tables

• Index
• Module Index
• Search Page