## Uses of Package
org.apache.mahout.classifier.sgd

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

Classes in org.apache.mahout.classifier.sgd used by org.apache.mahout.classifier.sgd
AbstractOnlineLogisticRegression Generic definition of a 1 of n logistic regression classifier that returns probabilities in response to a feature vector.
AdaptiveLogisticRegression This is a meta-learner that maintains a pool of ordinary `OnlineLogisticRegression` learners.
AdaptiveLogisticRegression.TrainingExample
AdaptiveLogisticRegression.Wrapper Provides a shim between the EP optimization stuff and the CrossFoldLearner.
CrossFoldLearner Does cross-fold validation of log-likelihood and AUC on several online logistic regression models.
CsvRecordFactory Converts CSV data lines to vectors.
Gradient Provides the ability to inject a gradient into the SGD logistic regresion.
GradientMachine Online gradient machine learner that tries to minimize the label ranking hinge loss.
ModelDissector.Weight
OnlineLogisticRegression Extends the basic on-line logistic regression learner with a specific set of learning rate annealing schedules.
PassiveAggressive Online passive aggressive learner that tries to minimize the label ranking hinge loss.
PriorFunction A prior is used to regularize the learning algorithm.
RecordFactory A record factor understands how to convert a line of data into fields and then into a vector.

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