Ryan Curtin
c8eb3dceac
* 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.
26 lines
987 B
Markdown
26 lines
987 B
Markdown
<object data="../img/pipeline-top-6.svg" type="image/svg+xml" id="pipeline-top">
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</object>
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# Deployment
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Once a modeling pipeline is ready for deployment, it is easy to deploy mlpack
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applications to a wide variety of settings due to its simple header-only nature.
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See also the [examples repository](https://github.com/mlpack/examples/),
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which contains a number of fully-working deployable example applications.
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The pages below provide guidance for how to deploy mlpack to a variety of
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relatively simple environments.
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* [***Compile an mlpack program***](compile.md): compile a standalone C++ program
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that uses mlpack.
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* [***Cross-compile to a Raspberry Pi***](../embedded/crosscompile_armv7.md):
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cross-compile an mlpack C++ application to an embedded or low-resource
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device.
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- See also the
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[cross-compilation setup page](../embedded/supported_boards.md).
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* [***Deploying mlpack on Windows***](deploy_windows.md): build a Windows
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application that uses mlpack.
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