Package | Description |
---|---|
org.tribuo |
Provides the core interfaces and classes for using Tribuo.
|
org.tribuo.anomaly |
Provides classes and infrastructure for anomaly detection problems.
|
org.tribuo.anomaly.evaluation |
Evaluation classes for anomaly detection.
|
org.tribuo.classification |
Provides classes and infrastructure for multiclass classification problems.
|
org.tribuo.classification.evaluation |
Evaluation classes for multi-class classification.
|
org.tribuo.clustering |
Provides classes and infrastructure for working with clustering problems.
|
org.tribuo.clustering.evaluation |
Evaluation classes for clustering.
|
org.tribuo.evaluation |
Evaluation base classes, along with code for train/test splits and cross validation.
|
org.tribuo.multilabel |
Provides classes and infrastructure for working with multi-label classification problems.
|
org.tribuo.multilabel.evaluation |
Evaluation classes for multi-label classification using
MultiLabel . |
org.tribuo.regression |
Provides classes and infrastructure for regression problems with single or multiple output dimensions.
|
org.tribuo.regression.evaluation |
Evaluation classes for single or multi-dimensional regression.
|
Modifier and Type | Method and Description |
---|---|
Evaluator<T,? extends Evaluation<T>> |
OutputFactory.getEvaluator()
Gets an
Evaluator suitable for measuring performance of predictions for the Output subclass. |
Modifier and Type | Method and Description |
---|---|
Evaluator<Event,AnomalyEvaluation> |
AnomalyFactory.getEvaluator() |
Modifier and Type | Class and Description |
---|---|
class |
AnomalyEvaluator
|
Modifier and Type | Method and Description |
---|---|
Evaluator<Label,LabelEvaluation> |
LabelFactory.getEvaluator() |
Modifier and Type | Class and Description |
---|---|
class |
LabelEvaluator
|
Modifier and Type | Method and Description |
---|---|
Evaluator<ClusterID,ClusteringEvaluation> |
ClusteringFactory.getEvaluator() |
Modifier and Type | Class and Description |
---|---|
class |
ClusteringEvaluator
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractEvaluator<T extends Output<T>,C extends MetricContext<T>,E extends Evaluation<T>,M extends EvaluationMetric<T,C>>
Base class for evaluators.
|
Modifier and Type | Method and Description |
---|---|
static <T extends Output<T>,R extends Evaluation<T>> |
EvaluationAggregator.summarize(Evaluator<T,R> evaluator,
List<? extends Model<T>> models,
Dataset<T> dataset)
Summarize performance using the supplied evaluator across several models on one dataset.
|
static <T extends Output<T>,R extends Evaluation<T>> |
EvaluationAggregator.summarize(Evaluator<T,R> evaluator,
Model<T> model,
List<? extends Dataset<T>> datasets)
Summarize performance according to evaluator for a single model across several datasets.
|
Constructor and Description |
---|
CrossValidation(Trainer<T> trainer,
Dataset<T> data,
Evaluator<T,E> evaluator,
int k)
Builds a k-fold cross-validation loop.
|
CrossValidation(Trainer<T> trainer,
Dataset<T> data,
Evaluator<T,E> evaluator,
int k,
long seed)
Builds a k-fold cross-validation loop.
|
OnlineEvaluator(Evaluator<T,E> evaluator,
Model<T> model,
DataProvenance provenance)
Constructs an
OnlineEvaluator which accumulates predictions. |
Modifier and Type | Method and Description |
---|---|
Evaluator<MultiLabel,MultiLabelEvaluation> |
MultiLabelFactory.getEvaluator() |
Modifier and Type | Class and Description |
---|---|
class |
MultiLabelEvaluator
An
Evaluator for MultiLabel problems. |
Modifier and Type | Method and Description |
---|---|
Evaluator<Regressor,RegressionEvaluation> |
RegressionFactory.getEvaluator() |
Modifier and Type | Class and Description |
---|---|
class |
RegressionEvaluator
|
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