Uses of Class
org.tribuo.evaluation.metrics.MetricContext

Packages that use MetricContext

Package	Description
org.tribuo.classification.evaluation	Evaluation classes for multi-class classification.
org.tribuo.evaluation	Evaluation base classes, along with code for train/test splits and cross validation.
org.tribuo.evaluation.metrics	This package contains the infrastructure classes for building evaluation metrics.
org.tribuo.sequence	Provides core classes for working with sequences of Examples.

Uses of MetricContext in org.tribuo.classification.evaluation

Subclasses of MetricContext in org.tribuo.classification.evaluation

Modifier and Type	Class and Description
static class	LabelMetric.Context The context for a LabelMetric is a ConfusionMatrix.

Uses of MetricContext in org.tribuo.evaluation

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

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.

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

Modifier and Type	Method and 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.
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.
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.

Uses of MetricContext in org.tribuo.evaluation.metrics

Classes in org.tribuo.evaluation.metrics with type parameters of type MetricContext

Modifier and Type	Interface and Description
interface	EvaluationMetric<T extends Output<T>,C extends MetricContext<T>> A metric that can be calculated for the specified output type.

Uses of MetricContext in org.tribuo.sequence

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

Modifier and Type	Class and 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.