Package it.uniroma2.sag.kelp.learningalgorithm

Interface Summary

Interface	Description
BinaryLearningAlgorithm	It is a learning algorithm that has to learn a concept associated to a single label.
EnsembleLearningAlgorithm	It is an ensemble method that operates combining various learning algorithms
KernelMethod	It is a kernel-based algorithm
LearningAlgorithm	It is a generic Machine Learning algorithm
LinearMethod	It is a linear algorithm operating directly on an explicit vector space
MetaLearningAlgorithm	It is a meta algorithm that operates modifying exploiting another learning algorithm
OnlineLearningAlgorithm	It is a Machine Learning algorithm which allows an incremental learning strategy, exploiting a single Example at a time

Class Summary

Class	Description
LearningAlgorithmTypeResolver	It is a class implementing TypeIdResolver which will be used by Jackson library during the serialization in JSON and deserialization of LearningAlgorithms
MultiEpochLearning	It is a meta learning algorithms for online learning methods.
PassiveAggressive	It is an online learning algorithms that implements the Passive Aggressive algorithms described in [Crammer, JMLR2006] K.

Enum Summary

Enum	Description
PassiveAggressive.Policy	It is the updating policy applied by the Passive Aggressive Algorithm when a miss-prediction occurs