# Release v1.0.0 We are excited to announce the first stable release of [`@am/decisiontree`](https://jsr.io/@am/decisiontree)! This v1.0.0 release marks a significant milestone, providing a robust and easy-to-use TypeScript library for creating, training, and utilizing decision tree models for both classification and regression tasks. The library is designed for cross-runtime compatibility, supporting Node.js, Deno, Bun, and modern browsers. ## What's Changed * Random forest by @AugustinMauroy in https://github.com/AugustinMauroy/am-decisiontree/pull/1 * release: V1 by @AugustinMauroy in https://github.com/AugustinMauroy/am-decisiontree/pull/2 ## New Contributors * @AugustinMauroy made their first contribution in https://github.com/AugustinMauroy/am-decisiontree/pull/1 **Full Changelog**: https://github.com/AugustinMauroy/am-decisiontree/compare/0.1.0...1.0.0

This release introduces a comprehensive suite of features for building, training, and evaluating decision tree models in TypeScript. I'm excited to bring robust classification and regression capabilities to your projects! **Full Changelog**: https://github.com/AugustinMauroy/am-decisiontree/commits/0.0.1