The Modeler package provides generic tools for learning models
and making predictions in the context of high-throughput data sets
such as those produced by gene expression microarrays. In order to use
this package , you must first prepare a pair of functions (one for
learning models from training data, and one for making predictions on
test data). These functions, along with any required meta-parameters,
are used to create an object of the Modeler-class. That
object is then passed to the Modeler function along with
the full training data set.
| Package: | Modeler |
| Type: | Package |
| Version: | 2.0.0 |
| Date: | 2013-07-05 |
| License: | Artistic-2.0 |
| LazyLoad: | yes |