The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.

autoBagging

Automatic Hyperparameter Optimization of Bagging Workflows

Authored by: Fábio Pinto and Vítor Cerqueira

autoBagging is an R package for automatically optimizing bagging workflows to solve classification predictive tasks.

Installing

Currently, autoBagging is only available in Github. Soon it will be submitted to CRAN.

Install the package using devtools:

• devtools::install_github("hadley/devtools")

followed by:

• devtools::install_github("fhpinto/autoBagging")

In some OS, the installation might need manual installation of recursive dependencies (e.g. data.table).

Guidelines

The core function is autoBagging. Its input is simply the formula for the predictive classification task and the dataset:

• auto_model <- autoBagging(formula, train.data)

For predicting new instances, the model uses the standard predict method:

• preds <- predict(auto_model, test.data)

Contact us at: {fhpinto, vmac}@inesctec.pt

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.