Package | Description |
---|---|
org.tribuo.classification |
Provides classes and infrastructure for multiclass classification problems.
|
org.tribuo.classification.evaluation |
Evaluation classes for multi-class classification.
|
org.tribuo.classification.sequence |
Provides infrastructure for
SequenceModel s which
emit Label s at each step of the sequence. |
org.tribuo.multilabel.evaluation |
Evaluation classes for multi-label classification using
MultiLabel . |
Class and Description |
---|
LabelEvaluation
Adds multi-class classification specific metrics to
ClassifierEvaluation . |
Class and Description |
---|
ClassifierEvaluation
Defines methods that calculate classification performance, used for both multi-class and multi-label classification.
|
ConfusionMatrix
A confusion matrix for
Classifiable s. |
LabelEvaluation
Adds multi-class classification specific metrics to
ClassifierEvaluation . |
LabelEvaluationUtil.PRCurve
Stores the Precision-Recall curve as three arrays: the precisions, the recalls,
and the thresholds associated with those values.
|
LabelEvaluationUtil.ROC
Stores the ROC curve as three arrays: the false positive rate, the true positive rate,
and the thresholds associated with those rates.
|
LabelMetric |
LabelMetric.Context
The context for a
LabelMetric is a ConfusionMatrix . |
LabelMetrics
An enum of the default
LabelMetric s supported by the multi-class classification
evaluation package. |
Class and Description |
---|
ConfusionMatrix
A confusion matrix for
Classifiable s. |
LabelMetric |
LabelMetric.Context
The context for a
LabelMetric is a ConfusionMatrix . |
Class and Description |
---|
ClassifierEvaluation
Defines methods that calculate classification performance, used for both multi-class and multi-label classification.
|
ConfusionMatrix
A confusion matrix for
Classifiable s. |
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