snehankekre / streamlit-yellowbrick

Streamlit component for the Yellowbrick visualization and model diagnostics library

streamlit-yellowbrick

This component provides a convenience function to display Yellowbrick visualizers in Streamlit.

Installation

pip install streamlit-yellowbrick

Example usage

import streamlit as st
from streamlit_yellowbrick import st_yellowbrick

from yellowbrick.datasets import load_credit
from yellowbrick.features import PCA

# Specify the features of interest and the target
X, y = load_credit()
classes = ['account in default', 'current with bills']

visualizer = PCA(scale=True, classes=classes)
visualizer.fit_transform(X, y)  # Fit the data to the visualizer
st_yellowbrick(visualizer)      # Finalize and render the figure

streamlit-yellowbrick's Issues

Integration with sklearn-evaluation

Cool project! (not sure if it's still maintained)

Any plans on integrating with sklearn-evaluation for better visuals/plots?
It has more capabilities (bug fixes + new features) and is well-maintained.
Happy to assist!