hsmmlearn | hidden semi-Markov models

by jvkersch Jupyter Notebook Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | hsmmlearn Summary

hsmmlearn is a Jupyter Notebook library. hsmmlearn has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

A library for hidden semi-Markov models with explicit durations

Support

Quality

Security

License

Reuse

Support

hsmmlearn has a low active ecosystem.

It has 54 star(s) with 15 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 13 open issues and 12 have been closed. On average issues are closed in 315 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hsmmlearn is current.

Quality

hsmmlearn has 0 bugs and 0 code smells.

Security

hsmmlearn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hsmmlearn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hsmmlearn is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

hsmmlearn releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 1123 lines of code, 79 functions and 17 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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hsmmlearn Key Features

No Key Features are available at this moment for hsmmlearn.

hsmmlearn Examples and Code Snippets

No Code Snippets are available at this moment for hsmmlearn.

Community Discussions

No Community Discussions are available at this moment for hsmmlearn.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install hsmmlearn

hsmmlearn supports Python 3.6 and up. After cloning the repository, you can install the package by running. Note the dot (.) at the end of the command, which is part of the command. You will need a C++ compiler to build and install the package. To run the unit tests, do.

Support

The documentation for hsmmlearn is a work in progress. To build the docs, first install the doc requirements, then run Sphinx:. If everything goes well, the documentation should be in docs/_build/html. Some of the documentation comes as jupyter notebooks, which can be found in the notebooks/ folder. Sphinx ingests these, and produces rst documents out of them. If you end up modifying the notebooks, run make notebooks in the documentation folder and check in the output.

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