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mechanism-learn

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1.0.1

mechanism_learn-1.0.1-py3-none-any.whl

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Project:	mechanism-learn
Version:	1.0.1
Filename:	mechanism_learn-1.0.1-py3-none-any.whl
Download:	[link]
Size:	3421
MD5:	`9eb3420a1f89aeb01907917e38018380`
SHA256:	`326891e1f2ad81f5fd57c740f6443c413e3c294996375a7c82e48fbbc1847b31`
Uploaded:	2024-10-26 13:42:32 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	mechanism-learn
Version:	1.0.1
Summary:	Mechanism-learn is a simple method which uses front-door causal bootstrapping to deconfound observational data such that any appropriate machine learning model is forced to learn predictive relationships between effects and their causes (reverse causal inference), despite the potential presence of multiple unknown and unmeasured confounding. The library is compatible with most existing ML deployments such as models built with Scikit-learn and Keras.
Author:	Jianqiao Mao
Author-Email:	jxm1417[at]student.bham.ac.uk
Home-Page:	https://github.com/JianqiaoMao/CausalBootstrapping
License:	GPL-3.0
Requires-Dist:	causalBootstrapping
Requires-Dist:	grapl-causal
Requires-Dist:	scipy
Requires-Dist:	graphviz

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WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.42.0)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

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mechanism_learn-1.0.1.dist-info/RECORD	—	—

top_level.txt

mechanismlearn