https://github.com/iamdecode/cvplot

Understand machine learning models with Contribution-Value plots
https://github.com/iamdecode/cvplot

interpretability learning machine

Last synced: 2 months ago
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Understand machine learning models with Contribution-Value plots

• Host: GitHub
• URL: https://github.com/iamdecode/cvplot
• Owner: iamDecode
• License: bsd-2-clause
• Created: 2020-12-31T15:00:00.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2021-12-01T22:49:53.000Z (about 3 years ago)
• Last Synced: 2024-10-13T03:44:22.674Z (2 months ago)
• Topics: interpretability, learning, machine
• Language: Vue
• Homepage: https://explaining.ml/cvplots
• Size: 392 KB
• Stars: 5
• Watchers: 2
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

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README

        
#  Contribution-Value plots

The Contribution-Value plot is a visual encoding for interpreting machine learning models. [[more information]](https://explaining.ml/cvplots)

## Demo



## Installation

To install use pip:

```

$ pip install cvplot

```

If you use jupyter lab, also run:

```

$ jupyter labextension install cvplot

```

for classic jupyter notebooks, run:

```

jupyter nbextension install --py --symlink --overwrite --sys-prefix cvplot

jupyter nbextension enable --py --sys-prefix cvplot

```

## Development

For a development installation (requires npm or yarn),

```

$ git clone https://github.com/iamDecode/cvplot.git

$ cd cvplot

```

You may want to (create and) activate a virtual environment before continuing with:

```

$ pip install -e .

$ jupyter labextension install js

$ jupyter nbextension install --py --symlink --overwrite --sys-prefix cvplot

$ jupyter nbextension enable --py --sys-prefix cvplot

```

When actively developing your extension, build Jupyter Lab with the command:

```

$ jupyter lab --watch

```

This takes a minute or so to get started, but then automatically rebuilds JupyterLab when your javascript changes.

## Citation

If you want to refer to our visualization, please cite our paper using the following BibTeX entry:

```bibtex

@article{collaris2021comparative,

  title={Comparative Evaluation of Contribution-Value Plots for Machine Learning Understanding},

  author={Collaris, Dennis and van Wijk, Jarke J.},

  journal={Journal of Visualization},

  year={2021},

  issn={1875-8975},

  doi={10.1007/s12650-021-00776-w},

  url={https://doi.org/10.1007/s12650-021-00776-w}

}

```

## License

This project is licensed under the BSD 2-Clause License - see the [LICENSE](LICENSE) file for details.