## Uses of Class
org.apache.ignite.ml.selection.scoring.evaluator.aggregator.BinaryClassificationPointwiseMetricStatsAggregator

- Packages that use BinaryClassificationPointwiseMetricStatsAggregator
  Package | Description
  --- | ---
  org.apache.ignite.ml.selection.scoring.evaluator.aggregator | Package contains aggregators for metrics computation.
  org.apache.ignite.ml.selection.scoring.metric.classification | Package for classification metrics.

- - ### Uses of BinaryClassificationPointwiseMetricStatsAggregator in org.apache.ignite.ml.selection.scoring.evaluator.aggregator

    Subclasses of BinaryClassificationPointwiseMetricStatsAggregator in org.apache.ignite.ml.selection.scoring.evaluator.aggregator
    Modifier and Type | Class and Description
    --- | ---
    `static class` | `BinaryClassificationPointwiseMetricStatsAggregator.WithCustomLabelsAggregator<L extends Serializable>` Class represents already initialized aggregator.

    Methods in org.apache.ignite.ml.selection.scoring.evaluator.aggregator that return BinaryClassificationPointwiseMetricStatsAggregator
    Modifier and Type | Method and Description
    --- | ---
    `BinaryClassificationPointwiseMetricStatsAggregator<L>` | BinaryClassificationPointwiseMetricStatsAggregator.`mergeWith(BinaryClassificationPointwiseMetricStatsAggregator other)` Merges statistics of two aggregators to new aggreagator.

    Methods in org.apache.ignite.ml.selection.scoring.evaluator.aggregator with parameters of type BinaryClassificationPointwiseMetricStatsAggregator
    Modifier and Type | Method and Description
    --- | ---
    `BinaryClassificationPointwiseMetricStatsAggregator<L>` | BinaryClassificationPointwiseMetricStatsAggregator.`mergeWith(BinaryClassificationPointwiseMetricStatsAggregator other)` Merges statistics of two aggregators to new aggreagator.

  - ### Uses of BinaryClassificationPointwiseMetricStatsAggregator in org.apache.ignite.ml.selection.scoring.metric.classification

    Methods in org.apache.ignite.ml.selection.scoring.metric.classification that return BinaryClassificationPointwiseMetricStatsAggregator
    Modifier and Type | Method and Description
    --- | ---
    `BinaryClassificationPointwiseMetricStatsAggregator<L>` | BinaryClassificationMetric.`makeAggregator()` Creates statistics aggregator.

    Methods in org.apache.ignite.ml.selection.scoring.metric.classification with parameters of type BinaryClassificationPointwiseMetricStatsAggregator
    Modifier and Type | Method and Description
    --- | ---
    `MissRate<L>` | MissRate.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `FalsePositiveAbsoluteValue<L>` | FalsePositiveAbsoluteValue.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `BalancedAccuracy<L>` | BalancedAccuracy.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `Precision<L>` | Precision.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `Specificity<L>` | Specificity.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `TrueNegativeAbsoluteValue<L>` | TrueNegativeAbsoluteValue.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `FallOut<L>` | FallOut.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `Recall<L>` | Recall.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `Fdr<L>` | Fdr.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `TruePositiveAbsoluteValue<L>` | TruePositiveAbsoluteValue.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `FalseNegativeAbsoluteValue<L>` | FalseNegativeAbsoluteValue.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `FMeasure<L>` | FMeasure.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.
    `Npv<L>` | Npv.`initBy(BinaryClassificationPointwiseMetricStatsAggregator<L> aggr)` Initializes metric value by statistics aggregator.

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Release Date | : October 15 2020