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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