Individual Consistency eXplorer is a Python package that launches an interactive Streamlit dashboard for exploring the individual fairness for individual classifications.
Project description
Individual Consistency Explorer is a Python package that launches an interactive Streamlit dashboard for exploring the individual fairness for individual classifications.
This package implements the functionality described in a submission to ECAI Demo Track 2025.
📦 Installation
pip install ice_py_dash
Basic Usage
from ice_py_dash import dashboard
Run with default settings (uses built-in 'adult.csv' dataset)
dashboard.run()
Or provide custom parameters
dashboard.run( filepath="path/to/your/data.csv", # Path to your CSV file y="target_column_name", # Name of the target column (default: "y") positive="positive_label" # Value considered the 'positive' class (default: 1) )
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