@@ -113,7 +113,7 @@ By default, the package will be built with [Visual Studio Build Tools](https://v
...
@@ -113,7 +113,7 @@ By default, the package will be built with [Visual Studio Build Tools](https://v
**MinGW (R 3.x)**
**MinGW (R 3.x)**
If you are using R 3.x and installation fails with Visual Studio, `LightGBM` will fall back to using [MinGW](http://mingw-w64.org/doku.php) bundled with `Rtools`.
If you are using R 3.x and installation fails with Visual Studio, `LightGBM` will fall back to using [MinGW](https://www.mingw-w64.org/) bundled with `Rtools`.
If you want to force `LightGBM` to use MinGW (for any R version), pass `--use-mingw` to the installation script.
If you want to force `LightGBM` to use MinGW (for any R version), pass `--use-mingw` to the installation script.
@@ -143,7 +143,7 @@ Build with MinGW-w64 on Windows
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@@ -143,7 +143,7 @@ Build with MinGW-w64 on Windows
pip install lightgbm --install-option=--mingw
pip install lightgbm --install-option=--mingw
`CMake`_ and `MinGW-w64 <https://mingw-w64.org/>`_ should be installed first.
`CMake`_ and `MinGW-w64 <https://www.mingw-w64.org/>`_ should be installed first.
It is recommended to use **Visual Studio** for its better multithreading efficiency in **Windows** for many-core systems
It is recommended to use **Visual Studio** for its better multithreading efficiency in **Windows** for many-core systems
(see `Question 4 <https://github.com/microsoft/LightGBM/blob/master/docs/FAQ.rst#4-i-am-using-windows-should-i-use-visual-studio-or-mingw-for-compiling-lightgbm>`__ and `Question 8 <https://github.com/microsoft/LightGBM/blob/master/docs/FAQ.rst#8-cpu-usage-is-low-like-10-in-windows-when-using-lightgbm-on-very-large-datasets-with-many-core-systems>`__).
(see `Question 4 <https://github.com/microsoft/LightGBM/blob/master/docs/FAQ.rst#4-i-am-using-windows-should-i-use-visual-studio-or-mingw-for-compiling-lightgbm>`__ and `Question 8 <https://github.com/microsoft/LightGBM/blob/master/docs/FAQ.rst#8-cpu-usage-is-low-like-10-in-windows-when-using-lightgbm-on-very-large-datasets-with-many-core-systems>`__).