A binary decision tree chart in React.

NodeJS Implementation of Decision Tree using ID3 Algorithm.

NodeJS implementation of decision tree, random forest, and XGBoost algorithms with comprehensive performance testing (Node.js 20+)

When building the decision tree you must provide both the training data and the feature names. Do not provide a name for your label column as it is assumed that the last column in the training data represents the labels.

Machine learning with functional undertones

A utility for traversing decision trees by selecting options

A simple class to make statefull decision trees

A lightweight rules engine/decision tree

Module to easily implement decision tree logic in a react app

Get the unscoped, camelCased name of a npm package

TypeScript Report API for Variant Call Format (VCF) Report Templates

A scikit-learn-inspired machine learning library for Bun/TypeScript.

Module to easily implement decision tree logic in a react app

A React component for visualizing decision trees and directed acyclic graphs with multiple layout algorithms, interactive controls, and smooth animations.

auto dj node module for the browser

Tools to navigate a graph of questions.

Payload 3 plugin: Site Forms, submissions, form sequences (draft/save progress), and mailing. CLI (init) scaffolds UI, Site Form block, and editable mail-templates into your repo.

NodeJS implementation of decision tree using ID3 algorithm

Node port of the BYU CS 478 machine learning toolkit written in Typescript

Simple decision tree / relationship tree component