This class represents the dataflow that is necessary to either build
a classification model for a certain functional site, or evaluate a
sequence for said functional site.
Use the trained classifier to classify a single instance of data in a very fast way,
without having to resort to string parsing procedures (recommanded method for
doing these classifications).
Use the trained classifier to classify a single instance of data in a very fast way,
without having to resort to string parsing procedures (recommanded method for
doing these classifications).
This class contains the normal results of a crossvalidation (number
of false positives/false negatives/true positives/true negatives and
the distances and labels of the results).