jbryer/mldash: Evaluating Machine Learning Models Across Many Datasets

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.

install.packages("remotes")
remotes::install_github("jbryer/mldash")