A collection of low-level machine learning algorithms for node.js.
This project is quite new and documentation will be on the way shortly. In the meantime you can check out the spec folder for examples of how to use the algorithms.
Note that within "apparatus" the interface to the algorithms in primarily arrays of numbers and vectors. If you're looking for feature extraction from text or natural language check out the "natural" https://github.com/NaturalNode/natural node package. "natural" uses many of these algorithms but adds a layer of natural language/text feature extraction.
FAQs
various machine learning routines for node
We found that apparatus demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Snyk's use of malicious npm packages for research raises ethical concerns, highlighting risks in public deployment, data exfiltration, and unauthorized testing.
Research
Security News
Socket researchers found several malicious npm packages typosquatting Chalk and Chokidar, targeting Node.js developers with kill switches and data theft.
Security News
pnpm 10 blocks lifecycle scripts by default to improve security, addressing supply chain attack risks but sparking debate over compatibility and workflow changes.
