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
object is then passed to the
Modeler function along with
the full training data set.
Kevin R. Coombes [email protected]
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