Package | Description |
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org.apache.ignite.ml.selection.scoring.evaluator.aggregator |
Package contains aggregators for metrics computation.
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org.apache.ignite.ml.selection.scoring.metric |
Package for metrics.
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Modifier and Type | Interface and Description |
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interface |
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.
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Modifier and Type | Class and Description |
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class |
BinaryClassificationPointwiseMetricStatsAggregator<L extends Serializable>
This class represents statistics for pointwise metrics evaluation for binary classification like TruePositive,
FalsePositive, TrueNegative and FalseNegative.
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static class |
BinaryClassificationPointwiseMetricStatsAggregator.WithCustomLabelsAggregator<L extends Serializable>
Class represents already initialized aggregator.
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class |
ClassificationMetricsAggregator<L extends Serializable>
Class represents aggregations for classification metric (including multi-classification case).
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class |
RegressionMetricStatsAggregator
Class represents statistics aggregator for regression estimation.
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Modifier and Type | Interface and Description |
---|---|
interface |
Metric<L,C extends EvaluationContext<L,C>,A extends MetricStatsAggregator<L,C,A>>
This class represents a container with computed value of metric and it provides a factory for metric statistics
aggregation class.
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Ignite Database and Caching Platform : ver. 2.9.0 Release Date : October 15 2020