CausalNex: An open-source Python library that helps data scientists to infer causation rather than observing correlation

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CausalNex is a Python library that allows data scientists and domain experts to co-develop models that go beyond correlation and consider causal relationships. ‘CasualNex’ provides a practical ‘what if’ library which is deployed to test scenarios using Bayesian Networks (BNs).

‘CasualNex’ prepares practitioners to understand structural relationships from data and helps in the verification for accuracy of the relationships between different data sets. Apart from practitioners understanding the structural relationship from data, it also enables domain experts to fit conditional probability distributions and study the effect of potential interventions.

‘CasualNex’ helps to simplify the following steps:

  • To learn causal structures,
  • To allow domain experts to augment the relationships,
  • To estimate the effects of potential interventions using data.

Understanding The Why Behind The Data

Image source: https://medium.com/@QuantumBlack/introducing-causalnex-driving-models-which-respect-cause-and-effect-a561545f0a5e

Installation

CausalNex is a Python package. Run it:

pip install causalnex

GitHub: https://github.com/quantumblacklabs/causalnex
Documentation: https://causalnex.readthedocs.io/

Related Paper: https://papers.nips.cc/paper/8157-dags-with-no-tears-continuous-optimization-for-structure-learning.pdf

Asif Razzaqhttp://www.marktechpost.com
Asif Razzaq is an AI Journalist and Cofounder of Marktechpost, LLC. He is a visionary, entrepreneur and engineer who aspires to use the power of Artificial Intelligence for good. Asif's latest venture is the development of an Artificial Intelligence Media Platform (Marktechpost) that will revolutionize how people can find relevant news related to Artificial Intelligence, Data Science and Machine Learning. Asif was featured by Onalytica in it’s ‘Who’s Who in AI? (Influential Voices & Brands)’ as one of the 'Influential Journalists in AI' (https://onalytica.com/wp-content/uploads/2021/09/Whos-Who-In-AI.pdf). His interview was also featured by Onalytica (https://onalytica.com/blog/posts/interview-with-asif-razzaq/).

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