DOC install everything from conda-forge when using conda-forge compilers
@@ -240,8 +240,8 @@ First install the macOS command line tools::
It is recommended to use a dedicated `conda environment`_ to build
scikit-learn from source::
- conda create -n sklearn-dev python numpy scipy cython joblib pytest \
- "conda-forge::compilers>=1.0.4,!=1.1.0" conda-forge::llvm-openmp
+ conda create -n sklearn-dev -c conda-forge python numpy scipy cython \
+ joblib threadpoolctl pytest "compilers>=1.0.4,!=1.1.0" llvm-openmp
conda activate sklearn-dev
make clean
pip install --verbose --no-build-isolation --editable .
@@ -353,7 +353,8 @@ Linux compilers from conda-forge
Alternatively, install a recent version of the GNU C Compiler toolchain (GCC)
in the user folder using conda::
- conda create -n sklearn-dev numpy scipy joblib cython conda-forge::compilers
+ conda create -n sklearn-dev -c conda-forge python numpy scipy cython \
+ joblib threadpoolctl pytest compilers
conda activate sklearn-dev
pip install --verbose --no-build-isolation --editable .
