| Interface | Description |
|---|---|
| Boostable |
This interface is a tag indicating that the classifier attends to the
InstanceList.getInstanceWeight() weights when training.
|
| ClassifierEvaluating |
| Class | Description |
|---|---|
| AbstractClassifierEvaluating |
Created: Apr 13, 2005
|
| AccuracyEvaluator | |
| AdaBoost |
AdaBoost
Robert E.
|
| AdaBoostM2 |
AdaBoostM2
|
| AdaBoostM2Trainer |
This version of AdaBoost can handle multi-class problems.
|
| AdaBoostTrainer |
This version of AdaBoost should be used only for binary classification.
|
| BaggingClassifier | |
| BaggingTrainer |
Bagging Trainer.
|
| BalancedWinnow |
Classification methods of BalancedWinnow algorithm.
|
| BalancedWinnowTrainer |
An implementation of the training methods of a BalancedWinnow
on-line classifier.
|
| C45 |
A C4.5 Decision Tree classifier.
|
| C45.Node | |
| C45Trainer |
A C4.5 decision tree learner, approximtely.
|
| Classification |
The result of classifying a single instance.
|
| Classifier |
Abstract parent of all Classifiers.
|
| ClassifierTrainer |
Abstract parent of all classifier trainers.
|
| ConfidencePredictingClassifier | |
| ConfidencePredictingClassifierTrainer | |
| DecisionTree |
Decision Tree classifier.
|
| DecisionTree.Node | |
| DecisionTreeTrainer |
A decision tree learner, roughly ID3.
|
| FeatureSelectingClassifierTrainer |
Adaptor for adding feature selection to a classifier trainer.
|
| IncrementalClassifierTrainer |
Adds the notion of incremental training to a ClassifierTrainer, through the
availability of incrementalTrain() methods, which
parallel the train() methods.
|
| MaxEnt |
Maximum Entropy classifier.
|
| MaxEntTrainer |
The trainer for a Maximum Entropy classifier.
|
| MCMaxEnt |
Maximum Entropy classifier.
|
| MCMaxEntTrainer |
The trainer for a Maximum Entropy classifier.
|
| NaiveBayes |
A classifier that classifies instances according to the NaiveBayes method.
|
| NaiveBayesTrainer |
Class used to generate a NaiveBayes classifier from a set of training data.
|
| Trial |
A convenience class for running an instance list through
a classifier and storing the instancelist, the classifier,
and the resulting classifications of each instance.
|
| TUI |
Text User Interface for classification (unsupported).
|
| Winnow |
Classification methods of Winnow2 algorithm.
|
| WinnowTrainer |
An implementation of the training methods of a
Winnow2 on-line classifier.
|
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