A ClassificationModel trait defines the needed operations on any classification Model.
A DenseInstance is an Instance in which the features are dense, i.
An Example is a wrapper on top of the Instance class hierarchy.
An Instance represents the input or output of any learning algorithm.
A Learner trait defines the needed operations for any learner algorithm implemented.
A Model trait defines the needed operations on any learning Model.
A NullInstance is an Instance which does not contain anything in it.
A SparseInstance is an Instance in which the features are sparse, i.
A TextInstance is an Instance in which the features are a map of text keys, each associated with a value.