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:
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Nested Class Summary
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Field Summary
Modifier and TypeFieldDescriptionstatic final JsonpDeserializer<DataframeRegressionSummary>
Json deserializer forDataframeRegressionSummary
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Method Summary
Modifier and TypeMethodDescriptionfinal 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
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) toString()
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Field Details
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_DESERIALIZER
Json deserializer forDataframeRegressionSummary
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Method Details
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of
public static DataframeRegressionSummary of(Function<DataframeRegressionSummary.Builder, ObjectBuilder<DataframeRegressionSummary>> fn) -
huber
Pseudo Huber loss function.API name:
huber
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mse
Average squared difference between the predicted values and the actual (ground truth
) value.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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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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setupDataframeRegressionSummaryDeserializer
protected static void setupDataframeRegressionSummaryDeserializer(ObjectDeserializer<DataframeRegressionSummary.Builder> op)
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