Full pyproject conversion (#1065)

* add pyproject.toml to support PEP 518

* Fix mlxtend importing itself during installation

* Convert to pyproject.toml for project informaiton

docs/sources/CHANGELOG.md

@@ -21,6 +21,9 @@ The CHANGELOG for the current development version is available at
 
 - Address NumPy deprecations to make mlxtend compatible to NumPy 1.24 
 - Changed the signature of the `LinearRegression` model of sklearn in the test removing the `normalize` parameter as it is deprecated. ([#1036](https://github.com/rasbt/mlxtend/issues/1036))
+- Add `pyproject.toml` to support PEP 518 builds
+- Fixed installation from sdist failing
+- Converted configuration to `pyproject.toml` 
 
 ##### New Features and Enhancements
 
@@ -951,4 +954,4 @@ imput arrays via `transform` and `fit_transform`
 
 ### Version 0.1.1 (2014-08-13)
 
-- Simplified code for ColumnSelector.
+- Simplified code for ColumnSelector.

docs/sources/CONTRIBUTING.md

@@ -446,18 +446,23 @@ Consider deploying the package to the PyPI test server first. The setup instruct
 **First**, install Twine if  you don't have it already installed. E.g., use the following to install all recommended packages:
 
 ```bash
-$ conda install wheel twine setuptools
+$ python -m pip install twine build
 ```
 
-
-**Second**, create the binaries
+**Second**, create the distribution. This by default creates an sdist and wheel
+in the ``./dist`` directory.
 
 ```bash
-$ python setup.py sdist
+$ python -m build
 ```
 
+Install the wheel and sdist to make sure they work.
+The distributions file names will change with each version.
+
 ```bash
-$ python setup.py bdist_wheel --universal
+python -m pip install ./dist/mlxtend-0.23.0.dev0.tar.gz --force-reinstall
+python -m pip install ./dist/mlxtend-0.23.0.dev0-py3-none-any.whl --force-reinstall
+python -m pip uninstall mlxtend
 ```
 
 **Third**, upload the packages to the test server:

pyproject.toml

@@ -0,0 +1,58 @@
+[build-system]
+requires = [
+  "setuptools >= 59.0.0",
+]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "mlxtend"
+authors = [
+    {name = "Sebastian Raschka", email = "[email protected]"}
+]
+description="Machine Learning Library Extensions"
+dynamic = ["version", "dependencies"]
+license= {text = "BSD 3-Clause"}
+readme = "README.md"
+classifiers=[
+    "License :: OSI Approved :: BSD License",
+    "Development Status :: 5 - Production/Stable",
+    "Operating System :: Microsoft :: Windows",
+    "Operating System :: POSIX",
+    "Operating System :: Unix",
+    "Operating System :: MacOS",
+    "Programming Language :: Python :: 3.7",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Topic :: Scientific/Engineering",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    "Topic :: Scientific/Engineering :: Information Analysis",
+    "Topic :: Scientific/Engineering :: Image Recognition",
+]
+
+[project.optional-dependencies]
+testing = ["pytest"]
+docs = ["mkdocs"]
+
+[project.urls]
+Homepage = "https://github.com/rasbt/mlxtend"
+Documentation = "https://rasbt.github.io/mlxtend"
+Repository = "https://github.com/rasbt/mlxtend"
+
+[tool.setuptools]
+platforms = ["any"]
+
+[tool.setuptools.dynamic]
+version = {attr = "mlxtend.__version__"}
+dependencies = {file = "requirements.txt"}
+
+[tool.setuptools.package-data]
+"*" = ["LICENSE-BSD3.txt", "LICENSE-CC-BY.txt", "README.md", "requirements.txt"]
+
+[tool.pytest.ini_options]
+norecursedirs = [
+    "plotting/*",
+    "image/*",
+    "build/",
+]