/FAIKR-Module3-Project

Project for the exams of FAIKR Module 3, Master in AI at UNIBO

Primary LanguageJupyter Notebook

FAIKR Module 3 Project

This repo is for the project of the exam of Fundamendals of AI and Knowledge Representation Module 3 from UNIBO.

Content

  • Files
    • BuildingBayesianNetwork.ipynb: this file contains the implementation of the TPDA algorithm, all the benchmarks and the plots.
    • BuildingBayesianNetwork.py: in this file I implemented all the procedures useful for the TPDA algorithm in order to make the notebook more readable.
    • synthetic_data.py: simple python script to generate a dataset by sampling a Bayesian network.
  • Folders:
    • data: contains the original data used for the experiments. For the source referer to the report.
    • plots: contains the resulting plots.
    • results: contains the results in JSON format.

Contact

Feel free to contact me at luca.domeniconi5@studio.unibo.it