Ankur Ankan

Tutorial notebooks for Linear Gaussian Bayesian Networks

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We currently have an example notebook: https://pgmpy.org/examples/Creating%20a%20Discrete%20Bayesian%20Network.html for creating discrete Bayesian networks but not for Linear Gaussian BNs. Write a similar notebook with tutorial on creating gaussian bayesian networks.

Extend Structure Learning notebook to include continuous and mixed variable data

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The structure learning tutorial notebook: https://pgmpy.org/examples/Structure%20Learning%20in%20Bayesian%20Networks.html is outdated and only considers discrete data. However, both PC and Hill Climb Search now supports continuous and mixed data. Extend this tutorial to...

### Your checklist for this pull request Please review the [guidelines for contributing](CONTRIBUTING.md) to this repository. - [ ] Make sure you are requesting to **pull a topic/feature/bugfix branch** (right...

Currently, causal discovery algorithms have arguments to specify expert knowledge. We want to modularize this interface by creating an ExpertKnowledge class that the user can define. This ExpertKnowledge object can...

### Your checklist for this pull request Please review the [guidelines for contributing](CONTRIBUTING.md) to this repository. - [ ] Make sure you are requesting to **pull a topic/feature/bugfix branch** (right...

### Your checklist for this pull request Please review the [guidelines for contributing](CONTRIBUTING.md) to this repository. - [ ] Make sure you are requesting to **pull a topic/feature/bugfix branch** (right...

As the size of the CPD of a given node is exponential in the number of parents, it can very quickly grow (and result in memory issues) when the number...