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