edu.stanford.nlp.classify
Class SVMLightClassifier<L,F>
java.lang.Object
edu.stanford.nlp.classify.LinearClassifier<L,F>
edu.stanford.nlp.classify.SVMLightClassifier<L,F>
- All Implemented Interfaces:
- Classifier<L,F>, ProbabilisticClassifier<L,F>, RVFClassifier<L,F>, Serializable
public class SVMLightClassifier<L,F>
- extends LinearClassifier<L,F>
This class represents a trained SVM Classifier. It is actually just a
LinearClassifier, but it can have a Platt (sigmoid) model overlaying
it for the purpose of producing meaningful probabilities.
- Author:
- Jenny Finkel, Sarah Spikes (sdspikes@cs.stanford.edu) (templatization)
- See Also:
- Serialized Form
Method Summary |
Counter<L> |
logProbabilityOf(Datum<L,F> example)
Returns a counter for the log probability of each of the classes
looking at the the sum of e^v for each count v, should be 1
Note: Uses SloppyMath.logSum which isn't exact but isn't as
offensively slow as doing a series of exponentials |
Counter<L> |
logProbabilityOf(RVFDatum<L,F> example)
Returns a counter for the log probability of each of the classes
looking at the the sum of e^v for each count v, should be 1
Note: Uses SloppyMath.logSum which isn't exact but isn't as
offensively slow as doing a series of exponentials |
void |
setPlatt(LinearClassifier<L,L> platt)
|
Methods inherited from class edu.stanford.nlp.classify.LinearClassifier |
adaptWeights, classOf, classOf, dump, dump, dumpSorted, experimentalClassOf, featureIndex, features, getFeatureCount, getFeatureCount, getFeatureCountLabelIndices, getLabelIndices, getTopFeatures, getTopFeatures, getTopFeaturesLabelIndices, justificationOf, justificationOf, justificationOf, justificationOf, justificationOf, justificationOf, justificationOf, labelIndex, labels, logProbabilityOf, probabilityOf, probabilityOf, probabilityOf, readClassifier, saveToFilename, scoreOf, scoreOf, scoresOf, scoresOf, scoresOf, scoresOf, setWeights, toAllWeightsString, toBiggestWeightFeaturesString, toDistributionString, toHistogramString, topFeaturesToString, toString, toString, totalSize, weight, weights, weightsAsMapOfCounters, writeClassifier |
platt
public LinearClassifier<L,L> platt
SVMLightClassifier
public SVMLightClassifier(ClassicCounter<Pair<F,L>> weightCounter,
ClassicCounter<L> thresholds)
SVMLightClassifier
public SVMLightClassifier(ClassicCounter<Pair<F,L>> weightCounter,
ClassicCounter<L> thresholds,
LinearClassifier<L,L> platt)
setPlatt
public void setPlatt(LinearClassifier<L,L> platt)
logProbabilityOf
public Counter<L> logProbabilityOf(Datum<L,F> example)
- Returns a counter for the log probability of each of the classes
looking at the the sum of e^v for each count v, should be 1
Note: Uses SloppyMath.logSum which isn't exact but isn't as
offensively slow as doing a series of exponentials
- Specified by:
logProbabilityOf
in interface ProbabilisticClassifier<L,F>
- Overrides:
logProbabilityOf
in class LinearClassifier<L,F>
logProbabilityOf
public Counter<L> logProbabilityOf(RVFDatum<L,F> example)
- Returns a counter for the log probability of each of the classes
looking at the the sum of e^v for each count v, should be 1
Note: Uses SloppyMath.logSum which isn't exact but isn't as
offensively slow as doing a series of exponentials
- Overrides:
logProbabilityOf
in class LinearClassifier<L,F>
Stanford NLP Group