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Weka

by Machine Learning Group, University of Waikato, Hamilton, NZ·v3.9.6
UniversityOfWaikato.Weka

Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.

Visit homepage↗

Install with winget

$ winget install --id UniversityOfWaikato.Weka --exact --version 3.9.6

Run in Command Prompt, PowerShell, or Windows Terminal. Prompts for any agreements.

Sponsored

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See Pckgr's app library↗

Installers · v3.9.6

ArchitectureTypeScopeInstallDownload
x86nullsoft-Direct↗

Copy a command tailored to that specific architecture, type, and scope - useful when winget would otherwise pick a different default.

Recent versions

  • 3.9.6latest
  • 3.8.6
Homepage↗
License
GNU General Public License version 3.0
Tags
classificationclusteringdata-miningmachine-learningmlregression
Wingetlywingetly

Browse, bundle, install. Every winget app in one place.

An independent index for the Windows Package Manager ecosystem.

Catalog

  • All apps
  • Packs
  • Docs

Project

  • Privacy
  • About
Sponsor

Wingetly is sponsored by Pckgr - automated application patching for Microsoft Intune.

Learn more ↗
© 2026 WingetlyData from microsoft/winget-pkgs