Skip to main content

Convert scikit-learn models to PFA

Project description

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

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.

sklearn_to_pfa-0.2.1-py3-none-any.whl (13.5 kB view details)

Uploaded Python 3

File details

Details for the file sklearn_to_pfa-0.2.1-py3-none-any.whl.

File metadata

File hashes

Hashes for sklearn_to_pfa-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 566e6086f8a7dd97a4c95123ab30ac94814e5fc8ec6dba6aa29ddd184cb376b9
MD5 fa4bce464f857eb5f03b3ec2ae1f2602
BLAKE2b-256 f80b725ac2cc0d2d8fc26700f1a29a47a230d71c2cb5c7d00a85b389e1cae840

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