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MLVizLib (Machine Learning Visualization Library) is a powerful library for generating quick, insightful, and stylish visualizations for machine learning (ML). Our goal is to enhance the ML workflow by providing insightful visualizations with minimum effort.

• Documentation: (COMING SOON) https://mlvizlib.readthedocs.io.

NOTE

This project is in early stage development, and can thus go trough major changes.

Install

MLVizLib can be installed from PyPI:

pip install mlvizlib

Features

• Confusion Matrix Visualization

note

More coming soon.

Confusion Matrix Visualization example

import matplotlib.pyplot as plt
from mlvizlib.classification import confusion_matrix

# example data
y_true = [2,0,1,0,2,0,1,2,0,0,2,0,1,1,0,1,1,0,0,0,0,2,2]
y_pred = [2,0,0,0,2,0,1,2,1,0,2,2,1,1,0,2,1,0,1,0,0,1,2]

confusion_matrix(y_true, y_pred)
plt.show()