Class HuberMetric
java.lang.Object
org.elasticsearch.client.ml.dataframe.evaluation.regression.HuberMetric
- All Implemented Interfaces:
EvaluationMetric,org.elasticsearch.common.xcontent.ToXContent,org.elasticsearch.common.xcontent.ToXContentObject
public class HuberMetric extends java.lang.Object implements EvaluationMetric
Calculates the pseudo Huber loss function.
equation: huber = 1/n * Σ(δ^2 * sqrt(1 + a^2 / δ^2) - 1)
where: a = y - y´
δ - parameter that controls the steepness
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classHuberMetric.Result -
Field Summary
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Constructor Summary
Constructors Constructor Description HuberMetric(java.lang.Double delta) -
Method Summary
Modifier and Type Method Description booleanequals(java.lang.Object o)static HuberMetricfromXContent(org.elasticsearch.common.xcontent.XContentParser parser)java.lang.StringgetName()Returns the name of the metricinthashCode()org.elasticsearch.common.xcontent.XContentBuildertoXContent(org.elasticsearch.common.xcontent.XContentBuilder builder, org.elasticsearch.common.xcontent.ToXContent.Params params)
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Field Details
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Constructor Details
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HuberMetric
public HuberMetric(@Nullable java.lang.Double delta)
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Method Details
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fromXContent
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getName
public java.lang.String getName()Description copied from interface:EvaluationMetricReturns the name of the metric- Specified by:
getNamein interfaceEvaluationMetric
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toXContent
public org.elasticsearch.common.xcontent.XContentBuilder toXContent(org.elasticsearch.common.xcontent.XContentBuilder builder, org.elasticsearch.common.xcontent.ToXContent.Params params) throws java.io.IOException- Specified by:
toXContentin interfaceorg.elasticsearch.common.xcontent.ToXContent- Throws:
java.io.IOException
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equals
public boolean equals(java.lang.Object o)- Overrides:
equalsin classjava.lang.Object
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hashCode
public int hashCode()- Overrides:
hashCodein classjava.lang.Object
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