ipyanchorviz

IPyAnchorViz

This is an ipywidgets implementation of the AnchorViz visualization, see _Chen, Nan-Chen, et al. "AnchorViz: Facilitating classifier error discovery through interactive semantic data exploration"

Installation

To install, use pip:

$ pip install ipyanchorviz

Development

For a development installation of the Python library:

$ git clone https://github.com/ORNL/ipyanchorviz.git
$ cd ipyanchorviz
$ pip install -e .

After pip, you need to install node (requires Node.js and Yarn version 1). This will need to be rebuilt when you make a JS change.hen you need to rebuild the JS when you make a code change. The yarn command is run first to install additional needed dependencies.

$ cd js
$ yarn
$ yarn run build

Then to have have the extension work in Jupyter notebook:

$ jupyter nbextension install --py --symlink --overwrite --sys-prefix ipyanchorviz
$ jupyter nbextension enable --py --sys-prefix ipyanchorviz

When actively developing your extension for JupyterLab, run the command:

$ jupyter labextension develop --overwrite ipyanchorviz

You then need to refresh the JupyterLab page when your javascript changes.