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

Packages that use EvaluationMetric

Package	Description
org.tribuo.evaluation	Evaluation base classes, along with code for train/test splits and cross validation.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.

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.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.