exprso package includes these build modules:
In the case of multi-class classification, each
build module can
doMulti function to perform "1 vs. all" classifier
construction. In the setting of four class labels, a single
will return four classifiers that work in concert to make a single prediction
of an unlabelled subject. For building multiple classifiers across a vast
parameter space in a high-throughput manner, see
build methods have a
which allows the user to specify which features to feed INTO the model
build. This effectively provides the user with one last opportunity to subset
the feature space based on prior feature selection or dimension reduction.
For all build methods,
get passed along to the resultant
ExprsModel object, again ensuring
that any test or validation sets will undergo the same feature selection and
dimension reduction in the appropriate steps when deploying the model.
top = 0 to pass all features through a
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