Package co.elastic.clients.elasticsearch.ml

Class DataframeEvaluationRegressionMetrics

java.lang.Object

co.elastic.clients.elasticsearch.ml.DataframeEvaluationRegressionMetrics

All Implemented Interfaces:

JsonpSerializable

@JsonpDeserializable
public class DataframeEvaluationRegressionMetrics
extends java.lang.Object
implements JsonpSerializable

See Also:

API specification

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	DataframeEvaluationRegressionMetrics.Builder	Builder for DataframeEvaluationRegressionMetrics.

Field Summary

Fields

Modifier and Type	Field	Description
static JsonpDeserializer<DataframeEvaluationRegressionMetrics>	_DESERIALIZER	Json deserializer for DataframeEvaluationRegressionMetrics

Method Summary

Modifier and Type	Method	Description
DataframeEvaluationRegressionMetricsHuber	huber()	Pseudo Huber loss function.
java.util.Map<java.lang.String,JsonData>	mse()	Average squared difference between the predicted values and the actual (ground truth) value.
DataframeEvaluationRegressionMetricsMsle	msle()	Average squared difference between the logarithm of the predicted values and the logarithm of the actual (ground truth) value.
static DataframeEvaluationRegressionMetrics	of(java.util.function.Function<DataframeEvaluationRegressionMetrics.Builder,ObjectBuilder<DataframeEvaluationRegressionMetrics>> fn)
java.util.Map<java.lang.String,JsonData>	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)
java.lang.String	toString()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Details

_DESERIALIZER

public static final JsonpDeserializer<DataframeEvaluationRegressionMetrics> _DESERIALIZER

Json deserializer for DataframeEvaluationRegressionMetrics

Method Details

of

public static DataframeEvaluationRegressionMetrics of(java.util.function.Function<DataframeEvaluationRegressionMetrics.Builder,ObjectBuilder<DataframeEvaluationRegressionMetrics>> fn)

mse

public final java.util.Map<java.lang.String,JsonData> mse()

Average squared difference between the predicted values and the actual (ground truth) value. For more information, read this wiki article.

API name: mse

msle

@Nullable
public final DataframeEvaluationRegressionMetricsMsle msle()

Average squared difference between the logarithm of the predicted values and the logarithm of the actual (ground truth) value.

API name: msle

huber

@Nullable
public final DataframeEvaluationRegressionMetricsHuber huber()

Pseudo Huber loss function.

API name: huber

rSquared

public final java.util.Map<java.lang.String,JsonData> rSquared()

Proportion of the variance in the dependent variable that is predictable from the independent variables.

API name: r_squared

serialize

public void serialize(jakarta.json.stream.JsonGenerator generator,
JsonpMapper mapper)

Serialize this object to JSON.

Specified by:

serialize in interface JsonpSerializable

serializeInternal

protected void serializeInternal(jakarta.json.stream.JsonGenerator generator,
JsonpMapper mapper)

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

setupDataframeEvaluationRegressionMetricsDeserializer

protected static void setupDataframeEvaluationRegressionMetricsDeserializer(ObjectDeserializer<DataframeEvaluationRegressionMetrics.Builder> op)