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maspwr/rtimbl

0
View on GitHub↗
5 stars·1 fork·C++·MIT·4 viewsgithub.com/markisisme/rtimbl/tree/master↗

Rtimbl

A Ruby interface to the Timbl machine-learning library

Features

  • Machine Learning Libraries - Memory-based learner from the Timbl framework.
  • Statistical and Predictive Models - Interfaces with memory-based learners from the Timbl framework.

Star history

Star history chart for maspwr/rtimblStar history chart for maspwr/rtimbl

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Rtimbl

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Frequently asked questions

What does maspwr/rtimbl do?

A Ruby interface to the Timbl machine-learning library

What are the main features of maspwr/rtimbl?

The main features of maspwr/rtimbl are: Machine Learning Libraries, Statistical and Predictive Models.

What are some open-source alternatives to maspwr/rtimbl?

Open-source alternatives to maspwr/rtimbl include: mustafaturan/omnicat — A generalized framework for text classifications. igrigorik/decisiontree — ID3-based implementation of the ML Decision Tree algorithm. ealdent/lda-ruby — This wrapper is based on C-code by David M. Blei. In a nutshell, it can be used to automatically cluster documents… djcp/linnaeus — Linnaeus is a redis-backed naive Bayesian classification system. Please see the rdoc for more information. Ruby 1.9 is… febeling/rb-libsvm — Ruby language bindings for LIBSVM. mustafaturan/omnicat-bayes — A Naive Bayes text classification implementation as an OmniCat classifier strategy.