| Modifier and Type | Method and Description |
|---|---|
Classification |
Winnow.classify(Instance instance)
Classifies an instance using Winnow's weights
|
Classification |
NaiveBayes.classify(Instance instance)
Classify an instance using NaiveBayes according to the trained data.
|
Classification |
MaxEnt.classify(Instance instance) |
Classification |
MCMaxEnt.classify(Instance instance) |
Classification |
DecisionTree.classify(Instance instance) |
Classification |
ConfidencePredictingClassifier.classify(Instance instance) |
abstract Classification |
Classifier.classify(Instance instance) |
Classification |
C45.classify(Instance instance) |
Classification |
BalancedWinnow.classify(Instance instance)
Classifies an instance using BalancedWinnow's weights
|
Classification |
BaggingClassifier.classify(Instance inst) |
Classification |
AdaBoostM2.classify(Instance inst) |
Classification |
AdaBoost.classify(Instance inst) |
Classification[] |
Classifier.classify(Instance[] instances) |
Classification |
AdaBoostM2.classify(Instance inst,
int numWeakClassifiersToUse)
Classify the given instance using only the first
numWeakClassifiersToUse classifiers
trained during boosting
|
Classification |
AdaBoost.classify(Instance inst,
int numWeakClassifiersToUse)
Classify the given instance using only the first
numWeakClassifiersToUse classifiers
trained during boosting
|
Classification |
Classifier.classify(Object obj) |
Classification |
Trial.getClassification(int i) |
| Modifier and Type | Method and Description |
|---|---|
Classification |
AddClassifierTokenPredictions.TokenClassifiers.classify(Instance instance) |
Classification |
AddClassifierTokenPredictions.TokenClassifiers.classify(Instance instance,
boolean useOutOfFold) |
| Constructor and Description |
|---|
ExpGain(InstanceList ilist,
Classification[] classifications,
double gaussianPriorVariance) |
GradientGain(InstanceList ilist,
Classification[] classifications) |
KLGain(InstanceList ilist,
Classification[] classifications) |
| Modifier and Type | Method and Description |
|---|---|
String |
CorefClusterAdv.printParamDetails(FeatureVector vec,
Classification classification,
MaxEnt classifier) |
| Modifier and Type | Method and Description |
|---|---|
static Classification[] |
MaxEntShell.classify(Classifier classifier,
PipeInputIterator data)
Compute the maxent classifications for unlabeled instances given
by an iterator.
|
static Classification |
MaxEntShell.classify(Classifier classifier,
String[] features)
Compute the maxent classification of an instance.
|
static Classification[] |
MaxEntShell.classify(Classifier classifier,
String[][] features)
Compute the maxent classifications of an array of instances
|
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