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Project description
Unifying and Aligning Multifacted AI Explanations
Code Structure
/src
: Contains the TypeScript code used to generate the visualizations./pyWidget
contains the python code that create ML models, generate explanations, and call the visualization code.
Depedencies
-
run
npm install
to install the dependencies for typescript -
conda env create -f environment.yaml
to install the dependencies for python
How to Run
Dev Mode
- Execute
npm run widgetDev
. The compiled TypeScript code will be stored in the/bundle
directory. The hot module replacement will re-bundle the outputs when there is a change insrc
. - Activate the conda environment using
conda activate mixai
. - Launch the notebook
pyWidget/explanation.ipynb
. The Python code within will invoke the bundled TypeScript code to produce visualizations.
Product Mode
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