Uses of Interface
org.tribuo.evaluation.metrics.EvaluationMetric

Packages that use EvaluationMetric

Package	Description
org.tribuo.anomaly.evaluation	Evaluation classes for anomaly detection.
org.tribuo.classification.evaluation	Evaluation classes for multi-class classification.
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.evaluation	Evaluation classes for multi-label classification using MultiLabel.
org.tribuo.regression.evaluation	Evaluation classes for single or multi-dimensional regression.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.

Uses of EvaluationMetric in org.tribuo.anomaly.evaluation

Classes in org.tribuo.anomaly.evaluation that implement EvaluationMetric

Modifier and Type	Class	Description
class	AnomalyMetric	A metric for evaluating anomaly detection problems.

Uses of EvaluationMetric in org.tribuo.classification.evaluation

Classes in org.tribuo.classification.evaluation that implement EvaluationMetric

Modifier and Type	Class	Description
class	LabelMetric	A EvaluationMetric for Labels which calculates the value based on a ConfusionMatrix.

Uses of EvaluationMetric in org.tribuo.clustering.evaluation

Classes in org.tribuo.clustering.evaluation that implement EvaluationMetric

Modifier and Type	Class	Description
class	ClusteringMetric	A metric for evaluating clustering problems.

Uses of EvaluationMetric in org.tribuo.evaluation

Classes in org.tribuo.evaluation with type parameters of type EvaluationMetric

Modifier and Type	Class	Description
class	AbstractEvaluator<T extends Output<T>, C extends MetricContext<T>, E extends Evaluation<T>, M extends EvaluationMetric<T,C>>	Base class for evaluators.

Methods in org.tribuo.evaluation with parameters of type EvaluationMetric

Modifier and Type	Method	Description
static <T extends Output<T>, C extends MetricContext<T>> com.oracle.labs.mlrg.olcut.util.Pair<Integer,Double>	EvaluationAggregator.argmax(EvaluationMetric<T,C> metric, List<? extends Model<T>> models, Dataset<T> dataset)	Calculates the argmax of a metric across the supplied models (i.e., the index of the model which performed the best).
static <T extends Output<T>, C extends MetricContext<T>> com.oracle.labs.mlrg.olcut.util.Pair<Integer,Double>	EvaluationAggregator.argmax(EvaluationMetric<T,C> metric, Model<T> model, List<? extends Dataset<T>> datasets)	Calculates the argmax of a metric across the supplied datasets.
static <T extends Output<T>, C extends MetricContext<T>> DescriptiveStats	EvaluationAggregator.summarize(EvaluationMetric<T,C> metric, List<? extends Model<T>> models, Dataset<T> dataset)	Summarize performance w.r.t.
static <T extends Output<T>, C extends MetricContext<T>> DescriptiveStats	EvaluationAggregator.summarize(EvaluationMetric<T,C> metric, Model<T> model, List<? extends Dataset<T>> datasets)	Summarize a model's performance w.r.t.

Method parameters in org.tribuo.evaluation with type arguments of type EvaluationMetric

Modifier and Type	Method	Description
protected Map<MetricID<T>, Double>	AbstractEvaluator.computeResults(C ctx, Set<? extends EvaluationMetric<T,C>> metrics)	Computes each metric given the context.
static <T extends Output<T>, C extends MetricContext<T>> DescriptiveStats	EvaluationAggregator.summarize(List<? extends EvaluationMetric<T,C>> metrics, Model<T> model, List<Prediction<T>> predictions)	Summarize model performance on dataset across several metrics.
static <T extends Output<T>, C extends MetricContext<T>> DescriptiveStats	EvaluationAggregator.summarize(List<? extends EvaluationMetric<T,C>> metrics, Model<T> model, Dataset<T> dataset)	Summarize model performance on dataset across several metrics.

Uses of EvaluationMetric in org.tribuo.multilabel.evaluation

Classes in org.tribuo.multilabel.evaluation that implement EvaluationMetric

Modifier and Type	Class	Description
class	MultiLabelMetric	A EvaluationMetric for evaluating MultiLabel problems.

Uses of EvaluationMetric in org.tribuo.regression.evaluation

Classes in org.tribuo.regression.evaluation that implement EvaluationMetric

Modifier and Type	Class	Description
class	RegressionMetric	A EvaluationMetric for Regressors which calculates the metric based on a the true values and the predicted values.

Uses of EvaluationMetric in org.tribuo.sequence

Classes in org.tribuo.sequence with type parameters of type EvaluationMetric

Modifier and Type	Class	Description
class	AbstractSequenceEvaluator<T extends Output<T>, C extends MetricContext<T>, E extends SequenceEvaluation<T>, M extends EvaluationMetric<T,C>>	Base class for sequence evaluators.

Method parameters in org.tribuo.sequence with type arguments of type EvaluationMetric

Modifier and Type	Method	Description
protected Map<MetricID<T>, Double>	AbstractSequenceEvaluator.computeResults(C ctx, Set<? extends EvaluationMetric<T,C>> metrics)	Computes each metric given the context.