shapiq 0.0.2

SHAPley Interaction Quantification (SHAP-IQ) for Explainable AI

SHAPIQ: SHAPley Interaction Quantification

An interaction may speak more than a thousand main effects.

🛠️ Install

shapiq is intended to work with Python 3.9 and above. Installation can be done via pip:

pip install shapiq

⭐ Quickstart

📈 Compute n-SII values

📊 Visualize your Interactions

One handy way of visualizing interaction scores (up to order 2) are network plots. You can see an example of such a plot below. The nodes represent attribution scores and the edges represent the interactions. The strength and size of the nodes and edges are proportional to the absolute value of the attribution scores and interaction scores, respectively.

from shapiq.plot import network_plot

network_plot(
    first_order_values=n_sii_first_order,  # first order n-SII values
    second_order_values=n_sii_second_order # second order n-SII values
)

The pseudo-code above can produce the following plot (here also an image is added):

📖 Documentation

The documentation for shapiq can be found here.