Random forest for classification and regression

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

Random Forest with WebAssembly and WebWorkers

A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting.

incremental random forest ensemble classifier (native)

incremental random forest ensemble classifier (native)

Random forest for classification and regression

A Random Forest implementation for JavaScript supporting distributed computation

Middleware RASP de deteccion de amenazas (SQLi, XSS, Path Traversal, Command Injection) para Node.js/Express, con inferencia ONNX (Random Forest + Isolation Forest)

Random forest for classification and regression

logistic regression/c4.5 decision tree algorithm with random forest

the author don't update the npm , so i forked one;A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy an

Collection of online classification algorithms. Online random forest.

Generate random numbers from various distributions.

Official Express/Sequelize Liana for Forest

Random Forest from scratch in C11, compiled to WebAssembly -- classification, regression, ExtraTrees, quantile RF, conformal prediction, histogram binning, JARF rotation, sample weights, proximity matrix

Official package for all Forest Express Lianas

An alias package for `crypto.randomBytes` in Node.js and/or browsers

URL and cookie safe UIDs

Generate a cryptographically strong random string