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 https://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 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

Apache License v2.0

Project details


Download files

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

Source Distribution

skl2onnx-1.9.2.tar.gz (757.4 kB view details)

Uploaded Source

Built Distribution

skl2onnx-1.9.2-py2.py3-none-any.whl (240.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file skl2onnx-1.9.2.tar.gz.

File metadata

  • Download URL: skl2onnx-1.9.2.tar.gz
  • Upload date:
  • Size: 757.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for skl2onnx-1.9.2.tar.gz
Algorithm Hash digest
SHA256 c67521bf1baf6fbed5c4b6388f88a0304edccce4647fc8c86c0d85770b03d336
MD5 f0861bef44ef517d50cbae03c56aa989
BLAKE2b-256 520e044a09699fa651d0d653eaeb05250c99bf020eb595e442d14fd1b2ef013f

See more details on using hashes here.

File details

Details for the file skl2onnx-1.9.2-py2.py3-none-any.whl.

File metadata

  • Download URL: skl2onnx-1.9.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 240.9 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for skl2onnx-1.9.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 fea1d2e13541f4703bb3f414c8f91be7102a2dc1d6cfd687f3e9f0ff5c093c2c
MD5 d23cee2f77e32019100a4afb8d82b5ac
BLAKE2b-256 fb3d6c8f1f1499f38b172810e44f62eddf1c3effc90be7899cfaa8a7657bf980

See more details on using hashes here.

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