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setup.py
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setup.py
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import numpy as np
import pandas as pd
import scanpy as sc
import random
from anndata import read_h5ad
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.feature_selection import SelectFromModel
from sklearn.metrics import accuracy_score
from sklearn.inspection import permutation_importance
from sklearn.feature_selection import RFE
from sklearn.feature_selection import RFECV
import seaborn as sns
import matplotlib.pyplot as plt
import scanpy.external as sce
import logging as logg
from setuptools import setup, find_packages
from tqdm import tqdm
setup(
name = 'scRFE', # How you named your package folder (MyLib)
packages = ['scRFE'], # Chose the same as "name"
version = '1.5.6', # Start with a small number and increase it with every change you make
license='MIT', # Chose a license from here: https://help.github.com/articles/licensing-a-repository
description = "Single-cell identity definition using random forests and recursive feature elimination",
long_description = "Single-cell identity definition using random forests and recursive feature elimination",
author = 'Madeline Park', # Type in your name
author_email = 'madeline.park@czbiohub.org', # Type in your E-Mail
url = "https://github.com/czbiohub/scRFE", # Provide either the link to your github or to your website
#download_url = 'https://github.com/czbiohub/scRFE/archive/1.5.1.tar.gz', # I explain this later on
keywords = ("pip", "single-cell", "scRFE"), # Keywords that define your package best
# packages = find_packages(),
include_package_data = True,
platforms = "any",
install_requires=[
'anndata>= 0.6.21',
'matplotlib>=3.1.1',
'numpy>=1.16.4',
'scikit-learn>=0.20.3',
'scanpy>=1.4.3',
'pandas>=0.24.2',
'seaborn>=0.9.0',
'tqdm>=4.42.1'
],
classifiers=[
'License :: OSI Approved :: MIT License', # Again, pick a license
'Programming Language :: Python :: 3.6', #Specify which pyhton versions that you want to support
'Programming Language :: Python :: 3.7',
],
)
#
# setup(
# name = "scRFE",
# version = "1.4.0",
# keywords = ("pip", "single cell", "scRFE"),
# description = "Single-cell identity definition using random forest modelling and recursive feature elimination",
# long_description = "Single-cell identity one vs all classification using random forest modelling and recursive feature elimination",
# license = "MIT Licence",
#
# url = "https://github.com/czbiohub/scRFE",
# author = "Madeline Park",
# author_email = "madeline.park@czbiohub.org",
#
# packages = find_packages(),
# include_package_data = True,
# platforms = "any",
# install_requires=[
# 'anndata>= 0.6.21',
# 'matplotlib>=3.1.1',
# 'numpy>=1.16.4',
# 'scikit-learn>=0.20.3',
# 'scanpy>=1.4.3',
# 'pandas>=0.24.2'
#
# ]
# )