text: ################################################################################
  #                               skforecast                                     #
  #                                                                              #
  # This work by Joaquín Amat Rodrigo is licensed under a Creative Commons       #
  # Attribution 4.0 International License.                                       #
  ################################################################################
  
  import setuptools
  import os
  import skforecast
  
  VERSION = skforecast.__version__
  
  def read(fname):
      return open(os.path.join(os.path.dirname(__file__), fname)).read()
          
          
  setuptools.setup(
      name="skforecast",
      version=VERSION,
      author="Joaquin Amat Rodrigo",
      author_email="j.amatrodrigo@gmail.com",
      description="Forecasting time series with scikitlearn regressors",
      long_description=read("README.md"),
      long_description_content_type="text/markdown",
      url="https://github.com/JoaquinAmatRodrigo/skforecast",
      packages=setuptools.find_packages(),
      classifiers=[
          "Programming Language :: Python :: 3",
          "Programming Language :: Python :: 3.7",
          "Programming Language :: Python :: 3.8",
          "Programming Language :: Python :: 3.9",
          "License :: OSI Approved :: MIT License"
      ],
      install_requires=[
            'numpy>=1.20.1',
            'pandas>=1.2.2',
            'tqdm>=4.57.0',
            'scikit-learn>=0.24',
            'statsmodels>=0.12.2'
      ]
  )
  