| Package | Description |
|---|---|
| edu.umass.cs.mallet.base.classify | |
| edu.umass.cs.mallet.base.pipe | |
| edu.umass.cs.mallet.projects.seg_plus_coref.condclust.cluster |
| Modifier and Type | Class and Description |
|---|---|
class |
AdaBoostM2Trainer
This version of AdaBoost can handle multi-class problems.
|
class |
AdaBoostTrainer
This version of AdaBoost should be used only for binary classification.
|
class |
BaggingTrainer
Bagging Trainer.
|
class |
BalancedWinnowTrainer
An implementation of the training methods of a BalancedWinnow
on-line classifier.
|
class |
C45Trainer
A C4.5 decision tree learner, approximtely.
|
class |
ConfidencePredictingClassifierTrainer |
class |
DecisionTreeTrainer
A decision tree learner, roughly ID3.
|
class |
FeatureSelectingClassifierTrainer
Adaptor for adding feature selection to a classifier trainer.
|
class |
IncrementalClassifierTrainer
Adds the notion of incremental training to a ClassifierTrainer, through the
availability of incrementalTrain() methods, which
parallel the train() methods.
|
class |
MaxEntTrainer
The trainer for a Maximum Entropy classifier.
|
class |
MCMaxEntTrainer
The trainer for a Maximum Entropy classifier.
|
class |
NaiveBayesTrainer
Class used to generate a NaiveBayes classifier from a set of training data.
|
class |
WinnowTrainer
An implementation of the training methods of a
Winnow2 on-line classifier.
|
| Constructor and Description |
|---|
AdaBoostM2Trainer(ClassifierTrainer weakLearner) |
AdaBoostM2Trainer(ClassifierTrainer weakLearner,
int numRounds) |
AdaBoostTrainer(ClassifierTrainer weakLearner) |
AdaBoostTrainer(ClassifierTrainer weakLearner,
int numRounds) |
BaggingTrainer(ClassifierTrainer underlyingTrainer) |
BaggingTrainer(ClassifierTrainer underlyingTrainer,
int numBags) |
ConfidencePredictingClassifierTrainer(ClassifierTrainer underlyingClassifierTrainer) |
ConfidencePredictingClassifierTrainer(ClassifierTrainer underlyingClassifierTrainer,
Pipe confidencePredictingPipe) |
FeatureSelectingClassifierTrainer(ClassifierTrainer underlyingTrainer,
FeatureSelector featureSelector) |
| Constructor and Description |
|---|
TokenClassifiers(ClassifierTrainer trainer,
InstanceList trainList,
int randSeed,
int numCV) |
| Constructor and Description |
|---|
ConditionalClustererTrainer(Pipe _p,
ClassifierTrainer _classifierTrainer) |
ConditionalClustererTrainer(Pipe _p,
ClassifierTrainer _classifierTrainer,
double _threshold) |
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