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
The npm package apparatus receives a total of 173,396 weekly downloads. As such, apparatus popularity was classified as popular.
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
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.
Research
Security News
A threat actor's playbook for exploiting the npm ecosystem was exposed on the dark web, detailing how to build a blockchain-powered botnet.
Security News
NVD’s backlog surpasses 20,000 CVEs as analysis slows and NIST announces new system updates to address ongoing delays.
