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oasic avatar

oasic/nbayes

0
View on GitHub↗
154 stars·31 forks·Ruby·MIT·9 views

Nbayes

gem install nbayes

Features

  • Machine Learning Libraries - Full-featured Naive Bayes classifier for Ruby.
  • Statistical and Predictive Models - Offers a full-featured Naive Bayes implementation.

Star history

Star history chart for oasic/nbayesStar history chart for oasic/nbayes

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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Frequently asked questions

What does oasic/nbayes do?

` gem install nbayes `

What are the main features of oasic/nbayes?

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

What are some open-source alternatives to oasic/nbayes?

Open-source alternatives to oasic/nbayes include: maspwr/rtimbl — A Ruby interface to the Timbl machine-learning library. 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 — A generalized framework for text classifications.

Open-source alternatives to Nbayes

Similar open-source projects, ranked by how many features they share with Nbayes.
  • febeling/rb-libsvmfebeling avatar

    febeling/rb-libsvm

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  • ealdent/lda-rubyealdent avatar

    ealdent/lda-ruby

    134View on GitHub↗

    This wrapper is based on C-code by David M. Blei. In a nutshell, it can be used to automatically cluster documents into topics. The number of topics are chosen beforehand and the topics found are usually fairly intuitive. Details of the implementation can be found in the paper by Blei, Ng, and…

    Ruby
    View on GitHub↗134
  • djcp/linnaeusdjcp avatar

    djcp/linnaeus

    37View on GitHub↗

    Linnaeus is a redis-backed naive Bayesian classification system. Please see the rdoc for more information. Ruby 1.9 is required.

    Ruby
    View on GitHub↗37
  • igrigorik/decisiontreeigrigorik avatar

    igrigorik/decisiontree

    1,484View on GitHub↗

    ID3-based implementation of the ML Decision Tree algorithm

    Ruby
    View on GitHub↗1,484
See all 30 alternatives to Nbayes
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