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JsonGrinder.jl is a library that facilitates processing of JSON documents into Mill.jl structures for machine learning. It provides functionality for JSON schema inference, extraction of JSON documents to a suitable representation for machine learning, and constructing a model operating on this data.

Watch our introductory talk from JuliaCon 2021.

Installation

Run the following in REPL:

] add JsonGrinder

Getting Started

Citation

Kindly cite our work with the following entries if you find it interesting, please:

  • JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data

    @article{Mandlik2021,
      author  = {Šimon Mandlík and Matěj Račinský and Viliam Lisý and Tomáš Pevný},
      title   = {JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data},
      journal = {Journal of Machine Learning Research},
      year    = {2022},
      volume  = {23},
      number  = {298},
      pages   = {1--5},
      url     = {http://jmlr.org/papers/v23/21-0174.html}
    }
    
  • Malicious Internet Entity Detection Using Local Graph Inference (practical Mill.jl and JsonGrinder.jl application)

    @article{Mandlik2024,
      author  = {Mandlík, Šimon and Pevný, Tomáš and Šmídl, Václav and Bajer, Lukáš},
      journal = {IEEE Transactions on Information Forensics and Security},
      title   = {Malicious Internet Entity Detection Using Local Graph Inference},
      year    = {2024},
      volume  = {19},
      pages   = {3554-3566},
      doi     = {10.1109/TIFS.2024.3360867}
    }
    
  • this implementation (fill in the used version):

    @software{JsonGrinder,
      author  = {Tomas Pevny and Matej Racinsky and Simon Mandlik},
      title   = {JsonGrinder.jl: a flexible library for automated feature engineering and conversion of JSONs to Mill.jl structures},
      url     = {https://github.com/CTUAvastLab/JsonGrinder.jl},
      version = {...},
    }
    

Contribution guidelines

If you want to contribute to JsonGrinder.jl, be sure to review the contribution guidelines.

We use GitHub issues for tracking requests and bugs.