Uses of Class
org.tribuo.evaluation.DescriptiveStats

Packages that use DescriptiveStats

Package	Description
org.tribuo.evaluation	Evaluation base classes, along with code for train/test splits and cross validation.

Uses of DescriptiveStats in org.tribuo.evaluation

Methods in org.tribuo.evaluation that return DescriptiveStats

Modifier and Type	Method	Description
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.
static <T extends Output<T>, R extends Evaluation<T>> DescriptiveStats	EvaluationAggregator.summarize(List<R> evaluations, ToDoubleFunction<R> fieldGetter)	Summarize a single field of an evaluation across several evaluations.
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.

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

Modifier and Type	Method	Description
static <T extends Output<T>, R extends Evaluation<T>> Map<MetricID<T>,DescriptiveStats>	EvaluationAggregator.summarize(List<R> evaluations)	Summarize all fields of a list of evaluations.
static <T extends Output<T>, R extends Evaluation<T>> Map<MetricID<T>,DescriptiveStats>	EvaluationAggregator.summarize(Evaluator<T,R> evaluator, List<? extends Model<T>> models, Dataset<T> dataset)	Summarize performance using the supplied evaluator across several models on one dataset.
static <T extends Output<T>, R extends Evaluation<T>> Map<MetricID<T>,DescriptiveStats>	EvaluationAggregator.summarize(Evaluator<T,R> evaluator, Model<T> model, List<? extends Dataset<T>> datasets)	Summarize performance according to evaluator for a single model across several datasets.
static <T extends Output<T>, R extends Evaluation<T>> Map<MetricID<T>,DescriptiveStats>	EvaluationAggregator.summarizeCrossValidation(List<com.oracle.labs.mlrg.olcut.util.Pair<R,Model<T>>> evaluations)	Summarize all fields of a list of evaluations produced by CrossValidation.