Skip to main content

Adds support for the scikit-learn framework to the package "mlrl-testbed"

Project description

"MLRL-Testbed-Sklearn": Adds support for the scikit-learn framework to the package "mlrl-testbed"

License: MIT PyPI version Documentation Status

:link: Important links: API Reference | Issue Tracker | Changelog | Contributors | Code of Conduct | License

This software package is an extension to the package mlrl-testbed which provides a command line utility for running machine learning experiments. It adds support for experiments that involve training and evaluating a machine learning algorithm using the scikit-learn framework. For further information on the command line utility, refer to its documentation.

:scroll: License

This project is open source software licensed under the terms of the MIT license. We welcome contributions to the project to enhance its functionality and make it more accessible to a broader audience. A frequently updated list of contributors is available here.

All contributions to the project and discussions on the issue tracker are expected to follow the code of conduct.

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.

mlrl_testbed_sklearn-0.12.2-py3-none-any.whl (56.7 kB view details)

Uploaded Python 3

File details

Details for the file mlrl_testbed_sklearn-0.12.2-py3-none-any.whl.

File metadata

File hashes

Hashes for mlrl_testbed_sklearn-0.12.2-py3-none-any.whl
Algorithm Hash digest
SHA256 185c0cbfdd97982de6feabbd86e7683424eb9e6a81e4dc9e845ca8d359e5afb7
MD5 425dfcc43f702406c44242de0a1f8623
BLAKE2b-256 e08c1f67d258360eed1b1d164903e9c74f79fbd1bea710e0b7a911d64aa97d41

See more details on using hashes here.

Provenance

The following attestation bundles were made for mlrl_testbed_sklearn-0.12.2-py3-none-any.whl:

Publisher: publish.yml on mrapp-ke/MLRL-Boomer

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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