mldash-package: mldash: Evaluating Machine Learning Models Across Many...

In jbryer/mldash: Evaluating Machine Learning Models Across Many Datasets

mldash: Evaluating Machine Learning Models Across Many Datasets

Description

Framework for evaluating predictive models across many datasets. Datasets and models are defined in debian control files. Data can be retrieved from many sources and the package will execute and evaluate predictive models using a hold-out validation dataset using common metrics defined in the yardstick package.

Author(s)

Maintainer: Jason Bryer [e-mail] (ORCID)

Other contributors:

• Angela Lui [e-mail] [contributor]

• Justin Williams [contributor]

• David Simbandumwe [contributor]

• Clifton Lee [contributor]

• Shane Hylton [contributor]

• Joseph Connolly [contributor]

See Also

Useful links:

• https://jbryer.github.io/mldash/

• Report bugs at https://github.com/jbryer/mldash/issues

jbryer/mldash documentation built on March 4, 2023, 9:35 p.m.