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Create an explainable AI dashboard for your machine learning model. plsexplain, or please, explain is a question that you may want to ask your computer after you've trained a machine learning model.


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Getting started

You can install this tool as a python package on your machine by using the following command in your favorite shell:

pip install plsexplain

After you've installed the package, use the following command to get an explainable AI dashboard for your trained model:

plsexplain <path-to-model> <path-to-sample-set>

Currently, we support models trained with scikit-learn, but we're planning on supporting tensorflow and pytorch as well.

The sample set, is a small dataset containing samples you want to use in the dashboard for explanations based on sample data. We only support using CSV files at the moment.

Documentation

Please refer to the documentation for more information on how to use the tool for various types of models and sample datasets.

📖 Read the documentation

Contributing

We welcome contributions to this project. Please refer to the developer guide for more information on how to submit issues and pull requests for this project.

🛠 Read the developer guide

Code of conduct

Please make sure to follow our code of conduct when interacting with other contributors on this project.

Metadata

Release files for plsexplain 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for plsexplain 0.2.0
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Table of built distributions (wheels) for plsexplain 0.2.0
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plsexplain-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 17.1 MB

Release files / plsexplain-0.2.0.tar.gz

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Size 8.6 MB
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