Name | multixai JSON |
Version |
1.0.0
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Summary | |
upload_time | 2024-01-21 05:59:27 |
maintainer | |
docs_url | None |
author | |
requires_python | |
license | |
keywords |
explainable
xai
|
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# 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
1. 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 in `src`.
2. Activate the conda environment using `conda activate mixai`.
3. Launch the notebook `pyWidget/explanation.ipynb`. The Python code within will invoke the bundled TypeScript code to produce visualizations.
### Product Mode
[place holder]
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"description": "# Unifying and Aligning Multifacted AI Explanations\n\n\n## Code Structure\n\n- `/src`: Contains the TypeScript code used to generate the visualizations.\n- `/pyWidget` contains the python code that create ML models, generate explanations, and call the visualization code.\n\n\n## Depedencies\n\n- run `npm install` to install the dependencies for typescript\n\n- `conda env create -f environment.yaml` to install the dependencies for python\n\n## How to Run\n\n### Dev Mode\n\n1. 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 in `src`.\n2. Activate the conda environment using `conda activate mixai`.\n3. Launch the notebook `pyWidget/explanation.ipynb`. The Python code within will invoke the bundled TypeScript code to produce visualizations.\n\n\n### Product Mode\n[place holder]\n",
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