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author = 'Pedro Seber, forked from code by Vicky Sun',
author_email = 'pseber@mit.edu',
license = 'MIT',
version = '1.5.0',
description = 'Smart Process Analytics (SPA) is a software package for automatic machine learning. Given user-input data (and optional user preferences), SPA automatically cross-validates and tests ML and DL models. Model types are selected based on the properties of the data, minimizing the risk of data-specific variance.',
zip_safe = False,
packages = find_packages(where = 'Code-SPA', include = ['SPA.py']),
package_dir = {'': 'Code-SPA'},
# Note: other versions of these packages most likely also work, but we have not determined what are the minimum version requirements
install_requires = [
'notebook>=6.4.11',
'scikit-learn>=1.0.2',
'matplotlib>=3.5.1',
'pandas>=1.4.2',
'statsmodels>=0.13.2',
'seaborn>=0.11.2',
'openpyxl>=3.0.9',
'xlrd>=2.0.1',
'ace-cream>=0.4', # Comment out this line if you are on Windows and having trouble installing ace-cream.