The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Added the balance argument to
pipeline(). When set to TRUE, the pipeline
automatically calculates inverse class frequency weights to handle
imbalanced datasets natively. These observation weights are passed
directly into the loss functions of the underlying models (glmnet,
ranger, and xgboost) without duplicating text data or artificially
bloating the sparse matrix. ## Updates
evaluate_performance() minor updates. Bug
fixed
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.