sklearn-evaluation

scikit-learn model evaluation made easy: plots, tables andmarkdown reports.


Keywords
datascience, machinelearning, data-science, deep-learning, jupyter-notebook, machine-learning, pytorch, scikit-learn, sklearn, tensorflow
License
Apache-2.0
Install
pip install sklearn-evaluation==0.12.1

Documentation

sklearn-evaluation

CI Documentation Status PyPI version Coverage Status Twitter Code style: black Downloads

Tip

Deploy AI apps for free on Ploomber Cloud!

Join our community | Newsletter | Contact us | Docs | Blog | Website | YouTube

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis.

Supports Python 3.7 and higher. Tested on Linux, macOS and Windows.

Note: Recent versions likely work on Python 3.6; however, 0.8.2 was the latest version tested with such Python version.

Get Started

confusion matrix

Install

pip install sklearn-evaluation

Features