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0.2.0.9 tscausalinference-0.2.0.9-py3-none-any.whl

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Project: tscausalinference
Version: 0.2.0.9
Filename: tscausalinference-0.2.0.9-py3-none-any.whl
Download: [link]
Size: 28791
MD5: 235eedcc3342b4960538b961e0892fcb
SHA256: c93499f2a7514843f2e58fd000c036e09e42dbaa20ef517779aa23ae57d8868d
Uploaded: 2023-04-17 13:23:37 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: tscausalinference
Version: 0.2.0.9
Summary: Bootstrap random walk simulations methodoly applied on top of Facebook Prophet to analyse causal effects
Author: Carlos Trujillo
Author-Email: carlangastr[at]gmail.com
Keywords: python,causalimpact,causal inference,marketing,prophet,bootstrap,monte carlo random walks
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: prophet
Requires-Dist: scipy
Requires-Dist: tabulate
Requires-Dist: statsmodels
Requires-Dist: seaborn
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 10014 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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tscausalinference/bootstrap.py sha256=blLaYUExw6wKgRrbidMvSa1rFwWQGIsJLotZO0BN_nM 10838
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tscausalinference/sensitivity_regression.py sha256=ioc8wcxOuKGfS9xEMkB3WaJm9rNtKAThuPFrjcQtd-M 9672
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tscausalinference-0.2.0.9.dist-info/RECORD — —

top_level.txt

tscausalinference