# -*- coding: utf-8 -*-

"""Automated Tool for Optimized Modelling (ATOM).

Author: Mavs
Description: Package's setup code.

"""

import os
import setuptools


this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, "README.md"), encoding="utf-8") as f:
    long_description = f.read()

setuptools.setup(
    name="atom-ml",
    version="v4.5.0",
    license="MIT",
    description="A Python package for fast exploration of machine learning pipelines",
    download_url="https://github.com/tvdboom/ATOM/archive/v4.5.0.tar.gz",
    url="https://github.com/tvdboom/ATOM",
    author="tvdboom",
    author_email="m.524687@gmail.com",
    keywords=["Python package", "Machine Learning", "Modelling", "Data Pipeline"],
    long_description=long_description,
    long_description_content_type="text/markdown",
    packages=["atom"],
    classifiers=[
        "Programming Language :: Python :: 3.6",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
    ],
    install_requires=[
        "numpy >= 1.19.5",
        "scipy >= 1.4.1",
        "pandas >= 1.0.3",
        "mlflow >= 1.15.0",
        "dill >= 0.3.3",
        "tqdm >= 4.35.0",
        "joblib >= 0.16.0",
        "typeguard >= 2.7.1",
        "tabulate >= 0.8.6",
        "scikit-learn >= 0.24",
        "scikit-optimize >= 0.8.1",
        "nltk >= 3.6.2",
        "tpot >= 0.11.7",
        "category-encoders >= 2.1.0",
        "imbalanced-learn >= 0.5.0",
        "pandas-profiling >= 2.3.0",
        "featuretools >= 0.17.0",
        "gplearn >= 0.4.1",
        "matplotlib >= 3.3.0",
        "seaborn >= 0.10.0",
        "shap >= 0.38.1",
        "wordcloud >= 1.8.1",
    ],
    extras_require={
        "models": [
            "xgboost >= 0.90",
            "lightgbm >= 2.3.0",
            "catboost >= 0.19.1"
        ]
    },
    test_require=[
        "pytest >= 6.1.2",
        "tensorflow >= 2.3.1",
        "keras >= 2.4.3"
    ],
    python_requires=">=3.6"
)

fa2ce3bd11c4680e7c8eb54a33810e33537f8bc9
<mask token>

<mask token>
with open(os.path.join(this_directory, 'README.md'), encoding='utf-8') as f:
    long_description = f.read()
setuptools.setup(name='atom-ml', version='v4.5.0', license='MIT',
    description=
    'A Python package for fast exploration of machine learning pipelines',
    download_url='https://github.com/tvdboom/ATOM/archive/v4.5.0.tar.gz',
    url='https://github.com/tvdboom/ATOM', author='tvdboom', author_email=
    'm.524687@gmail.com', keywords=['Python package', 'Machine Learning',
    'Modelling', 'Data Pipeline'], long_description=long_description,
    long_description_content_type='text/markdown', packages=['atom'],
    classifiers=['Programming Language :: Python :: 3.6',
    'Programming Language :: Python :: 3.7',
    'Programming Language :: Python :: 3.8',
    'Programming Language :: Python :: 3.9',
    'Topic :: Scientific/Engineering :: Artificial Intelligence',
    'License :: OSI Approved :: MIT License',
    'Operating System :: OS Independent'], install_requires=[
    'numpy >= 1.19.5', 'scipy >= 1.4.1', 'pandas >= 1.0.3',
    'mlflow >= 1.15.0', 'dill >= 0.3.3', 'tqdm >= 4.35.0',
    'joblib >= 0.16.0', 'typeguard >= 2.7.1', 'tabulate >= 0.8.6',
    'scikit-learn >= 0.24', 'scikit-optimize >= 0.8.1', 'nltk >= 3.6.2',
    'tpot >= 0.11.7', 'category-encoders >= 2.1.0',
    'imbalanced-learn >= 0.5.0', 'pandas-profiling >= 2.3.0',
    'featuretools >= 0.17.0', 'gplearn >= 0.4.1', 'matplotlib >= 3.3.0',
    'seaborn >= 0.10.0', 'shap >= 0.38.1', 'wordcloud >= 1.8.1'],
    extras_require={'models': ['xgboost >= 0.90', 'lightgbm >= 2.3.0',
    'catboost >= 0.19.1']}, test_require=['pytest >= 6.1.2',
    'tensorflow >= 2.3.1', 'keras >= 2.4.3'], python_requires='>=3.6')

<mask token>
this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, 'README.md'), encoding='utf-8') as f:
    long_description = f.read()
setuptools.setup(name='atom-ml', version='v4.5.0', license='MIT',
    description=
    'A Python package for fast exploration of machine learning pipelines',
    download_url='https://github.com/tvdboom/ATOM/archive/v4.5.0.tar.gz',
    url='https://github.com/tvdboom/ATOM', author='tvdboom', author_email=
    'm.524687@gmail.com', keywords=['Python package', 'Machine Learning',
    'Modelling', 'Data Pipeline'], long_description=long_description,
    long_description_content_type='text/markdown', packages=['atom'],
    classifiers=['Programming Language :: Python :: 3.6',
    'Programming Language :: Python :: 3.7',
    'Programming Language :: Python :: 3.8',
    'Programming Language :: Python :: 3.9',
    'Topic :: Scientific/Engineering :: Artificial Intelligence',
    'License :: OSI Approved :: MIT License',
    'Operating System :: OS Independent'], install_requires=[
    'numpy >= 1.19.5', 'scipy >= 1.4.1', 'pandas >= 1.0.3',
    'mlflow >= 1.15.0', 'dill >= 0.3.3', 'tqdm >= 4.35.0',
    'joblib >= 0.16.0', 'typeguard >= 2.7.1', 'tabulate >= 0.8.6',
    'scikit-learn >= 0.24', 'scikit-optimize >= 0.8.1', 'nltk >= 3.6.2',
    'tpot >= 0.11.7', 'category-encoders >= 2.1.0',
    'imbalanced-learn >= 0.5.0', 'pandas-profiling >= 2.3.0',
    'featuretools >= 0.17.0', 'gplearn >= 0.4.1', 'matplotlib >= 3.3.0',
    'seaborn >= 0.10.0', 'shap >= 0.38.1', 'wordcloud >= 1.8.1'],
    extras_require={'models': ['xgboost >= 0.90', 'lightgbm >= 2.3.0',
    'catboost >= 0.19.1']}, test_require=['pytest >= 6.1.2',
    'tensorflow >= 2.3.1', 'keras >= 2.4.3'], python_requires='>=3.6')

<mask token>
import os
import setuptools
this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, 'README.md'), encoding='utf-8') as f:
    long_description = f.read()
setuptools.setup(name='atom-ml', version='v4.5.0', license='MIT',
    description=
    'A Python package for fast exploration of machine learning pipelines',
    download_url='https://github.com/tvdboom/ATOM/archive/v4.5.0.tar.gz',
    url='https://github.com/tvdboom/ATOM', author='tvdboom', author_email=
    'm.524687@gmail.com', keywords=['Python package', 'Machine Learning',
    'Modelling', 'Data Pipeline'], long_description=long_description,
    long_description_content_type='text/markdown', packages=['atom'],
    classifiers=['Programming Language :: Python :: 3.6',
    'Programming Language :: Python :: 3.7',
    'Programming Language :: Python :: 3.8',
    'Programming Language :: Python :: 3.9',
    'Topic :: Scientific/Engineering :: Artificial Intelligence',
    'License :: OSI Approved :: MIT License',
    'Operating System :: OS Independent'], install_requires=[
    'numpy >= 1.19.5', 'scipy >= 1.4.1', 'pandas >= 1.0.3',
    'mlflow >= 1.15.0', 'dill >= 0.3.3', 'tqdm >= 4.35.0',
    'joblib >= 0.16.0', 'typeguard >= 2.7.1', 'tabulate >= 0.8.6',
    'scikit-learn >= 0.24', 'scikit-optimize >= 0.8.1', 'nltk >= 3.6.2',
    'tpot >= 0.11.7', 'category-encoders >= 2.1.0',
    'imbalanced-learn >= 0.5.0', 'pandas-profiling >= 2.3.0',
    'featuretools >= 0.17.0', 'gplearn >= 0.4.1', 'matplotlib >= 3.3.0',
    'seaborn >= 0.10.0', 'shap >= 0.38.1', 'wordcloud >= 1.8.1'],
    extras_require={'models': ['xgboost >= 0.90', 'lightgbm >= 2.3.0',
    'catboost >= 0.19.1']}, test_require=['pytest >= 6.1.2',
    'tensorflow >= 2.3.1', 'keras >= 2.4.3'], python_requires='>=3.6')

# -*- coding: utf-8 -*-

"""Automated Tool for Optimized Modelling (ATOM).

Author: Mavs
Description: Package's setup code.

"""

import os
import setuptools


this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, "README.md"), encoding="utf-8") as f:
    long_description = f.read()

setuptools.setup(
    name="atom-ml",
    version="v4.5.0",
    license="MIT",
    description="A Python package for fast exploration of machine learning pipelines",
    download_url="https://github.com/tvdboom/ATOM/archive/v4.5.0.tar.gz",
    url="https://github.com/tvdboom/ATOM",
    author="tvdboom",
    author_email="m.524687@gmail.com",
    keywords=["Python package", "Machine Learning", "Modelling", "Data Pipeline"],
    long_description=long_description,
    long_description_content_type="text/markdown",
    packages=["atom"],
    classifiers=[
        "Programming Language :: Python :: 3.6",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
    ],
    install_requires=[
        "numpy >= 1.19.5",
        "scipy >= 1.4.1",
        "pandas >= 1.0.3",
        "mlflow >= 1.15.0",
        "dill >= 0.3.3",
        "tqdm >= 4.35.0",
        "joblib >= 0.16.0",
        "typeguard >= 2.7.1",
        "tabulate >= 0.8.6",
        "scikit-learn >= 0.24",
        "scikit-optimize >= 0.8.1",
        "nltk >= 3.6.2",
        "tpot >= 0.11.7",
        "category-encoders >= 2.1.0",
        "imbalanced-learn >= 0.5.0",
        "pandas-profiling >= 2.3.0",
        "featuretools >= 0.17.0",
        "gplearn >= 0.4.1",
        "matplotlib >= 3.3.0",
        "seaborn >= 0.10.0",
        "shap >= 0.38.1",
        "wordcloud >= 1.8.1",
    ],
    extras_require={
        "models": [
            "xgboost >= 0.90",
            "lightgbm >= 2.3.0",
            "catboost >= 0.19.1"
        ]
    },
    test_require=[
        "pytest >= 6.1.2",
        "tensorflow >= 2.3.1",
        "keras >= 2.4.3"
    ],
    python_requires=">=3.6"
)
