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-1.9.3.tar.gz (840.3 kB view details)

Uploaded Source

Built Distribution

skl2onnx-1.9.3-py2.py3-none-any.whl (263.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file skl2onnx-1.9.3.tar.gz.

File metadata

  • Download URL: skl2onnx-1.9.3.tar.gz
  • Upload date:
  • Size: 840.3 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-1.9.3.tar.gz
Algorithm Hash digest
SHA256 25de7a28315094bccc543f52492706d6721fe4d0ca59bfb307a3cce9e585870f
MD5 5cec25d54eeeb41336f8f645a1dabc13
BLAKE2b-256 2cd47f7c144db56b8e8765ad67ccce0b622459a2812034258c5936b8fc3e085e

See more details on using hashes here.

File details

Details for the file skl2onnx-1.9.3-py2.py3-none-any.whl.

File metadata

  • Download URL: skl2onnx-1.9.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 263.0 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-1.9.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ca38185253b87cd3466fd0113eb5256133c20b44ef7ffb8d1764482db3e9f983
MD5 ea3dcedc04ad73589d5c6198ef64dc7c
BLAKE2b-256 1719e792c1f67d34049a6b855f73604faeaedf272be6953701c36ec6bd37e7de

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