All Packages
Package Summary
Package
Description
Provides classes and infrastructure for multiclass classification problems.
Provides simple baseline multiclass classifiers.
Provides majority vote ensemble combiners for classification
along with an implementation of multiclass Adaboost.
Evaluation classes for multi-class classification.
Provides a multiclass data generator used for testing implementations, along with several synthetic data generators
for 2d binary classification problems to be used in demos or tutorials.
Provides infrastructure for
SequenceModels which
emit Labels at each step of the sequence.Provides a classification sequence data generator for smoke testing implementations.
Provides an implementation of Viterbi for generating structured outputs, which can sit on top of any
Label based classification model.