Class MeanSquaredErrorMetric
java.lang.Object
org.elasticsearch.client.ml.dataframe.evaluation.regression.MeanSquaredErrorMetric
- All Implemented Interfaces:
EvaluationMetric,ToXContent,ToXContentObject
public class MeanSquaredErrorMetric extends java.lang.Object implements EvaluationMetric
Calculates the mean squared error between two known numerical fields.
equation: mse = 1/n * Σ(y - y´)^2
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classMeanSquaredErrorMetric.ResultNested classes/interfaces inherited from interface org.elasticsearch.common.xcontent.ToXContent
ToXContent.DelegatingMapParams, ToXContent.MapParams, ToXContent.Params -
Field Summary
Fields Modifier and Type Field Description static java.lang.StringNAME -
Constructor Summary
Constructors Constructor Description MeanSquaredErrorMetric() -
Method Summary
Modifier and Type Method Description booleanequals(java.lang.Object o)static MeanSquaredErrorMetricfromXContent(XContentParser parser)java.lang.StringgetName()Returns the name of the metricinthashCode()XContentBuildertoXContent(XContentBuilder builder, ToXContent.Params params)
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Field Details
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NAME
public static final java.lang.String NAME- See Also:
- Constant Field Values
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Constructor Details
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MeanSquaredErrorMetric
public MeanSquaredErrorMetric()
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Method Details
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fromXContent
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toXContent
public XContentBuilder toXContent(XContentBuilder builder, ToXContent.Params params) throws java.io.IOException- Specified by:
toXContentin interfaceToXContent- 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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getName
public java.lang.String getName()Description copied from interface:EvaluationMetricReturns the name of the metric- Specified by:
getNamein interfaceEvaluationMetric
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