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Packages that use AbstractVectorClassifier | |
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org.apache.mahout.classifier.naivebayes | |
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 AbstractVectorClassifier in org.apache.mahout.classifier.naivebayes |
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Subclasses of AbstractVectorClassifier in org.apache.mahout.classifier.naivebayes | |
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class |
AbstractNaiveBayesClassifier
Class implementing the Naive Bayes Classifier Algorithm. |
class |
ComplementaryNaiveBayesClassifier
Class implementing the Naive Bayes Classifier Algorithm |
class |
StandardNaiveBayesClassifier
Class implementing the Naive Bayes Classifier Algorithm |
Uses of AbstractVectorClassifier in org.apache.mahout.classifier.sgd |
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Subclasses of AbstractVectorClassifier in org.apache.mahout.classifier.sgd | |
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class |
AbstractOnlineLogisticRegression
Generic definition of a 1 of n logistic regression classifier that returns probabilities in response to a feature vector. |
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. |
Methods in org.apache.mahout.classifier.sgd with parameters of type AbstractVectorClassifier | |
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Vector |
RankingGradient.apply(String groupKey,
int actual,
Vector instance,
AbstractVectorClassifier classifier)
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Vector |
MixedGradient.apply(String groupKey,
int actual,
Vector instance,
AbstractVectorClassifier classifier)
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Vector |
Gradient.apply(String groupKey,
int actual,
Vector instance,
AbstractVectorClassifier classifier)
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Vector |
DefaultGradient.apply(String groupKey,
int actual,
Vector instance,
AbstractVectorClassifier classifier)
Provides a default gradient computation useful for logistic regression. |
void |
ModelDissector.update(Vector features,
Map<String,Set<Integer>> traceDictionary,
AbstractVectorClassifier learner)
Probes a model to determine the effect of a particular variable. |
Uses of AbstractVectorClassifier in org.apache.mahout.clustering.classify |
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Subclasses of AbstractVectorClassifier in org.apache.mahout.clustering.classify | |
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class |
ClusterClassifier
This classifier works with any ClusteringPolicy and its associated Clusters. |
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