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A Python package to run WizMap in your computational notebooks.

Project description

WizMap

build npm license

Exploring and interpreting large embeddings in your browser!

🚀 Live Demo 📺 Demo Video

What is WizMap?

WizMap is a scalable interactive visualization tool to help you easily explore large machine learning embeddings. With a novel multi-resolution embedding summarization method and a familiar map-like interaction design, WizMap allows you to navigate and interpret embedding spaces with ease.

Web Demo

For a live web demo, visit: https://poloclub.github.io/wizmap.

Get Started

Clone or download this repository:

git clone git@github.com:poloclub/wizmap.git

Install the dependencies:

npm install

Then run WizMap:

npm run dev

Navigate to localhost:3000. You should see WizMap running in your browser :)

Use My Dataset

To use WizMap with your dataset, you can check out this notebook to see how to create three JSON files to set up WizMap. These three JSON files contain pre-computed embedding summaries, embedding distributions, and original embedding data in a streamable format.

Credits

WizMap is created by Jay Wang, Fred Hohman, and Polo Chau.

License

The software is available under the MIT License.

Contact

If you have any questions, feel free to open an issue or contact Jay Wang.

Project details


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