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

Packages that use MetricTarget

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.metrics	This package contains the infrastructure classes for building evaluation metrics.
org.tribuo.multilabel.evaluation	Evaluation classes for multi-label classification using MultiLabel.
org.tribuo.regression.evaluation	Evaluation classes for single or multi-dimensional regression.

Uses of MetricTarget in org.tribuo.anomaly.evaluation

Methods in org.tribuo.anomaly.evaluation that return MetricTarget

Modifier and Type	Method and Description
MetricTarget<Event>	AnomalyMetric.getTarget()

Constructors in org.tribuo.anomaly.evaluation with parameters of type MetricTarget

Constructor and Description
AnomalyMetric(MetricTarget<Event> target, String name, ToDoubleBiFunction<MetricTarget<Event>,org.tribuo.anomaly.evaluation.AnomalyMetric.Context> impl) Creates an anomaly detection metric, with a specific name, using the supplied evaluation function.

Constructor parameters in org.tribuo.anomaly.evaluation with type arguments of type MetricTarget

Constructor and Description
AnomalyMetric(MetricTarget<Event> target, String name, ToDoubleBiFunction<MetricTarget<Event>,org.tribuo.anomaly.evaluation.AnomalyMetric.Context> impl) Creates an anomaly detection metric, with a specific name, using the supplied evaluation function.

Uses of MetricTarget in org.tribuo.classification.evaluation

Methods in org.tribuo.classification.evaluation that return MetricTarget

Modifier and Type	Method and Description
MetricTarget<Label>	LabelMetric.getTarget()

Methods in org.tribuo.classification.evaluation that return types with arguments of type MetricTarget

Modifier and Type	Method and Description
ToDoubleBiFunction<MetricTarget<Label>,LabelMetric.Context>	LabelMetrics.getImpl() Returns the implementing function for this metric.

Methods in org.tribuo.classification.evaluation with parameters of type MetricTarget

Modifier and Type	Method and Description
static <T extends Classifiable<T>> double	ConfusionMetrics.accuracy(MetricTarget<T> target, ConfusionMatrix<T> cm) Calculates the accuracy given this confusion matrix.
static double	LabelMetrics.AUCROC(MetricTarget<Label> tgt, List<Prediction<Label>> predictions) Area under the ROC curve.
static double	LabelMetrics.averagedPrecision(MetricTarget<Label> tgt, List<Prediction<Label>> predictions)
static <T extends Classifiable<T>> double	ConfusionMetrics.f1(MetricTarget<T> tgt, ConfusionMatrix<T> cm) Computes the F_1 score.
static <T extends Classifiable<T>> double	ConfusionMetrics.fn(MetricTarget<T> tgt, ConfusionMatrix<T> cm) Returns the number of false negatives, possibly averaged depending on the metric target.
LabelMetric	LabelMetrics.forTarget(MetricTarget<Label> tgt) Gets the LabelMetric wrapped around the supplied MetricTarget.
static <T extends Classifiable<T>> double	ConfusionMetrics.fp(MetricTarget<T> tgt, ConfusionMatrix<T> cm) Returns the number of false positives, possibly averaged depending on the metric target.
static <T extends Classifiable<T>> double	ConfusionMetrics.fscore(MetricTarget<T> tgt, ConfusionMatrix<T> cm, double beta) Computes the Fscore.
static <T extends Classifiable<T>> double	ConfusionMetrics.precision(MetricTarget<T> tgt, ConfusionMatrix<T> cm) Calculates the precision for this metric target.
static <T extends Classifiable<T>> double	ConfusionMetrics.recall(MetricTarget<T> tgt, ConfusionMatrix<T> cm) Calculates the recall for this metric target.
static <T extends Classifiable<T>> double	ConfusionMetrics.tn(MetricTarget<T> tgt, ConfusionMatrix<T> cm) Returns the number of true negatives, possibly averaged depending on the metric target.
static <T extends Classifiable<T>> double	ConfusionMetrics.tp(MetricTarget<T> tgt, ConfusionMatrix<T> cm) Returns the number of true positives, possibly averaged depending on the metric target.

Constructors in org.tribuo.classification.evaluation with parameters of type MetricTarget

Constructor and Description
LabelMetric(MetricTarget<Label> tgt, String name, ToDoubleBiFunction<MetricTarget<Label>,LabelMetric.Context> impl) Construct a new LabelMetric for the supplied metric target, using the supplied function.

Constructor parameters in org.tribuo.classification.evaluation with type arguments of type MetricTarget

Constructor and Description
LabelMetric(MetricTarget<Label> tgt, String name, ToDoubleBiFunction<MetricTarget<Label>,LabelMetric.Context> impl) Construct a new LabelMetric for the supplied metric target, using the supplied function.

Uses of MetricTarget in org.tribuo.clustering.evaluation

Methods in org.tribuo.clustering.evaluation that return MetricTarget

Modifier and Type	Method and Description
MetricTarget<ClusterID>	ClusteringMetric.getTarget()

Methods in org.tribuo.clustering.evaluation that return types with arguments of type MetricTarget

Modifier and Type	Method and Description
BiFunction<MetricTarget<ClusterID>,org.tribuo.clustering.evaluation.ClusteringMetric.Context,Double>	ClusteringMetrics.getImpl()

Methods in org.tribuo.clustering.evaluation with parameters of type MetricTarget

Modifier and Type	Method and Description
ClusteringMetric	ClusteringMetrics.forTarget(MetricTarget<ClusterID> tgt)

Constructors in org.tribuo.clustering.evaluation with parameters of type MetricTarget

Constructor and Description
ClusteringMetric(MetricTarget<ClusterID> target, String name, BiFunction<MetricTarget<ClusterID>,org.tribuo.clustering.evaluation.ClusteringMetric.Context,Double> impl)

Constructor parameters in org.tribuo.clustering.evaluation with type arguments of type MetricTarget

Constructor and Description
ClusteringMetric(MetricTarget<ClusterID> target, String name, BiFunction<MetricTarget<ClusterID>,org.tribuo.clustering.evaluation.ClusteringMetric.Context,Double> impl)

Uses of MetricTarget in org.tribuo.evaluation.metrics

Methods in org.tribuo.evaluation.metrics that return MetricTarget

Modifier and Type	Method and Description
MetricTarget<T>	EvaluationMetric.getTarget() The target for this metric instance.
static <U extends Output<U>> MetricTarget<U>	MetricTarget.macroAverageTarget() Get the singleton MetricTarget which contains the EvaluationMetric.Average.MACRO.
static <U extends Output<U>> MetricTarget<U>	MetricTarget.microAverageTarget() Get the singleton MetricTarget which contains the EvaluationMetric.Average.MICRO.

Constructors in org.tribuo.evaluation.metrics with parameters of type MetricTarget

Constructor and Description
MetricID(MetricTarget<T> target, String metricName)

Uses of MetricTarget in org.tribuo.multilabel.evaluation

Methods in org.tribuo.multilabel.evaluation that return MetricTarget

Modifier and Type	Method and Description
MetricTarget<MultiLabel>	MultiLabelMetric.getTarget()

Methods in org.tribuo.multilabel.evaluation that return types with arguments of type MetricTarget

Modifier and Type	Method and Description
BiFunction<MetricTarget<MultiLabel>,org.tribuo.multilabel.evaluation.MultiLabelMetric.Context,Double>	MultiLabelMetrics.getImpl()

Methods in org.tribuo.multilabel.evaluation with parameters of type MetricTarget

Modifier and Type	Method and Description
MultiLabelMetric	MultiLabelMetrics.forTarget(MetricTarget<MultiLabel> tgt)

Constructors in org.tribuo.multilabel.evaluation with parameters of type MetricTarget

Constructor and Description
MultiLabelMetric(MetricTarget<MultiLabel> target, String name, BiFunction<MetricTarget<MultiLabel>,org.tribuo.multilabel.evaluation.MultiLabelMetric.Context,Double> impl)

Constructor parameters in org.tribuo.multilabel.evaluation with type arguments of type MetricTarget

Constructor and Description
MultiLabelMetric(MetricTarget<MultiLabel> target, String name, BiFunction<MetricTarget<MultiLabel>,org.tribuo.multilabel.evaluation.MultiLabelMetric.Context,Double> impl)

Uses of MetricTarget in org.tribuo.regression.evaluation

Methods in org.tribuo.regression.evaluation that return MetricTarget

Modifier and Type	Method and Description
MetricTarget<Regressor>	RegressionMetric.getTarget()

Methods in org.tribuo.regression.evaluation with parameters of type MetricTarget

Modifier and Type	Method and Description
static double	RegressionMetrics.explainedVariance(MetricTarget<Regressor> target, RegressionSufficientStatistics sufficientStats) Calculates the explained variance based on the supplied statistics.
static double	RegressionMetrics.mae(MetricTarget<Regressor> target, RegressionSufficientStatistics sufficientStats) Calculates the Mean Absolute Error based on the supplied statistics.
static double	RegressionMetrics.r2(MetricTarget<Regressor> target, RegressionSufficientStatistics sufficientStats) Calculates R^2 based on the supplied statistics.
static double	RegressionMetrics.rmse(MetricTarget<Regressor> target, RegressionSufficientStatistics sufficientStats) Calculates the RMSE based on the supplied statistics.

Constructors in org.tribuo.regression.evaluation with parameters of type MetricTarget

Constructor and Description
RegressionMetric(MetricTarget<Regressor> tgt, String name, ToDoubleBiFunction<MetricTarget<Regressor>,org.tribuo.regression.evaluation.RegressionMetric.Context> impl) Construct a new RegressionMetric for the supplied metric target, using the supplied function.
RegressionMetric(MetricTarget<Regressor> tgt, String name, ToDoubleBiFunction<MetricTarget<Regressor>,org.tribuo.regression.evaluation.RegressionMetric.Context> impl, boolean useExampleWeights) Construct a new RegressionMetric for the supplied metric target, using the supplied function.

Constructor parameters in org.tribuo.regression.evaluation with type arguments of type MetricTarget

Constructor and Description
RegressionMetric(MetricTarget<Regressor> tgt, String name, ToDoubleBiFunction<MetricTarget<Regressor>,org.tribuo.regression.evaluation.RegressionMetric.Context> impl) Construct a new RegressionMetric for the supplied metric target, using the supplied function.
RegressionMetric(MetricTarget<Regressor> tgt, String name, ToDoubleBiFunction<MetricTarget<Regressor>,org.tribuo.regression.evaluation.RegressionMetric.Context> impl, boolean useExampleWeights) Construct a new RegressionMetric for the supplied metric target, using the supplied function.