Uses of Interface
org.tribuo.regression.evaluation.RegressionEvaluation

Packages that use RegressionEvaluation

Package	Description
org.tribuo.classification.explanations.lime	Provides an implementation of LIME (Locally Interpretable Model Explanations).
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.

Uses of RegressionEvaluation in org.tribuo.classification.explanations.lime

Methods in org.tribuo.classification.explanations.lime that return RegressionEvaluation

Modifier and Type	Method and Description
RegressionEvaluation	LIMEExplanation.getEvaluation() Gets the evaluator which scores how close the sparse model's predictions are to the complex model's predictions.

Constructors in org.tribuo.classification.explanations.lime with parameters of type RegressionEvaluation

Constructor and Description
LIMEExplanation(SparseModel<Regressor> model, Prediction<Label> prediction, RegressionEvaluation evaluation)

Uses of RegressionEvaluation in org.tribuo.regression

Methods in org.tribuo.regression that return types with arguments of type RegressionEvaluation

Modifier and Type	Method and Description
Evaluator<Regressor,RegressionEvaluation>	RegressionFactory.getEvaluator()

Uses of RegressionEvaluation in org.tribuo.regression.evaluation

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

Modifier and Type	Method and Description
protected RegressionEvaluation	RegressionEvaluator.createEvaluation(org.tribuo.regression.evaluation.RegressionMetric.Context context, Map<MetricID<Regressor>,Double> results, EvaluationProvenance provenance)