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## Uses of Class
cc.mallet.types.Label

Packages that use Label
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

Methods in cc.mallet.extract that return Label
`Label` | `DocumentExtraction.getBackgroundTag()`
`Label` | `LabeledSpan.getLabel()`
`Label` | `LabeledSpans.getLabel(int i)`
`Label` | `Field.getName()`

Methods in cc.mallet.extract with parameters of type Label
`LabeledSpans` | `BIOTokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)`
`LabeledSpans` | `HierarchicalTokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)`
`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` | `ConfidenceTokenizationFilter.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)`
`Field` | `Record.getField(Label name)`

Constructors in cc.mallet.extract with parameters of type Label
`LabeledSpan(Span span, Label label, boolean isBackground)`
`LabeledSpan(Span span, Label label, boolean isBackground, double confidence)`

Uses of Label in cc.mallet.grmm.util

Methods in cc.mallet.grmm.util that return Label
`Label` | `LabelsAssignment.labelOfVar(Variable var)`

Uses of Label in cc.mallet.types

Methods in cc.mallet.types that return Label
`Label` | `Labels.get(int i)`
`Label` | `Labeling.getBestLabel()`
`Label` | `LabelVector.getBestLabel()`
`Label` | `Label.getBestLabel()`
`Label` | `LabelSequence.getLabelAtPosition(int pos)`
`Label` | `Labeling.getLabelAtRank(int rank)`
`Label` | `LabelVector.getLabelAtRank(int rank)`
`Label` | `Label.getLabelAtRank(int rank)`
`Label` | `Labeling.labelAtLocation(int pos)`
`Label` | `LabelVector.labelAtLocation(int loc)`
`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
`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` | `Labeling.getRank(Label label)`
`int` | `LabelVector.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` | `Labeling.value(Label label)`
`double` | `LabelVector.value(Label label)`
`double` | `Label.value(Label label)`

Constructors in cc.mallet.types with parameters of type Label
`Labels(Label[] labels)`
`LabelSequence(Label[] labels)`
`LabelVector(Label[] labels, double[] values)`

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