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Update references to the new documentation homepage
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README.markdown

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[![Build Status](https://img.shields.io/travis/jekyll/classifier-reborn/master.svg)](https://travis-ci.org/jekyll/classifier-reborn)
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## [Read the Docs](https://www.classifier-reborn.com/)
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## [Read the Docs](https://jekyll.github.io/classifier-reborn/)
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## Getting Started
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There is much more that can be done using Bayes and LSI beyond these quick examples.
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For more information read the following documentation topics.
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* [Installation and Dependencies](https://www.classifier-reborn.com/)
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* [Bayesian Classifier](https://www.classifier-reborn.com/bayes)
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* [Latent Semantic Indexer (LSI)](https://www.classifier-reborn.com/lsi)
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* [Classifier Validation](https://www.classifier-reborn.com/validation)
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* [Development and Contributions](https://www.classifier-reborn.com/development) (*Optional Docker instructions included*)
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* [Installation and Dependencies](https://jekyll.github.io/classifier-reborn/)
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* [Bayesian Classifier](https://jekyll.github.io/classifier-reborn/bayes)
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* [Latent Semantic Indexer (LSI)](https://jekyll.github.io/classifier-reborn/lsi)
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* [Classifier Validation](https://jekyll.github.io/classifier-reborn/validation)
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* [Development and Contributions](https://jekyll.github.io/classifier-reborn/development) (*Optional Docker instructions included*)
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### Notes on JRuby support
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classifier-reborn-jruby.gemspec

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s.summary = 'A general classifier module to allow Bayesian and other types of classifications.'
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s.authors = ['Lucas Carlson', 'Parker Moore', 'Chase Gilliam']
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s.homepage = 'https://github.com/jekyll/classifier-reborn'
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s.homepage = 'https://github.com/jekyll/classifier-reborn/'
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all_files = `git ls-files -z`.split("\x0")
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s.files = all_files.grep(%r{^(bin|lib|data)/})

classifier-reborn.gemspec

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s.summary = 'A general classifier module to allow Bayesian and other types of classifications.'
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s.authors = ['Lucas Carlson', 'Parker Moore', 'Chase Gilliam']
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s.homepage = 'http://www.classifier-reborn.com'
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s.homepage = 'https://jekyll.github.io/classifier-reborn/'
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all_files = `git ls-files -z`.split("\x0")
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s.files = all_files.grep(%r{^(bin|lib|data)/})

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