Skip to main content

Python library for converting scikit-learn models to PFA.

How to update it

  1. Update the library code, update the version number in the setup.cfg file and optionally the .md version of the README

  2. Run the build.sh script in order to generate the .rst version of the README and build the library

  3. Commit and push your changes and run the publish.sh script in order to publish the new release on PyPI

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.

sklearn_to_pfa-0.3.7-py3-none-any.whl (14.0 kB view details)

Uploaded Python 3

File details

Details for the file sklearn_to_pfa-0.3.7-py3-none-any.whl.

File metadata

File hashes

Hashes for sklearn_to_pfa-0.3.7-py3-none-any.whl
Algorithm Hash digest
SHA256 5e864352fb7180f7cc65df82ef9b9af46fa5d85aba5d69d336ab36f8f06a1f0c
MD5 ac7fe44ee9b0851f57152fb500405461
BLAKE2b-256 59aca95428672adc3949058337beccee880d70c50eead2c476a74cbc0ed9526f

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 Sentry Error logging StatusPage Status page