This web app was created to demonstrate the functionality of mlwhatif: https://github.com/stefan-grafberger/mlwhatif
mlwhatif is a tool for Data-Centric What-If Analysis for Native Machine Learning Pipelines. It uses the mlinspect project as a foundation, mainly for its plan extraction from native ML pipelines.
This demo app is built using Streamlit.
Python 3.9
# Create a virtual environment
python3.9 -m venv venv
source venv/bin/activate
pip install -U pip
# Install dependencies
SETUPTOOLS_USE_DISTUTILS=stdlib pip install -r requirements.txt
# Run the web app
streamlit run app.py --theme.base lightVisit http://localhost:8501 in your browser.
This library is licensed under the Apache 2.0 License.