Skip to main content

Convert scikit-learn models to ONNX

Project description

<p align="center"><img width="80%" src="docs/logo_main.png" /></p>

| Linux | Windows |
|-------|---------|
| [![Build Status](https://dev.azure.com/onnxmltools/sklearn-onnx/_apis/build/status/sklearn-onnx-linux-conda-ci?branchName=master)](https://dev.azure.com/onnxmltools/sklearn-onnx/_build/latest?definitionId=5?branchName=master) | [![Build Status](https://dev.azure.com/onnxmltools/sklearn-onnx/_apis/build/status/sklearn-onnx-win32-conda-ci?branchName=master)](https://dev.azure.com/onnxmltools/sklearn-onnx/_build/latest?definitionId=5?branchName=master)|

# Introduction
*sklearn-onnx* is designed to convert the [scikit-learn](https://scikit-learn.org/stable/)
models to [ONNX](https://github.com/onnx/onnx).

# Documentation
See [sklearn-onnx](http://onnx.ai/sklearn-onnx/).

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

# Report an issue, ask a question
You may find an answer in the
[existing issue](https://github.com/onnx/sklearn-onnx/issues?utf8=%E2%9C%93&q=is%3Aissue)
or submit a new one.

# License
[MIT License](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

If you're not sure about the file name format, learn more about wheel file names.

skl2onnx-1.4.0-py2.py3-none-any.whl (82.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file skl2onnx-1.4.0-py2.py3-none-any.whl.

File metadata

  • Download URL: skl2onnx-1.4.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 82.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.7

File hashes

Hashes for skl2onnx-1.4.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2fc506ed7162324e16260dc4b5cc8ea8c253129211714c1ae4467dafee840de3
MD5 55a010a0526cca2286f0579e82d848b5
BLAKE2b-256 c157e443037fdca495e4607be435f301335d6c29dbb1360cf08b03cc3861d84e

See more details on using hashes here.

Supported by

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