GitHub - mlpack/mlpack: mlpack: a fast, header-only …
https://github.com:443/mlpack/mlpack
Overview0. Contents1. Citation details2. Dependencies3. Installing and using mlpack in C++4. Building mlpack bindings to other languages5. Building mlpack's test suite6. Further ResourcesSee also the C++ quickstart.Since mlpack is a header-only library, installing just the headers for use in a C++ application is trivial.From the root of the sources, configure and install in the standard CMake way:If the cmake .. command fails due to unavailable dependencies, consider either using the -DDOWNLOAD_DEPENDENCIES=ON option as detailed in the following subsection, or ensure that mlpack's dependencies are installed, e.g. using the system package manager. For example…See more on github.com See also the C++ quickstart.Since mlpack is a header-only library, installing just the headers for use in a C++ application is trivial. From the root of the sources, configure and install in the standard CMake way:If the cmake .. command fails due to unavailable dependencies, consider either using the -DDOWNLOAD_DEPENDENCIES=ON option as detailed in the following subsection, or ensure that mlpack's dependencies are installed, e.g. using the system package manager. For example…
See also the C++ quickstart.Since mlpack is a header-only library, installing just the headers for use in a C++ application is trivial.
From the root of the sources, configure and install in the standard CMake way:If the cmake .. command fails due to unavailable dependencies, consider either using the -DDOWNLOAD_DEPENDENCIES=ON option as detailed in the following subsection, or ensure that mlpack's dependencies are installed, e.g. using the system package manager. For example…
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