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mlpack | fast, flexible C++ machine learning library |
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Documentation
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.
- Build
- CLI
- Python Bindings
- Julia Bindings
- R Bindings
- Go Bindings
- C++
- General