java.lang.Object
org.elasticsearch.xpack.core.ml.dataframe.evaluation.regression.MeanSquaredLogarithmicError
All Implemented Interfaces:
NamedWriteable, Writeable, org.elasticsearch.xcontent.ToXContent, org.elasticsearch.xcontent.ToXContentObject, EvaluationMetric

public class MeanSquaredLogarithmicError extends Object implements EvaluationMetric
Calculates the mean squared error between two known numerical fields. equation: msle = 1/n * Σ(log(y + offset) - log(y´ + offset))^2 where offset is used to make sure the argument to log function is always positive