Package co.elastic.clients.elasticsearch.ml.evaluate_data_frame

Class DataframeRegressionSummary

java.lang.Object

co.elastic.clients.elasticsearch.ml.evaluate_data_frame.DataframeRegressionSummary

All Implemented Interfaces:

JsonpSerializable

@JsonpDeserializable
public class DataframeRegressionSummary
extends Object
implements JsonpSerializable

See Also:

• API specification

Nested Class Summary

Nested Classes

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

Field Summary

Fields

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

Method Summary

Modifier and Type	Method	Description
final DataframeEvaluationValue	huber()	Pseudo Huber loss function.
final DataframeEvaluationValue	mse()	Average squared difference between the predicted values and the actual (ground truth) value.
final DataframeEvaluationValue	msle()	Average squared difference between the logarithm of the predicted values and the logarithm of the actual (ground truth) value.
static DataframeRegressionSummary	of(Function<DataframeRegressionSummary.Builder,ObjectBuilder<DataframeRegressionSummary>> fn)
final DataframeEvaluationValue	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	setupDataframeRegressionSummaryDeserializer(ObjectDeserializer<DataframeRegressionSummary.Builder> op)
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<DataframeRegressionSummary> _DESERIALIZER

Json deserializer for DataframeRegressionSummary

Method Details

of

public static DataframeRegressionSummary of(Function<DataframeRegressionSummary.Builder,ObjectBuilder<DataframeRegressionSummary>> fn)

huber

@Nullable
public final DataframeEvaluationValue huber()

Pseudo Huber loss function.

API name: huber

mse

@Nullable
public final DataframeEvaluationValue mse()

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

API name: mse

msle

@Nullable
public final DataframeEvaluationValue msle()

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

API name: msle

rSquared

@Nullable
public final DataframeEvaluationValue 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 String toString()

Overrides:

toString in class Object

setupDataframeRegressionSummaryDeserializer

protected static void setupDataframeRegressionSummaryDeserializer(ObjectDeserializer<DataframeRegressionSummary.Builder> op)