Are you using HMMBase in a particular domain (Biology, NLP, ...) ? Feel free to open an issue to discuss your workflow/needs and see how we can improve HMMBase.
HMMBase provides a lightweight and efficient abstraction for hidden Markov models in Julia. Most HMMs libraries only support discrete (e.g. categorical) or Normal distributions. In contrast HMMBase builds upon Distributions.jl to support arbitrary univariate and multivariate distributions.
See HMMBase.jl - A lightweight and efficient Hidden Markov Model abstraction for more details on the motivation behind this package.
The package can be installed with the Julia package manager.
From the Julia REPL, type
] to enter the Pkg REPL mode and run:
pkg> add HMMBase
The package is tested against Julia 1.0 and Julia 1.2.
Starting with v1.0, we follow semantic versioning:
Given a version number MAJOR.MINOR.PATCH, increment the:
- MAJOR version when you make incompatible API changes,
- MINOR version when you add functionality in a backwards compatible manner, and
- PATCH version when you make backwards compatible bug fixes.
Contributions are very welcome, as are feature requests and suggestions. Please read the CONTRIBUTING.md file for informations on how to contribute. Please open an issue if you encounter any problems.
Logo: lego by jon trillana from the Noun Project.
10 days ago