Skip to main content

Convert scikit-learn models to ONNX

Project description

Introduction

sklearn-onnx converts scikit-learn models to ONNX. Once in the ONNX format, you can use tools like ONNX Runtime for high performance scoring.

Documentation

Full documentation including tutorials is available at http://onnx.ai/sklearn-onnx/.

You may also find answers in existing issues or submit a new one.

Installation

You can install from PyPi:

pip install skl2onnx

Or you can install from the source with the latest changes.

pip install git+https://github.com/onnx/sklearn-onnx.git

If you install sklearn-onnx from its source code, you must set the environment variable ONNX_ML=1 before installing the onnx package.

Contribute

We welcome contributions in the form of feedback, ideas, or code.

License

MIT License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

skl2onnx-1.6.0-py2.py3-none-any.whl (161.7 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page