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Packages that use Probability | |
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de.fu_berlin.ties.classify | This package provides functionality for classification of texts and feature vectors. |
de.fu_berlin.ties.extract | This package handles information extraction and entitiy recognition. |
Uses of Probability in de.fu_berlin.ties.classify |
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Methods in de.fu_berlin.ties.classify that return Probability | |
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Probability |
Prediction.getProbability()
Calculates and returns the average probability. |
protected Probability |
Prediction.removeProb(boolean atEnd)
Deletes one of the probabilities used for the prediction. |
Methods in de.fu_berlin.ties.classify with parameters of type Probability | |
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protected void |
Prediction.addProb(Probability prob,
boolean atEnd)
Adds a new probability for the prediction. |
Constructors in de.fu_berlin.ties.classify with parameters of type Probability | |
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Prediction(String predicted,
Probability prob)
Creates a new instance, setting the evaluation status to EvalStatus.UNKNOWN . |
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Prediction(String predicted,
Probability prob,
EvalStatus status)
Creates a new instance. |
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Prediction(String predicted,
String sourceID,
Probability prob,
EvalStatus status)
Creates a new instance. |
Uses of Probability in de.fu_berlin.ties.extract |
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Methods in de.fu_berlin.ties.extract with parameters of type Probability | |
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void |
Extraction.addToken(TokenDetails details,
Probability prob,
boolean atEnd)
Adds a token to this extraction, recalculating the probability by multiplying the prior probability value with the probability of the new text. |
Constructors in de.fu_berlin.ties.extract with parameters of type Probability | |
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Extraction(String predicted,
TokenDetails details,
Probability prob)
Creates a new instance, setting the evaluation status to EvalStatus.UNKNOWN . |
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Extraction(String predicted,
TokenDetails details,
Probability prob,
EvalStatus status)
Creates a new instance. |
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