# 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.

2020 Copyright © Apache Software Foundation
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Ignite Database and Caching Platform | : ver. 2.9.1
Release Date | : December 9 2020