dowhy | Python library for causal inference

by py-why Python Version: 0.11.1 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions Vulnerabilities Install Support

kandi X-RAY | dowhy Summary

dowhy is a Python library. dowhy has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However dowhy build file is not available. You can install using 'pip install dowhy' or download it from GitHub, PyPI.

|BuildStatus|_ |PyPiVersion|_ |PythonSupport|_ |Downloads|_.

Support

Quality

Security

License

Reuse

Support

dowhy has a medium active ecosystem.

It has 5916 star(s) with 836 fork(s). There are 139 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 116 open issues and 256 have been closed. On average issues are closed in 23 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dowhy is 0.11.1

Quality

dowhy has no bugs reported.

Security

dowhy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

dowhy is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

dowhy releases are available to install and integrate.

Deployable package is available in PyPI.

dowhy has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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dowhy Key Features

No Key Features are available at this moment for dowhy.

dowhy Examples and Code Snippets

DoWhy:: Causal Inference in observational data

Python

Lines of Code : 45

License : Strong Copyleft (CC BY-SA 4.0)

Copy

causal_df = df.causal.do('tenure', 
                          method = 'weighting', 
                          variable_types = {'Churn': 'd', 'tenure': 'd', 'nr_login',  'c','avg_movies': 'c'},
                          outcome='Churn',co

Community Discussions

No Community Discussions are available at this moment for dowhy.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install dowhy

You can install using 'pip install dowhy' or download it from GitHub, PyPI.
You can use dowhy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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