Ensembler is an npm library that automatically combines the prediction CSVs produced by multiple trained machine‑learning models into a single, higher‑accuracy ensemble output. It’s aimed at developers using the machineJS ecosystem (or any workflow that can generate compatible prediction files) who want a hands‑off way to find the optimal weighted or averaged blend of their existing classifiers.
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Fast and reliable CSV parser based on PapaParse
simple line-by-line stream reader
A mature CSV toolset with simple api, full of options and tested against large datasets.
CSV parser and writer
fs-extra contains methods that aren't included in the vanilla Node.js fs package. Such as recursive mkdir, copy, and remove.
Automated machine learning structure. Ensembles random forests, XGBoost, neural networks, AdaBoost, KNN, SVM together, handling data formatting ensembling, and running predictions for you. Feel free t
Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and consta
Run Python scripts from Node.js with simple (but efficient) inter-process communication through stdio
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