High-quality documentation is a development goal of mlpack. mlpack’s documentation is split into two parts: documentation for the bindings/CLI, and documentation for the C++ library. Also useful is the examples repository, which demonstrates usage of mlpack’s functionality in simple example programs.
Generally, working with the bindings is a good choice for simple machine learning and data science tasks, and writing C++ is a good idea when complex or custom functionality is desired.
All interfaces are heavily documented, and if you find a documentation issue, please report it.
• Building mlpack From Source (Linux)
• Building mlpack From Source (Windows)
• mlpack command-line quickstart guide
• command-line documentation
• mlpack in Python quickstart guide
• Binding documentation
• mlpack in Julia quickstart guide
• Binding documentation
• mlpack in R quickstart guide
• Binding documentation
• mlpack in Go quickstart guide
• Binding documentation
• Simple Sample mlpack Programs
• Sample C++ ML App for Windows
• File formats and loading data in mlpack
• mlpack Timers
• Doxygen documentation
• Method-specific
Tutorials
• Advanced Tutorials
• Policy Class Documentation
• Writing an mlpack binding
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