hmmlearn

• Simple algorithms and models to learn HMMs (Hidden Markov Models) in Python,
• Follows scikit-learn API as close as possible, but adapted to sequence data,
• Built on scikit-learn, NumPy, SciPy, and matplotlib,
• Open source, commercially usable — BSD license.

User guide: table of contents

• Tutorial
  • Available models
  • Building HMM and generating samples
  • Training HMM parameters and inferring the hidden states
  • Saving and loading HMM
  • Implementing HMMs with custom emission probabilities
• Examples
• API Reference
  • hmmlearn.base
  • hmmlearn.hmm
• hmmlearn Changelog
  • Version 0.2.0
  • Version 0.1.1