from setuptools import setup, Command
import os
import sys



setup(name='xgbm',
      version='0.0.1',
      description='eXplainable Gradient Boosting Models',
      url='https://github.com/firmai/xgbm',
      author='snowde',
      author_email='d.snow@firmai.org',
      license='MIT',
      packages=['xgbm'],
      install_requires=[

            "cachetools==4.0.0",
            "Cython==0.29.14",
            "dataclasses==0.7",
            "DateTime==4.3",
            "decorator==4.4.1",
            "easydict==1.9",
            "fbprophet==0.5",
            "gluonts==0.4.2",
            "gunicorn==20.0.4",
            "Keras==2.2.5",
            "lightgbm==2.2.3",
            "matplotlib==3.1.2",
            "mxnet-cu100==1.4.1",
            "numba==0.47.0",
            "numexpr==2.7.1",
            "pandas==0.25.3",
            "pip-tools==4.2.0",
            "pmdarima==1.5.2",
            "psutil==5.4.8",
            "psycopg2==2.7.6.1",
            "scikit-learn==0.22.1",
            "scipy==1.4.1",
            "seaborn==0.9.1",
            "sklearn==0.0",
            "statsmodels==0.10.2",
            "sympy==1.1.1",
            "tbats==1.0.9",
            "tblib==1.6.0",
            "tensorflow==1.15.0",
            "tflearn==0.3.2",
            "torch==1.4.0",
            "tqdm==4.28.1",
            "tsfresh==0.14.1",
            "tweepy==3.6.0",
            "typing==3.6.6",
            "typing-extensions==3.6.6",
            "xlrd==1.1.0",
            "seasonal==0.3.1",
            "nbeats-pytorch==1.3.0",
            "gluonts==0.4.2",
            "numpy==1.17.4"],
            
      zip_safe=False)
