Class DataframeEvaluationRegressionMetrics
java.lang.Object
co.elastic.clients.elasticsearch.ml.DataframeEvaluationRegressionMetrics
- All Implemented Interfaces:
JsonpSerializable
@JsonpDeserializable
public class DataframeEvaluationRegressionMetrics
extends Object
implements JsonpSerializable
- See Also:
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Nested Class Summary
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Field Summary
Modifier and TypeFieldDescriptionstatic final JsonpDeserializer<DataframeEvaluationRegressionMetrics>
Json deserializer forDataframeEvaluationRegressionMetrics
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Method Summary
Modifier and TypeMethodDescriptionhuber()
Pseudo Huber loss function.mse()
Average squared difference between the predicted values and the actual (ground truth) value.msle()
Average squared difference between the logarithm of the predicted values and the logarithm of the actual (ground truth) value.of
(Function<DataframeEvaluationRegressionMetrics.Builder, ObjectBuilder<DataframeEvaluationRegressionMetrics>> fn) rSquared()
Proportion of the variance in the dependent variable that is predictable from the independent variables.void
serialize
(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) Serialize this object to JSON.protected void
serializeInternal
(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) protected static void
setupDataframeEvaluationRegressionMetricsDeserializer
(ObjectDeserializer<DataframeEvaluationRegressionMetrics.Builder> op) toString()
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Field Details
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_DESERIALIZER
Json deserializer forDataframeEvaluationRegressionMetrics
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Method Details
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of
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mse
Average squared difference between the predicted values and the actual (ground truth) value. For more information, read this wiki article.API name:
mse
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msle
Average squared difference between the logarithm of the predicted values and the logarithm of the actual (ground truth) value.API name:
msle
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huber
Pseudo Huber loss function.API name:
huber
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rSquared
Proportion of the variance in the dependent variable that is predictable from the independent variables.API name:
r_squared
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serialize
Serialize this object to JSON.- Specified by:
serialize
in interfaceJsonpSerializable
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serializeInternal
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toString
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setupDataframeEvaluationRegressionMetricsDeserializer
protected static void setupDataframeEvaluationRegressionMetricsDeserializer(ObjectDeserializer<DataframeEvaluationRegressionMetrics.Builder> op)
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