Package mulan.classifier.neural

Interface Summary

ModelUpdateRule

Represents an update rule, which can be used by a learner, to process an input example in learning phase and perform an update of a model when necessary.

Class Summary

BPMLL	The implementation of Back-Propagation Multi-Label Learning (BPMLL) learner.
BPMLLAlgorithm	The implementation of Back-Propagation Multi-Label Learning (BPMLL) algorithm for neural networks.
DataPair	Class for representation of a data-pair instance.
MMPLearner	Implementation of Multiclass Multilabel Perceptrons learner.
MMPMaxUpdateRule	Implementation of max update rule for MMPLearner.
MMPRandomizedUpdateRule	Implementation of randomized update rule for MMPLearner.
MMPUniformUpdateRule	Implementation of uniform update rule for MMPLearner.
MMPUpdateRuleBase	The base class of update rules for MMPLearner.
NormalizationFilter	Performs a normalization of numeric attributes of the data set.
ThresholdFunction	Implementation of a threshold function.

Enum Summary

MMPUpdateRuleType

The enumeration of update rules, which can be used by the MMPLearner to update its model in learning phase.