Random-Forest-Matlab

Source

• Source kind: github-repository
• URL: https://github.com/karpathy/Random-Forest-Matlab
• Discovery source: https://github.com/karpathy/Random-Forest-Matlab
• License: NOASSERTION
• Distribution policy: public-summary-local-archive-only
• Public mirror status: summary-only
• Content hash: be5866de4c639f53e6caf6e8aa290ccfba0febc6bc1695d76ed45670a302e361
• First seen: 2026-05-15
• Last changed: 2026-05-15

Classification

• Primary category: Minimal implementations
• Corpus source note: 2026-05-15-karpathy-public-corpus
• Project taxonomy: karpathy-project-taxonomy
• Idea map: karpathy-idea-map
• Topic hub: karpathy-public-work

Summary

Random Forest for Matlab This toolbox was written for my own education and to give me a chance to explore the models a bit. It is NOT intended for any serious applications and it does not NOT do many of things you would want a mature implementation to do, like leaf pruning. If you wish to use a strong implementation I recommend Scikit Learn / Python. For Matlab I do not really have a recommendation. --------------------------------------------------------------------- Usage: Random Forests for classification: (see demo for more) opts.classfierID= [2, 3]; % use both 2D-linear weak learners (2) and conic (3) m= for…

What This Teaches

• How a complex idea can be compressed into a minimal but working implementation.
• Useful as a reference style for serious small systems rather than decorative demos.

Why It Matters

This matters as part of Karpathy’s broader pattern: compress hard technical systems into readable, inspectable, working artifacts.

Repository Snapshot

• Full name: karpathy/Random-Forest-Matlab
• Default branch: master
• HEAD: 46aa3d5be31ba25364d087d3e71cdc9bd5f4de18
• Stars at crawl: 222
• Forks at crawl: 125
• File count: 15
• README path: README.txt
• License path: “
• Created: 2012-03-31T15:24:12Z
• Updated: 2026-05-04T06:25:29Z
• Pushed: 2014-02-27T22:56:10Z

Top-Level Structure

• lib: 11
• demos: 2
• [root]: 1
• data: 1

File Extension Profile

• .m: 13
• .jpg: 1
• .txt: 1

Tags / Release-Like Markers

• No git tags found in the shallow local clone.

Sample File Tree

• data/lenna.jpg
• demos/forestdemo.m
• demos/svmdemo.m
• lib/forestTest.m
• lib/forestTrain.m
• lib/localContrastNormalize.m
• lib/mgd.m
• lib/storage.m
• lib/svmTest.m
• lib/svmTrain.m
• lib/treeTest.m
• lib/treeTrain.m
• lib/weakTest.m
• lib/weakTrain.m
• README.txt

Public Handling Notes

• EXTRACTED: This page records public metadata and a source-grounded summary.
• INFERRED: Full local preservation, when available, is for private/local use unless a license or explicit source policy makes public redistribution safe.
• Do not treat this page as permission to republish unlicensed source text or code wholesale.