scikit-learn · jjerphan · Jun 28, 2024 · Jun 26, 2024 · Jun 26, 2024 · Jun 26, 2024
diff --git a/asv_benchmarks/asv.conf.json b/asv_benchmarks/asv.conf.json
@@ -23,11 +23,7 @@
     //
     // "install_command": ["python -mpip install {wheel_file}"],
     // "uninstall_command": ["return-code=any python -mpip uninstall -y {project}"],
-    // "build_command": [
-    //     "python setup.py build",
-    //     "PIP_NO_BUILD_ISOLATION=false python -mpip wheel --no-deps --no-index -w {build_cache_dir} {build_dir}"
-    // ],
-
+    // "build_command": ["python -m build --wheel -o {build_cache_dir} {build_dir}"],
     // List of branches to benchmark. If not provided, defaults to "master
     // (for git) or "default" (for mercurial).
     "branches": ["main"],

diff --git a/doc/developers/advanced_installation.rst b/doc/developers/advanced_installation.rst
@@ -481,44 +481,3 @@ the base system and these steps will not be necessary.
 .. _virtualenv: https://docs.python.org/3/tutorial/venv.html
 .. _conda environment: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
 .. _Miniforge3: https://github.com/conda-forge/miniforge#miniforge3
-
-Alternative compilers
-=====================
-
-The following command will build scikit-learn using your default C/C++ compiler.
-
-.. prompt:: bash $
-
-    pip install --editable . \
-        --verbose --no-build-isolation \
-        --config-settings editable-verbose=true
-
-If you want to build scikit-learn with another compiler handled by ``setuptools``,
-use the following command:
-
-.. prompt:: bash $
-
-    python setup.py build_ext --compiler=<compiler> -i build_clib --compiler=<compiler>
-
-To see the list of available compilers run:
-
-.. prompt:: bash $
-
-    python setup.py build_ext --help-compiler
-
-If your compiler is not listed here, you can specify it through some environment
-variables (does not work on windows). This `section
-<https://setuptools.pypa.io/en/stable/userguide/ext_modules.html#compiler-and-linker-options>`_
-of the setuptools documentation explains in details which environment variables
-are used by ``setuptools``, and at which stage of the compilation, to set the
-compiler and linker options.
-
-When setting these environment variables, it is advised to first check their
-``sysconfig`` counterparts variables and adapt them to your compiler. For instance::
-
-    import sysconfig
-    print(sysconfig.get_config_var('CC'))
-    print(sysconfig.get_config_var('LDFLAGS'))
-
-In addition, since Scikit-learn uses OpenMP, you need to include the appropriate OpenMP
-flag of your compiler into the ``CFLAGS`` and ``CPPFLAGS`` environment variables.
diff --git a/doc/developers/cython.rst b/doc/developers/cython.rst
@@ -97,8 +97,6 @@ Tips for performance
 
 * Inline methods and function when it makes sense
 
-* Make sure your Cython compilation units `use NumPy recent C API <https://github.com/scikit-learn/scikit-learn/blob/62a017efa047e9581ae7df8bbaa62cf4c0544ee4/setup.py#L64-L70>`_.
 # Always use NumPy 1.7 C API for all compiled extensions. 
 # See: https://numpy.org/doc/stable/reference/c-api/deprecations.html 
 DEFINE_MACRO_NUMPY_C_API = ( 
     "NPY_NO_DEPRECATED_API", 
     "NPY_1_7_API_VERSION", 
 ) 
 for ext in self.extensions: 
     ext.define_macros.append(DEFINE_MACRO_NUMPY_C_API) 
 # Always use NumPy 1.7 C API for all compiled extensions. 
 # See: https://numpy.org/doc/stable/reference/c-api/deprecations.html 
 DEFINE_MACRO_NUMPY_C_API = ( 
     "NPY_NO_DEPRECATED_API", 
     "NPY_1_7_API_VERSION", 
 ) 
 for ext in self.extensions: 
     ext.define_macros.append(DEFINE_MACRO_NUMPY_C_API) 
-
 * In doubt, read the generated C or C++ code if you can: "The fewer C instructions and indirections
   for a line of Cython code, the better" is a good rule of thumb.
 

diff --git a/doc/developers/performance.rst b/doc/developers/performance.rst
@@ -72,20 +72,6 @@ following:
    parallelism** that is amenable to **multi-processing** by using the
    ``joblib.Parallel`` class.
 
-When using Cython, use either
-
-.. prompt:: bash $
-
-  python setup.py build_ext -i
-  python setup.py install
-
-to generate C files. You are responsible for adding .c/.cpp extensions along
-with build parameters in each submodule ``setup.py``.
-
-C/C++ generated files are embedded in distributed stable packages. The goal is
-to make it possible to install scikit-learn stable version
-on any machine with Python, Numpy, Scipy and C/C++ compiler.
-
 .. _profiling-python-code:
 
 Profiling Python code

diff --git a/sklearn/__check_build/__init__.py b/sklearn/__check_build/__init__.py
@@ -38,8 +38,8 @@ def raise_build_error(e):
 It seems that scikit-learn has not been built correctly.
 
 If you have installed scikit-learn from source, please do not forget
-to build the package before using it: run `python setup.py install` or
-`make` in the source directory.
+to build the package before using it. For detailed instructions, see:
+https://scikit-learn.org/dev/developers/advanced_installation.html#building-from-source
 %s"""
         % (e, local_dir, "".join(dir_content).strip(), msg)
     )

diff --git a/sklearn/_loss/_loss.pyx.tp b/sklearn/_loss/_loss.pyx.tp
@@ -7,7 +7,7 @@ Template file to easily generate loops over samples using Tempita
 Generated file: _loss.pyx
 
 Each loss class is generated by a cdef functions on single samples.
-The keywords between double braces are substituted in setup.py.
+The keywords between double braces are substituted during the build.
 """
 
 doc_HalfSquaredError = (

diff --git a/sklearn/ensemble/_gradient_boosting.pyx b/sklearn/ensemble/_gradient_boosting.pyx
@@ -9,7 +9,7 @@ from scipy.sparse import issparse
 
 from ..utils._typedefs cimport float32_t, float64_t, intp_t, int32_t, uint8_t
 # Note: _tree uses cimport numpy, cnp.import_array, so we need to include
-# numpy headers, see setup.py.
+# numpy headers in the build configuration of this extension
 from ..tree._tree cimport Node
 from ..tree._tree cimport Tree
 from ..tree._utils cimport safe_realloc

diff --git a/sklearn/linear_model/_sag_fast.pyx.tp b/sklearn/linear_model/_sag_fast.pyx.tp
@@ -8,7 +8,7 @@ Template file for easily generate fused types consistent code using Tempita
 Generated file: sag_fast.pyx
 
 Each class is duplicated for all dtypes (float and double). The keywords
-between double braces are substituted in setup.py.
+between double braces are substituted during the build.
 
 Authors: Danny Sullivan <dbsullivan23@gmail.com>
          Tom Dupre la Tour <tom.dupre-la-tour@m4x.org>

diff --git a/sklearn/linear_model/_sgd_fast.pyx.tp b/sklearn/linear_model/_sgd_fast.pyx.tp
@@ -7,7 +7,7 @@ Template file to easily generate fused types consistent code using Tempita
 Generated file: _sgd_fast.pyx
 
 Each relevant function is duplicated for the dtypes float and double.
-The keywords between double braces are substituted in setup.py.
+The keywords between double braces are substituted during the build.
 
 Authors: Peter Prettenhofer <peter.prettenhofer@gmail.com>
          Mathieu Blondel (partial_fit support)

diff --git a/sklearn/utils/_seq_dataset.pxd.tp b/sklearn/utils/_seq_dataset.pxd.tp
@@ -9,7 +9,7 @@ Template file for easily generate fused types consistent code using Tempita
 Generated file: _seq_dataset.pxd
 
 Each class is duplicated for all dtypes (float and double). The keywords
-between double braces are substituted in setup.py.
+between double braces are substituted during the build.
 """
 
 # name_suffix, c_type

diff --git a/sklearn/utils/_seq_dataset.pyx.tp b/sklearn/utils/_seq_dataset.pyx.tp
@@ -8,7 +8,7 @@ Template file for easily generate fused types consistent code using Tempita
 Generated file: _seq_dataset.pyx
 
 Each class is duplicated for all dtypes (float and double). The keywords
-between double braces are substituted in setup.py.
+between double braces are substituted during the build.
 
 Author: Peter Prettenhofer <peter.prettenhofer@gmail.com>
         Arthur Imbert <arthurimbert05@gmail.com>

diff --git a/sklearn/utils/_weight_vector.pxd.tp b/sklearn/utils/_weight_vector.pxd.tp
@@ -9,7 +9,7 @@ Template file for easily generate fused types consistent code using Tempita
 Generated file: weight_vector.pxd
 
 Each class is duplicated for all dtypes (float and double). The keywords
-between double braces are substituted in setup.py.
+between double braces are substituted during the build.
 """
 
 # name_suffix, c_type

diff --git a/sklearn/utils/_weight_vector.pyx.tp b/sklearn/utils/_weight_vector.pyx.tp
@@ -9,7 +9,7 @@ Template file for easily generate fused types consistent code using Tempita
 Generated file: weight_vector.pxd
 
 Each class is duplicated for all dtypes (float and double). The keywords
-between double braces are substituted in setup.py.
+between double braces are substituted during the build.
 """
 
 # name_suffix, c_type, reset_wscale_threshold