https://github.com/sdpython/pymlbenchmark/blob/master/_doc/sphinxdoc/source/_static/project_ico.png?raw=true

Benchmarks around Machine Learning with PythonΒΆ

This project started with my first attempt to bring a modification to scikit-learn. My first pull request was about optimizing the computation of polynomial features. I reused the template to measure various implementations or models.

The project is used to avoid too much replications of code in projects Benchmarks about Machine Learning. It produces the following figures.

Links: github, documentation, pymlbenchmark: benchmark around machine learning, blog

Build status Build Status Windows https://circleci.com/gh/sdpython/pymlbenchmark/tree/master.svg?style=svg https://badge.fury.io/py/pymlbenchmark.svg MIT License https://codecov.io/github/sdpython/pymlbenchmark/coverage.svg?branch=master GitHub Issues Notebook Coverage

Modules

Functions

Classes

Methods

Static Methods

Properties

Module Index

Snippets of codes

Search Page

License

Changes

pymlbenchmark: benchmark around machine learning

Index

FAQ

Notebook Gallery

Statistics on code

Unit Test Coverage