https://languagemachines.github.io/timbl/

TiMBL implements several memory-based learning algorithms.
https://languagemachines.github.io/timbl/

c-plus-plus classification decision-tree ib1 ib1-ig igtree k-nearest-neighbours knn learning-algorithm learning-algorithms machine-learning nearest-neighbours timbl

Last synced: 3 months ago
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TiMBL implements several memory-based learning algorithms.

• Host: GitHub
• URL: https://languagemachines.github.io/timbl/
• Owner: LanguageMachines
• License: gpl-3.0
• Created: 2014-06-05T13:34:19.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2024-05-07T15:18:44.000Z (6 months ago)
• Last Synced: 2024-07-24T16:00:36.313Z (4 months ago)
• Topics: c-plus-plus, classification, decision-tree, ib1, ib1-ig, igtree, k-nearest-neighbours, knn, learning-algorithm, learning-algorithms, machine-learning, nearest-neighbours, timbl
• Language: C++
• Homepage: https://languagemachines.github.io/timbl
• Size: 10.3 MB
• Stars: 46
• Watchers: 8
• Forks: 9
• Open Issues: 1
• Metadata Files:
  • Readme: README
  • License: COPYING
  • Authors: AUTHORS
  • Codemeta: codemeta.json

Awesome Lists containing this project

• low-resource-languages - TiMBL - based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification with feature weighting suitable for symbolic feature spaces, and IGTree, a decision-tree approximation of IB1-IG. All implemented algorithms have in common that they store some representation of the training set explicitly in memory. During testing, new cases are classified by extrapolation from the most similar stored cases. (Software / Utilities)

README

        
Please see README.md for for information.