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Packages that use Label | |
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cc.mallet.extract | Unimplemented. |
cc.mallet.grmm.util | |
cc.mallet.types | Fundamental MALLET types, including FeatureVector, Instance, Label etc. |
Uses of Label in cc.mallet.extract |
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Methods in cc.mallet.extract that return Label | |
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Label |
DocumentExtraction.getBackgroundTag()
|
Label |
LabeledSpan.getLabel()
|
Label |
LabeledSpans.getLabel(int i)
|
Label |
Field.getName()
|
Methods in cc.mallet.extract with parameters of type Label | |
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LabeledSpans |
TokenizationFilter.constructLabeledSpans(LabelAlphabet dict,
java.lang.Object document,
Label backgroundTag,
Tokenization input,
Sequence seq)
Converts a the sequence of labels into a set of labeled spans. |
LabeledSpans |
HierarchicalTokenizationFilter.constructLabeledSpans(LabelAlphabet dict,
java.lang.Object document,
Label backgroundTag,
Tokenization input,
Sequence seq)
|
LabeledSpans |
DefaultTokenizationFilter.constructLabeledSpans(LabelAlphabet dict,
java.lang.Object document,
Label backgroundTag,
Tokenization input,
Sequence seq)
|
LabeledSpans |
ConfidenceTokenizationFilter.constructLabeledSpans(LabelAlphabet dict,
java.lang.Object document,
Label backgroundTag,
Tokenization input,
Sequence seq)
|
LabeledSpans |
BIOTokenizationFilter.constructLabeledSpans(LabelAlphabet dict,
java.lang.Object document,
Label backgroundTag,
Tokenization input,
Sequence seq)
|
Field |
Record.getField(Label name)
|
Constructors in cc.mallet.extract with parameters of type Label | |
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LabeledSpan(Span span,
Label label,
boolean isBackground)
|
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LabeledSpan(Span span,
Label label,
boolean isBackground,
double confidence)
|
Uses of Label in cc.mallet.grmm.util |
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Methods in cc.mallet.grmm.util that return Label | |
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Label |
LabelsAssignment.labelOfVar(Variable var)
|
Uses of Label in cc.mallet.types |
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Methods in cc.mallet.types that return Label | |
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Label |
Labels.get(int i)
|
Label |
LabelVector.getBestLabel()
|
Label |
Labeling.getBestLabel()
|
Label |
Label.getBestLabel()
|
Label |
LabelSequence.getLabelAtPosition(int pos)
|
Label |
LabelVector.getLabelAtRank(int rank)
|
Label |
Labeling.getLabelAtRank(int rank)
|
Label |
Label.getLabelAtRank(int rank)
|
Label |
LabelVector.labelAtLocation(int loc)
|
Label |
Labeling.labelAtLocation(int pos)
|
Label |
Label.labelAtLocation(int loc)
|
Label |
LabelAlphabet.lookupLabel(int labelIndex)
|
Label |
LabelAlphabet.lookupLabel(java.lang.Object entry)
|
Label |
LabelAlphabet.lookupLabel(java.lang.Object entry,
boolean addIfNotPresent)
|
Methods in cc.mallet.types with parameters of type Label | |
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int[][] |
ROCData.getCounts(Label label)
Gets the raw counts for a specified label. |
int[] |
ROCData.getCounts(Label label,
double threshold)
Gets the raw counts for a specified label and threshold. |
double |
ROCData.getPositivePercent(Label label,
double threshold)
Gets the estimated percentage of training events that exceed the threshold. |
double |
ROCData.getPrecision(Label label,
double threshold)
Gets the precision for a specified label and threshold. |
double |
ROCData.getPrecisionForScore(Label label,
double score)
Gets the precision for a specified label and score. |
int |
LabelVector.getRank(Label label)
|
int |
Labeling.getRank(Label label)
|
int |
Label.getRank(Label label)
|
double |
ROCData.getRecall(Label label,
double threshold)
Gets the recall rate for a specified label and threshold. |
void |
Labels.set(int i,
Label l)
|
void |
ROCData.setCounts(Label label,
double threshold,
int[] newCounts)
Sets the raw counts for a specified label and threshold. |
double |
LabelVector.value(Label label)
|
double |
Labeling.value(Label label)
|
double |
Label.value(Label label)
|
Constructors in cc.mallet.types with parameters of type Label | |
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Labels(Label[] labels)
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LabelSequence(Label[] labels)
|
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LabelVector(Label[] labels,
double[] values)
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