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setup.cfg
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setup.cfg
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[pycodestyle]
ignore=E402,W504
max-line-length=119
[pydocstyle]
; Use numpy style
convention=numpy
[build_sphinx]
version = 0.8.0b1
[metadata]
name = econml
version = 0.8.0b1
author = Microsoft Corporation
description = This package contains several methods for calculating Conditional Average Treatment Effects
long_description = file: README.md
long_description_content_type = text/markdown
license = MIT
keywords = treatment-effect
url = https://github.com/Microsoft/EconML
project_urls =
Bug Tracker=https://github.com/Microsoft/EconML/Issues
Source Code=https://github.com/Microsoft/EconML
Documentation=https://econml.azurewebsites.net/
classifiers =
Programming Language :: Python :: 3.5
Programming Language :: Python :: 3.6
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
License :: OSI Approved :: MIT License
Operating System :: OS Independent
[options]
packages = find_namespace:
setup_requires =
pytest-runner
sphinx < 3.2
sphinx_rtd_theme
install_requires =
numpy
scipy != 1.4.0
scikit-learn > 0.21.0
keras < 2.4
sparse
tensorflow > 1.10, < 2.3
joblib >= 0.13.0
numba != 0.42.1
statsmodels >= 0.9
graphviz
matplotlib < 3.1; python_version <= '3.5'
matplotlib; python_version > '3.5'
llvmlite < 0.32; python_version <= '3.5'
pandas < 1.1
test_suite = econml.tests
tests_require =
pytest
pytest-xdist
pytest-cov
jupyter
nbconvert < 6
traitlets < 5; python_version <= '3.5'
seaborn
lightgbm
dowhy
[options.extras_require]
automl =
azureml-sdk[explain,automl] == 1.0.83
azure-cli
; TODO: exclude tests?
[options.packages.find]
include =
econml
econml.*
[options.package_data]
; include all CSV files as data
* = *.csv
[tool:pytest]
addopts = --junitxml=junit/test-results.xml -n auto --strict --cov-config=setup.cfg --cov=econml --cov-report=xml
markers =
slow
notebook
automl
; coverage configuration
[coverage:run]
omit = econml/tests/*
branch = True
; need to explicitly add support for multiprocessing for OrthoForest
concurrency =
thread
multiprocessing