Package org.apache.ignite.ml.selection.scoring.evaluator.aggregator

Package contains aggregators for metrics computation.

See: Description

Interface Summary

Interface	Description
MetricStatsAggregator<L,Ctx,Self extends MetricStatsAggregator<L,Ctx,? super Self>>	Classes with such interface are responsible for metric statistics aggregations used for metric computations over given dataset.

Class Summary

Class	Description
BinaryClassificationPointwiseMetricStatsAggregator<L extends Serializable>	This class represents statistics for pointwise metrics evaluation for binary classification like TruePositive, FalsePositive, TrueNegative and FalseNegative.
BinaryClassificationPointwiseMetricStatsAggregator.WithCustomLabelsAggregator<L extends Serializable>	Class represents already initialized aggregator.
ClassificationMetricsAggregator<L extends Serializable>	Class represents aggregations for classification metric (including multi-classification case).
RegressionMetricStatsAggregator	Class represents statistics aggregator for regression estimation.

Package org.apache.ignite.ml.selection.scoring.evaluator.aggregator Description

Package contains aggregators for metrics computation.