## Uses of Interface
org.apache.mahout.classifier.OnlineLearner

Packages that use OnlineLearner
org.apache.mahout.classifier.mlp
org.apache.mahout.classifier.sgd: Implements a variety of on-line logistric regression classifiers using SGD-based algorithms.
org.apache.mahout.clustering.classify

Uses of OnlineLearner in org.apache.mahout.classifier.mlp

Classes in org.apache.mahout.classifier.mlp that implement OnlineLearner
`class` `MultilayerPerceptron` A Multilayer Perceptron (MLP) is a kind of feed-forward artificial neural network, which is a mathematical model inspired by the biological neural network.

Uses of OnlineLearner in org.apache.mahout.classifier.sgd

Classes in org.apache.mahout.classifier.sgd that implement OnlineLearner
`class` `AbstractOnlineLogisticRegression` Generic definition of a 1 of n logistic regression classifier that returns probabilities in response to a feature vector.
`class` `AdaptiveLogisticRegression` This is a meta-learner that maintains a pool of ordinary `OnlineLogisticRegression` learners.
`class` `CrossFoldLearner` Does cross-fold validation of log-likelihood and AUC on several online logistic regression models.
`class` `GradientMachine` Online gradient machine learner that tries to minimize the label ranking hinge loss.
`class` `OnlineLogisticRegression` Extends the basic on-line logistic regression learner with a specific set of learning rate annealing schedules.
`class` `PassiveAggressive` Online passive aggressive learner that tries to minimize the label ranking hinge loss.

Uses of OnlineLearner in org.apache.mahout.clustering.classify

Classes in org.apache.mahout.clustering.classify that implement OnlineLearner
`class` `ClusterClassifier` This classifier works with any ClusteringPolicy and its associated Clusters.

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