* Add pipeline to documentation homepage. * Fix for mobile devices. * Add little pipelines to go at the top of each page. * Overhaul index page. * Overhaul README to remove redundant material. * Add installation documentation. * Update pipelines. * Allow nesting of deeper details. * Add a pipeline to the top of the load/save page. * Add prerequisites link to main pipeline. * Add better but not finished sidebar. * Add a couple new documentation pages. * Fix URLs in svg. * Incremental checkin. * Fix Youtube URLs. * Incremental checkin. * Minor fixes. * Add first pass at evaluation/deployment pages. * Minor spacing and link fixes. * Flesh out a number of additional pages and write basic compilation documentation. * Fix some minor issues, and add Docker deployment page (not totally finished yet). * Add developer documentation landing page. * Hopefully getting close to the final set of changes here. * Remove this documentation for now. * Fix a few links, and the size of the sidebar. * Fix some additional links. * Fix a bunch more links. * Fix another link that now has a better place. * Refactor test-docs.sh to handle documentation that is a standalone program. * Fix file exclusions. * Fully qualify typename. * Update name of file. * Fix syntax error. * Remove files that are not meant to be compiled. * Also skip the quickstart. * Move quickstart entry to the top. * Remove gray coloring of binding documentation. * Update name of sidebar link. * Update to working link. * Fix Wikipedia anchor.
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1.8 KiB
Markdown
44 lines
1.8 KiB
Markdown
# Documentation for mlpack
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<!--
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This file contains the landing page for mlpack documentation. Note that if you
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add new documentation, the sidebar in sidebar.html will need to be manually
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modified! In addition, you should modify the pipeline SVGs (see the comment
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below.)
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-->
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mlpack is an intuitive, fast, and flexible header-only C++ machine learning
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library with bindings to other languages. It aims to provide fast, lightweight
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implementations of both common and cutting-edge machine learning algorithms.
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mlpack's lightweight C++ implementation makes it ideal for deployment, and it
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can also be used for interactive prototyping via C++ notebooks (see
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[here](https://mybinder.org/v2/gh/mlpack/examples/HEAD) for a BinderHub instance
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on the [examples repository](https://github.com/mlpack/examples/)).
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In addition to its [powerful C++ interface](quickstart/cpp.md), mlpack also
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provides [command-line programs](quickstart/cli.md), and bindings to the
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[Python](quickstart/python.md), [R](quickstart/r.md),
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[Julia](quickstart/julia.md), and [Go](quickstart/go.md) languages.
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_If you use mlpack, please [cite the software](citation.md)._
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---
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<!-- NOTE: If you are updating the pipeline image, make sure to update *both*
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the wide and narrow versions. Yes, it is tedious, but we are limited
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by what HTML allows us. -->
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<object data="img/pipeline-wide.svg" type="image/svg+xml" id="pipeline-wide">
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(Your browser does not support inline SVG objects. Browse the mlpack
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pipeline using the navigation sidebar instead.)
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</object>
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<object data="img/pipeline-narrow.svg" type="image/svg+xml" id="pipeline-narrow">
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(Your browser does not support inline SVG objects. Browse the mlpack
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pipeline using the navigation sidebar instead.)
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</object>
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## Changelog
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For a list of changes in each version of mlpack, see the
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[changelog](HISTORY.md).
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