The exprso package includes these build modules:
- buildNB
- buildLDA
- buildSVM
- buildANN
- buildRF
- buildDNN
These build methods construct a single classifier given an ExprsArray
object and a set of parameters. This function returns an ExprsModel object.
In the case of binary classification, these methods use an ExprsBinary
object and return an ExprsMachine object. In the case of multi-class
classification, these methods use an ExprsMulti object and return an
ExprsModule object. In the case of multi-class classification, these methods
harness the doMulti function to perform "1 vs. all" classifier
construction. In the setting of four class labels, a single build call
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 pl methods.
Like fs methods, build methods have a top argument
which allows the user to specify which features to feed INTO the classifier
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, @preFilter and @reductionModel will
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 classifier.
Set top = 0 to pass all features through a build method.