Showing 2 open source projects for "input-output model"

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    Asciidoctor PDF

    Asciidoctor PDF

    Asciidoctor PDF: A native PDF converter for AsciiDoc

    A fast text processor & publishing toolchain for converting AsciiDoc to HTML5, DocBook & more. Asciidoctor is a fast, open source, Ruby-based text processor for parsing AsciiDoc® into a document model and converting it to output formats such as HTML 5, DocBook 5, manual pages, PDF, EPUB 3, and other formats. Asciidoctor also has an ecosystem of extensions, converters, build plugins, and tools to help you author and publish content written in AsciiDoc.
    Downloads: 1 This Week
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    Decision Tree

    Decision Tree

    ID3-based implementation of the ML Decision Tree algorithm

    DecisionTree is a Ruby library that implements decision tree learning with the ID3 information-gain algorithm. It can train models from discrete, continuous, or mixed attribute data. Continuous features are evaluated across possible split points to build threshold-based binary branches. Discrete models classify unique labels and can be rendered for visual inspection. The library supports inconsistent datasets, multiple or symbolic outputs, and fallback values when no branch matches an input....
    Downloads: 0 This Week
    Last Update:
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