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MLVizLib is a powerful package for generating quick, insightful, and stylish visualizations for machine learning.

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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.

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
eg_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]
eg_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(eg_y_true, eg_y_pred)
plt.show()

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